# Atlan Reviews
**Vendor:** Atlan  
**Category:** [Machine Learning Data Catalog Software](https://www.g2.com/categories/machine-learning-data-catalog)  
**Average Rating:** 4.5/5.0  
**Total Reviews:** 128
## About Atlan
Atlan is the context layer for enterprise AI. It continuously reads your warehouses, databases, pipelines, BI tools, and business systems to reverse construct an enterprise data graph that captures assets, lineage, entities, metrics, policies, and relationships. On top of that graph, it enriches and curates machine-readable semantics — descriptions, popular joins, KPI and metric definitions, ontologies, and business rules — and organizes them into governed, versioned context repos: bounded bundles of context that reflect how your company defines key concepts and makes decisions. These context repos are then exposed through open interfaces (SQL, APIs, SDKs, OSI/MCP-style protocols) so that agents, copilots, and AI applications can call the same trusted context in real time, rather than each team hard-coding its own logic. Human-on-the-loop governance workflows for conflict resolution, deprecation, feedback, and certification keep that context trustworthy as the business, data, and models evolve.



## Atlan Pros & Cons
**What users like:**

- Users praise Atlan for its **user-friendly interface** , making it intuitive and easy to integrate with existing systems. (18 reviews)
- Users commend Atlan's **user-friendly interface** , facilitating seamless collaboration and intuitive navigation for diverse user needs. (12 reviews)
- Users value the **intuitive user experience** and seamless integration of Atlan, enhancing their data management capabilities. (11 reviews)
- Users appreciate the **superior data lineage feature** of Atlan, enabling seamless cataloging and integration across complex environments. (10 reviews)
- Users find Atlan's **easy setup** and integration process straightforward, enhancing accessibility for all skill levels. (10 reviews)
- Users highlight the **smooth integrations** of Atlan, enhancing accessibility and streamlining the overall experience for diverse users. (10 reviews)
- Easy Integrations (9 reviews)
- Data Cataloging (8 reviews)
- Integration Capabilities (8 reviews)
- Users praise the **super quick response/support** from the Atlan team, enhancing their overall experience significantly. (7 reviews)

**What users dislike:**

- Users find that Atlan has a **steep learning curve** due to its abundance of features and complex configurations. (5 reviews)
- Users note the **limited functionality** of Atlan, particularly in AI capabilities and integration depth, impacting overall value. (5 reviews)
- Users find **user interface issues** hinder usability, particularly for non-technical business users and governance requirements. (5 reviews)
- Users find the **difficult learning curve** of Atlan overwhelming, especially for newcomers navigating its extensive features. (4 reviews)
- Users experience **integration issues** with Teams and non-native databases, requiring extra setup and refinement for efficiency. (4 reviews)
- Users note the **lack of complete features** in Atlan, requiring additional time and resources for optimal use. (4 reviews)
- Limited Customization (4 reviews)
- UX Improvement (4 reviews)
- Complex Setup (3 reviews)
- Data Management (3 reviews)

## Atlan Reviews
  ### 1. Atlan as the ideal interactive business metric catalog product

**Rating:** 4.5/5.0 stars

**Reviewed by:** Ondřej C. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 23, 2023

**What do you like best about Atlan?**

Atlan provides not only a robust product for metadata management, but also a great customer experience in terms of both UI as well as implementation support. 
I especially liked the seamless integration with our data assets hosted in BigQuery and Looker.
Our Customer Success Manager and his team were extremely helpful during the rollout and provided various practical advice on how to engage the relevant teams in my company.

**What do you dislike about Atlan?**

As the product is complex and dynamic (improvements keep on coming), there were a few cases where it did not work perfectly. Fortunately, all operational issues were rather quickly (hours-days) resolved by the helpful support team.

**What problems is Atlan solving and how is that benefiting you?**

The main use case for us is the introduction of a single source of truth for business metric definition, including live links to our data assets (DB & BI tools) and additional information about the business metrics (ownership, description, links to other documentation etc.)

  ### 2. Next generation data cataloging, discovery and governance

**Rating:** 4.5/5.0 stars

**Reviewed by:** Vidmantė . | Mid-Market (51-1000 emp.)

**Reviewed Date:** August 24, 2023

**What do you like best about Atlan?**

Atlan's integration capabilities have impressed our data engineering team, providing a seamless setup experience.

The user experience (UI) of Atlan deserves special mention. Its intuitive interface simplifies navigation and usage, making it a powerful tool for metadata management.

Additionally, the considerable engagement demonstrated by the Atlan Account Executive and Engineer contributed to a seamless tool evaluation process. The Customer Success Management program played a crucial role in effectively planning and executing the rollout process.

**What do you dislike about Atlan?**

Depending on a company's maturity level, the multitude of features provided by Atlan can be overwhelming. While these features hold significant potential, their abundance might prove to be overpowering for new users, potentially hindering their ability to fully leverage Atlan's capabilities.

**What problems is Atlan solving and how is that benefiting you?**

Atlan helps to address a range of data management challenges:

1. Search and Discoverability: Atlan's robust features enable effortless search and discovery of data assets. This enhanced accessibility facilitates data-driven decision-making.

2. Data Lineage: Atlan's capabilities in providing data lineage offer a comprehensive view of data journeys, contributing to better understanding and analysis.

3. Ownership, Governance, and Access Management: Atlan's features ensure clear ownership and governance of data assets. 

4. Reducing Dependency on Data Personnel: By serving as a comprehensive repository of information about data assets, Atlan results in improved work efficiency and accessible data-related context.

  ### 3. Incredible tool for data-curious users

**Rating:** 5.0/5.0 stars

**Reviewed by:** Sagar S. | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 15, 2023

**What do you like best about Atlan?**

I love how easy it is to get access to find the answers I need using SQL. Before Atlan, I would have needed to jump through many loops to access our data. With Atlan, I can access all tables, which are organized and described clearly so that I can discover data efficiently. Atlan also makes crafting, saving, sharing, managing, and reusing SQL queries simple.

**What do you dislike about Atlan?**

Nothing - even when I have had issues in the past, Atlan's team would work to resolve them quickly.

**What problems is Atlan solving and how is that benefiting you?**

Atlan helps teams answer questions quickly. They provide the tools needed to get into your data and come out with a clearer understanding of what you need to be answered. They make this process as seamless as possible, ensuring the user can focus on the decisions they need to make instead of messing with data.

  ### 4. Atlan is a great tool with fantastic customer support

**Rating:** 4.5/5.0 stars

**Reviewed by:** Heidi J. | Mid-Market (51-1000 emp.)

**Reviewed Date:** May 24, 2023

**What do you like best about Atlan?**

Our data engineering team have enjoyed the ease of setup with Atlan as dbt documentation work they had already done easily surfaced to Atlan to populate the asset profile fields. Also, the asset fields automatically populated by Atlan have been very helpful in our setup process, making the information in the tool already useful for our working processes. In addition, the customer support from Atlan has been phenomenal, providing support and resources for every step of the way.

**What do you dislike about Atlan?**

We had some technical issues during our setup, but Atlan support has been quick to troubleshoot and offer solutions as we've worked through any problems that have come up.

**What problems is Atlan solving and how is that benefiting you?**

- Providing greater access to, and trust in, data at our organization
- Enabling self-serve analytics for data consumers at our organization
- Decreasing dependencies on data personnel for information about data assets
- Enabling automation around data information at our organization

  ### 5. A great product, with even better potential.

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 26, 2023

**What do you like best about Atlan?**

What I appreciate most about Atlan is its emphasis on collaboration and automation. Its ability for data discussions and annotations make it a truly collaborative platform, stimulating efficient dialogue among data teams. This increased level of collaboration often leads to enhanced data understanding and more insightful decision-making.

The platform's automation also plays a significant role in its appeal. In just a few clicks, we can automate repetitive tasks, allowing us to focus our time and energy on providing insights rather than wrestling with tedious data management tasks.

Combined with its robust data governance capabilities and comprehensive audit trails, Atlan simplifies data oversight and assists in staying compliant with data protection regulations. Overall, Atlan's dedication to fostering an easy, collaborative, and compliant data environment is what I find most compelling.

**What do you dislike about Atlan?**

Despite its myriad of features, Atlan has one significant setback that can affect new users most: its onboarding process. Getting up to speed with Atlan's tools and functionalities can be quite challenging due to the steep initial learning curve. This might be attributed to its wealth of features and capabilities which, while beneficial in the long run, can overwhelm users.

**What problems is Atlan solving and how is that benefiting you?**

Atlan has been instrumental in addressing several critical data management issues in our workflow. To begin with, as an organization with colossal volumes of data to work with, finding the right data when needed used to be like looking for a needle in a haystack. Thanks to Atlan's data catalog and discovery capabilities, we've managed to centralize our data resources, making it much easier to access and discover the right data when we need it.

When it comes to team collaboration, Atlan has been great. Before using Atlan, collaboration on data projects used to be complicated, lengthy, and prone to miscommunication. With Atlan's rich-sharing and collaborative features, all members of the team can collaborate on shared data assets, add their input, and make decisions collectively in real-time, leading to more cohesive collaboration and decision-making.

Data governance and compliance is another critical area where Atlan has proven invaluable. Atlan's automated compliance checks and comprehensive audit trails have made maintaining compliance a much more effortless process. This feature not only minimizes risks but also offers peace of mind, knowing that we are handling data ethically and responsibly.

In essence, Atlan has played a pivotal role in streamlining our data processes, promoting data democratization, ensuring compliance, and fostering better collaboration within our data teams.

  ### 6. Catalysts for metadata evangelism

**Rating:** 5.0/5.0 stars

**Reviewed by:** Abhilash A. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2023

**What do you like best about Atlan?**

Product value proposition in its extensibility to meet our evolving metadata ingestion, enrichment, and publishing requirements with relatively short time, is appealing. 

Working with results oriented, adaptable customer success team is a fantastic experience. They are enthusiastic advocates and experts who recognize the benefits of metadata in data governance, data integration, data quality, and overall data management.

**What do you dislike about Atlan?**

Some users reported page loading, quality of search results issues that have been surfaced to Atlan team. 

For Platform adminitrators of  a multitenant data platform, ability to create admin of admin role, and ability to preview assuming roles are sorely missed.

**What problems is Atlan solving and how is that benefiting you?**

Integrating data discovery capability with associated platform capabilities for Data Quality, Metadata Capture, User Access among others.

  ### 7. Streamline the Metadata Management: Unlocking Efficiency and Accuracy

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jasmine S. | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 15, 2023

**What do you like best about Atlan?**

I'm responsible for building up the glossary in Atlan - the reason why we believe Atlan is a user-friendly and collaborative metadata management platform and is the perfect fit for building up our glossaries are below:

1. Definitive definitions: 1) The glossary allows users to define and document business terms and metrics, providing clear and consistent definitions to ensure a shared understanding. 2) The glossary provides contextual information, including synonyms, abbreviations, acronyms, and related terms. 3) Terms and metrics can be categorized and organized in a hierarchical structure, facilitating easy navigation and browsing based on domains, topics, or functional areas.
2. Search and Discovery: The glossary offers powerful search capabilities, enabling users to quickly find specific metrics or related information. Users can search by keyword, browse categories, ownership, or apply filters to refine their search results.
3. Data Lineage and Impact Analysis: The glossary is integrated with data lineage and impact analysis features. Users can understand how terms are used within reports, dashboards and other data assets, and trace their impact across the data ecosystem.
4. Collaboration and Annotation: Users can collaborate by adding comments, annotations, or additional context to term definitions. This encourages knowledge sharing, discussions, and alignment on the understanding of terms.

**What do you dislike about Atlan?**

1) Pricing: Atlan's pricing structure may not be suitable for low budget companies, especially for small organizations or startups with limited resources. Will enterprise pricing plan in the pipeline?
2) Learning Curve: It might take some time for users to become proficient in navigating and utilizing all the functionalities effectively.

**What problems is Atlan solving and how is that benefiting you?**

During our implementation of the Notion glossary, we gained valuable insights and underwent a significant learning experience. However, we encountered a set of challenges that have led us to make the decision of transitioning to a more suitable tool capable of effectively serving the entire organization. Below are the key learnings we derived from this process:

1. Inadequate understanding and communication 

In many cases, there is a lack of sufficient understanding regarding critical topics, particularly when it involves metrics that are defined differently across various teams. Let's consider the example of DIFM. Due to breakdowns in communication, aligning the calculations for different perspectives of net revenue took considerable time and effort.

1. Operational complexity

Given the unique nature of our business, certain metrics can be challenging to grasp, such as revenue recognition at different points in time. Additionally, there may be high entry barriers for one department to understand the metrics used by another department. Moreover, when our business model undergoes changes, there tends to be a multitude of news and updates that colleagues outside the core team or channel might not be aware of, resulting in a lack of context.

1. Lack of ownership 

Colleagues often express a desire to learn more about specific metrics, but struggle to identify the appropriate team or location to access the relevant information. Complicating matters further, the search experience in Notion is suboptimal. For instance, when using a table (database), users are required to load the entire table to perform a search or add filters to narrow down their search. This limits the efficiency and ease of finding the desired metrics and related information.

  ### 8. Super Helpful for a Mobile Gaming Company That Collects TONS of Data!

**Rating:** 5.0/5.0 stars

**Reviewed by:** Rachel A. | Lead Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** March 29, 2023

**What do you like best about Atlan?**

As a mobile gaming company, we collect TONS of data. We were mainly attracted to Atlan because we needed a "source of truth" for all our data sources and a data lineage tool. Atlan has made it easy to document our rapidly growing database and reports, as well as visualize how each asset connects. Atlan has also made it possible for our non-analytical teams to search for Tableau reports and query our database without SQL coding skills.

We especially love how easy it was to get Atlan up and running. It integrated with all our existing tools (Slack, Jira, Tableau, Snowflake, etc.), and the Atlan team has been with us at every step. The customer service has been phenomenal -- even post-set-up. Shoutout to Steven for creating personalized tutorial videos for us! Thank you!

**What do you dislike about Atlan?**

Just a few bugs here and there, but Atlan's support team has been extremely responsive and helpful!

**What problems is Atlan solving and how is that benefiting you?**

Data governance, data lineage, documentation. Atlan has saved our analytics team so much time and energy by acting as a "source of truth"! We're able to focus on our own tasks rather than performing simple queries for other teams.

  ### 9. Collaborative Metadata Management with Atlan and dbt: My Experience as a Data Engineer

**Rating:** 5.0/5.0 stars

**Reviewed by:** Fadith E. | Mid-Market (51-1000 emp.)

**Reviewed Date:** March 24, 2023

**What do you like best about Atlan?**

As a data engineer, I've been particularly impressed by Atlan's ability to easily integrate metadata generated by dbt and custom metadata. The integration with GitHub has also been beneficial, allowing for seamless collaboration between team members on data projects. I've found that the visual representation of lineage has been precious in understanding how data flows through the system, and seeing the complete lineage at a glance is a significant time-saver. Additionally, I've had a very positive experience with the integration between Atlan and dbt, which has been reliable and straightforward to use. Overall, Atlan has made collaborative metadata management a breeze, and I would highly recommend it to other data engineers looking to streamline their data management processes.

**What do you dislike about Atlan?**

One area that could be improved with Atlan is the website speed. Unfortunately, I've found that the majority of the time, the website is quite slow. This can be frustrating when trying to complete tasks efficiently, and I hope that Atlan can address this issue in the future to improve the user experience.

**What problems is Atlan solving and how is that benefiting you?**

Atlan has been a tremendous asset in my work as a data engineer, providing several key benefits that have helped streamline my workflow. One of the most significant advantages of using Atlan is that it makes it much easier to share information about the tables generated with anyone, even those who may not have a deep understanding of data structures. Additionally, the custom metadata feature has been invaluable in showcasing when tables are updated and the frequency of these updates. Finally, being able to quickly identify the resources affected in any workflow has saved me significant time and effort when troubleshooting. Overall, Atlan's collaborative metadata management has made my work more efficient and effective, allowing me to focus on other important tasks.

  ### 10. Great experience! The simplicity allows for a great user experience.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Cesar  C. | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 10, 2023

**What do you like best about Atlan?**

The search option for looking up data sources/fields is beneficial. I believe this is the most used resource due to the data in our databases. The ability to add definitions to the fields ensures the correct data source is selected.

**What do you dislike about Atlan?**

Atlan has a lot to offer, but knowing what all Atlan can be used for is challenging.

**What problems is Atlan solving and how is that benefiting you?**

Atlan solves the issues of locating data tables and fields. The search ability helps users find the proper data source to complete their job functions without depending on a specific team to point them to the correct source.

  ### 11. Best modern data catalog tool and home to data teams

**Rating:** 5.0/5.0 stars

**Reviewed by:** Larisa G. | Mid-Market (51-1000 emp.)

**Reviewed Date:** March 20, 2023

**What do you like best about Atlan?**

Atlan was created by data engineers for data engineers. Utilizing Atlan's integration with Reshift, Aurora and Tableau provided us with rich data and metadata insight, allowed for a super fast impact analysis using lineage, and eliminated the need to document data changes manually.  Atlan allowed us to create a centralized place for business analysts to find information about company data, definitions and metrics, glossary, and project documentation. The interface is simple and very intuitive, so minimal training is required. Atlan is excellent as an onboarding tool for business and data people alike. Their APIs are easy to use and well-documented, and Google-like search makes finding data assets easy.  All these features provided immense value to our users. Overall, Atlan has drastically reduced our workload in organizing data and metadata as a single source of truth. And lastly (and most importantly), Atlan has outstanding customer service; it has been with us every step of the way during the initial implementation and continues to support us with adopting the tool. They listen to their customers and address any issues very quickly.

**What do you dislike about Atlan?**

There is nothing to dislike about Atlan, as the business specifics drive some of our challenges.

**What problems is Atlan solving and how is that benefiting you?**

Atlan helped us democratize our data. The data team receives many requests from business teams across the organization. Atlan helped us put the data in their hands, enabling them to be independent.
Atlan also became a true home for the data team, increasing our productivity by reducing the time needed for impact analysis, training and onboarding

  ### 12. Metadata Management

**Rating:** 5.0/5.0 stars

**Reviewed by:** Brian T. | Enterprise (> 1000 emp.)

**Reviewed Date:** March 17, 2023

**What do you like best about Atlan?**

Atlan reduces the time developers spend understanding context of their data assets. It gives data producers a platform to document and a place for consumers to learn and understand data. The platform is intuitive and integrates with our existing application ecosystem.

**What do you dislike about Atlan?**

There is nothing I dislike about Atlan. One downside of the product is switching from your data model, database, or BI layer to the Atlan UI to get more information about the data. Having Atlan embedded within the BI layer would be helpful and is already being worked on/available.

**What problems is Atlan solving and how is that benefiting you?**

- Reduces time developers spend understanding context of data - this allows us to generate more meaningful ETL more quickly and allows us to have a better handle of our data assets
- Allows consumers to get closer to the data and understand it more easily with data definitions, query preview, glossaries, etc - this allows requirements to be more specific

  ### 13. Lot's of fun!

**Rating:** 5.0/5.0 stars

**Reviewed by:** Katarzyna B. | Mid-Market (51-1000 emp.)

**Reviewed Date:** March 01, 2023

**What do you like best about Atlan?**

Desired functionalities are working as we expected
The tool is very intuitive and simple to use
All of our data tech could be integrated (S3, Tableau, Redshift, Snowflake, BigQuery)
Very good support from the Atlan team in the onboarding and also AFTER!
Reasonable cost

**What do you dislike about Atlan?**

Nothing so far. Some simple issues with some special chars in usernames keep coming back, but this is a very tiny issue. Apart from that, the tool is serving it's purpose ;-)

**What problems is Atlan solving and how is that benefiting you?**

Metadata of all of our data assets in one place (S3, Tableau, Redshift, Snowflake, BigQuery)
Making our data assets discoverable (simple and broad search capabilities — to be able to find relevant data quickly across all of our assets, along with their context)
Enable collaboration and trust (gather tribal knowledge of various teams in one place)
Reduce dependencies between business, analysts, and engineers (giving everyone easy access to documentation and the ability to find data-related answers on their own)
Ability to show where the data comes from (visual lineage of dependencies between the data objects and how the data flows throughout the organization)

  ### 14. Review from Tokyo Electron Limited - Leah QI

**Rating:** 5.0/5.0 stars

**Reviewed by:** Leah Q. | Enterprise (> 1000 emp.)

**Reviewed Date:** March 14, 2023

**What do you like best about Atlan?**

My primary contact Geoff Warren, I love his working ethic and his passion for Atlan; you can hear it through his voice.  The stuff I love about Atlan is you can take it anywhere, whether during the requirement gathering section or after completing a BI product and wanting to show End User(s) what they are; it is super interactive.

**What do you dislike about Atlan?**

The Glossary & Assets, I see them overlapping each other.  Maybe we need to develop a Metric section rather than Glossary Page.   This Metric section is just focusing on collecting metrics.   How I look at it,

1. Raw Data -> Data Models -> Calculated Fields -> Measures (Assets)
2. Metrics/KPIs

**What problems is Atlan solving and how is that benefiting you?**

1. Atlan allows me to update and maintain live documentation as quickly as possible, so I don't have to develop detailed static documentation in  .pdf format each time I push out data models in snowflake. 
2. I can see table ERDs/Lineage between tables, which is a massive helper as I develop data models in Snowflake. 
3. Atlan provides a place of comfort for my end user(s), they can trace my work and able to identify which feature within the data model is verified and which one is not.

  ### 15. Review Update After 2 yrs

**Rating:** 5.0/5.0 stars

**Reviewed by:** Fausto H. | Principal Data Architect, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 07, 2021

**What do you like best about Atlan?**

This tool went from "sweet spot of value proposition and very competitive with awesome customer experience"  to
"This is hands down the best solution for data governance".

In the last two years, I've seen so much growth with constantly new and useful functionality that now my actual view of the tool changed, to me this tool is a "must-have" for a successful data warehouse, it not only helps to solve the data governance challenge but also servers other painpoints, a simple example is the lineage, for my use case it is so well built that I can drastically reduce time for doing impact analysis before changing any DB objects. 
I could give a lot more examples but the most remarkable fact to me is that they never lost their track, with the glossary of terms, approval system, navigation experience and linked resources, they really nailed the solution for the classic data governance any Data Warehouse has these days and on top of that they never lost impeccable customer support.

**What do you dislike about Atlan?**

I only regret I didn't find this tool before.

**What problems is Atlan solving and how is that benefiting you?**

This software nails data governance and can do lineage from Tableau to your Data Warehouse and if you are on ELT, it does crawl solutions like Fivetran so now you can have FULL lineage to your very source tables from your OLTP DB. We are pretty happy with the results because the features offered not only addressed our primary needs, you can use it for many other things, the user experience is awesome, and the customer service is outstanding.

  ### 16. Give your data governance initiative a jump start with Atlan!

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.)

**Reviewed Date:** September 05, 2023

**What do you like best about Atlan?**

1. Rich data lineage with easy setup and readability
2. Automation capabilities to propagate data tags are user intuitive and easy to configure
3. User interface is consistent and easy to navigate

**What do you dislike about Atlan?**

1. Submitting issues and enhancements is easy but often results in limited insight into the path to resolution from the support team
2. Out of the box reporting capabilities exist but have a significant opportunity for improvement
3. Data profiling feature as it is provides little to no value and would be extremely beneficial if customer feedback was incorporated into the offering

**What problems is Atlan solving and how is that benefiting you?**

Altan is helping us solve the need for a scablable platform that enables active data governance and supports our data stewards. The concept of playbooks is fantastic and allows you to classify your data assets through automation at scale.

  ### 17. A partner we can trust to reduce friction points between data consumers and producers

**Rating:** 4.0/5.0 stars

**Reviewed by:** Michael W. | Enterprise (> 1000 emp.)

**Reviewed Date:** March 17, 2023

**What do you like best about Atlan?**

Atlan is easy to get up and connected to several critical sources right out of the gate. In addition, we have found the usability of the frontend 2nd to none as several users have had no issues getting into the tool and finding value.

**What do you dislike about Atlan?**

Currently Atlan does not integrate with some of the tool we require such at Quicksight but we know they are working towards resolving this. In addition, as there are multiple ways to accomplish the same thing it is not always clear which is the best practice so having a bit more clarity on things like that would be great

**What problems is Atlan solving and how is that benefiting you?**

Our biggest challenge is providing our data consumers with good contextual information about the data available to them. Beyond that, having a place our end users can easily build, execute, and share their own queries is proving powerful.

  ### 18. Easy to setup, intuitive UI and very helpful support

**Rating:** 5.0/5.0 stars

**Reviewed by:** Hendrik B. | Enterprise (> 1000 emp.)

**Reviewed Date:** February 22, 2023

**What do you like best about Atlan?**

When working with Atlan, I really liked how easy it was to set up, integrating seamlessly with our modern data stack. Their support has been great - it was very easy to get in contact with relevant people and they even helped us set us to shape our thinking around governance.

**What do you dislike about Atlan?**

It's a great product, but I'd like to see more functionality to help us prioritise our governance efforts - e.g. getting a better handle of search queries that are conducted within Atlan.

**What problems is Atlan solving and how is that benefiting you?**

- We are a financial institution, and compliance is essential for us. Atlan helps us to significantly reduce the effort needed to comply with GDPR and localisation laws
- Atlan makes it significantly easier for us to understand the lineage of dbt-tables into looker. This helps us to optimise costs as well as identify potential impact before making changes to data architecture.
- Atlan made it significantly easier for users to identify what data means in our organisation. For us, this has been especially relevant for event data sets.

  ### 19. Finally be able to answer the question "Where does this data go?"

**Rating:** 5.0/5.0 stars

**Reviewed by:** Chase G. | Enterprise (> 1000 emp.)

**Reviewed Date:** February 20, 2023

**What do you like best about Atlan?**

Atlan has unlocked visibility in to data previously unavailable to us. Through the lineage feature and plentiful integrations, we can more easily answer questions about where each dataset goes and what it's used for. Combined with the world class support that the Atlan team provides, Atlan enables us to have a better handle on the breadth of data that we have internally.

**What do you dislike about Atlan?**

As an early customer of Atlan, there were some growing pains with features that weren't fully baked yet or didn't have the bugs hammered out. As the company and product expands, I'd like to see more fully-fledged documentation that describes the full picture of the features.

**What problems is Atlan solving and how is that benefiting you?**

Previously, we had difficulty understand what data gets used where and Atlan's lineage and documentation features help analytics users understand what feeds each dataset. Before, it was a complex web of finding what report used this table, which stored procedure loads it, and when the table was last updated. Atlan's integration with dbt and Tableau means that we can spend significantly less time investigating and more time developing. Additionally, data scientists have a central repository they can use to understand what data exists in our ecosystem which reduces that number one painpoint in data science-- getting the data!

  ### 20. Atlan has been helpful and insightful as a data cataloging platform.

**Rating:** 3.5/5.0 stars

**Reviewed by:** Ruchi S. | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 17, 2023

**What do you like best about Atlan?**

I love the lineage feature of Atlan the most. Like that, the tool asks for data owners and connects with Jira and Slack to make it a seamless experience.

**What do you dislike about Atlan?**

I feel like searching terms in Altan does not give the best request. Also I found setting up personas and roles was not very easy to understand.

**What problems is Atlan solving and how is that benefiting you?**

Atlan is our central repository for data definitions and we are able to access it right into our reporting tool Looker. This is very useful and best use case for our end users.

  ### 21. Amazing Resource for Data Dictionary

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Automotive | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 12, 2023

**What do you like best about Atlan?**

Atlan has decreased the time it takes to research our internal data sources and the relationships data within our warehouses. As a data engineer, it's also alleviated our team of being the single source of knowledge for the definitions of our data.

**What do you dislike about Atlan?**

There's a query option within Atlan that I don't have much use for. The data preview is extremely useful, but any sort of query development is much better served or accomplished with another tool that we have because those other tools are more robust.

**What problems is Atlan solving and how is that benefiting you?**

When I look at data within our data warehouse, I sometimes do not know the definitions of specific metrics or the source. The data dictionary within Atlan forces us as engineers to take the design thinking we used to build pipelines, data tables, views, etc and define it for the larger organization. It also supports historical data understanding and architecture to make decisions for new products that we engineer for our stakeholders. Atlan provides the means for us to investigate, design and define the data that we are ingesting and use on a daily basis.

  ### 22. Everything you need around Data Governance

**Rating:** 5.0/5.0 stars

**Reviewed by:** Lisa S. | Manager Data Analytics, Enterprise (> 1000 emp.)

**Reviewed Date:** February 27, 2023

**What do you like best about Atlan?**

It has a lot of different features and every feature is super useful. What the greatest aspact is, is their service. They have very custom and quick support and I would definitly recommend Atlan! The masterclasses and tips & tricks are also super useful.

**What do you dislike about Atlan?**

I don't dislike anything. What could improve a bit more is the stability of new features. Since development is quite fast sometimes features could use a bit more time to test without bugs. BUT, I would rather have the new features fast (like now) then a 100% perfect :)

**What problems is Atlan solving and how is that benefiting you?**

It creates a central place to manage all of your Metadata. Atlan helps us improve Data Governance (especially with the Glossary and Lineage), increases Data Awareness and increases Data Adoption (especially with the Insights tool and the option to add owners to assets).

  ### 23. Active metadata for active data practitioners

**Rating:** 4.5/5.0 stars

**Reviewed by:** Emily L. | Data Products Architect, Enterprise (> 1000 emp.)

**Reviewed Date:** January 17, 2023

**What do you like best about Atlan?**

One of the best things about Atlan is they have not treated us like a customer, but as a partner from the very beginning. What I mean when I say that is, they have had check-ins with us and our team, proactively seeking feedback and ways they can make improvements to better help us accomplish what is important for our team. We have never had such a positive relationship with a customer success manager as we do with Atlan from any other software before. Another great thing is its ability to seamlessly integrate into software/tools that we are already using, like Google suite, Snowflake, Fivetran, dbt, Salesforce, Jira, Slack, and Tableau... And they're constantly working on making more connections to popular tools.

**What do you dislike about Atlan?**

There was definitely some confusion for us in the beginning with the language that Atlan uses to talk about governance - purposes, policies, personas... lots of alliteration there made it easy for us to confuse how they should each be used. But the support team is VERY responsive - I mean we have a response within 15 minutes - and they are eager to help and better the experience and the product overall.

**What problems is Atlan solving and how is that benefiting you?**

We had a bit of a documentation and transparency problem with our data before Atlan. They have enabled us to build more credibility with colleagues because they are now more easily able to see where the data is coming from, how it's being defined, what queries are being used to capture certain metrics, how we're defining those metrics, and more! And, what's more, is that they're able to answer a lot of those questions on their own now!

  ### 24. Atlan has been a powerful tool for me as a Product Manager

**Rating:** 4.0/5.0 stars

**Reviewed by:** Gil D. | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 13, 2023

**What do you like best about Atlan?**

'Build query' feature is a great tool for people without expertise SQL and is also a great way to learn more about how to build SQL queries.

**What do you dislike about Atlan?**

No way to easily import csv files to include in Join functions or in build query feature.

**What problems is Atlan solving and how is that benefiting you?**

Ease of access to tables across our data lake. Ease of joining data across our data lake.

  ### 25. Atlan G2 Review

**Rating:** 4.5/5.0 stars

**Reviewed by:** Letitia S. | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 21, 2023

**What do you like best about Atlan?**

The ease of use for creating glossaries, terms, tags  & certs is awesome. It doesn't take a lot of clicks to find information and to relate data to specific topics.

**What do you dislike about Atlan?**

At the moment, the "welcome" page is not customizable. It would be great if we were able to customize this to how our company communicates

**What problems is Atlan solving and how is that benefiting you?**

We currently have information about data in several places (confluence, jira, slack, google apps, etc) by allowing the original documents to be linked from their places of origin onto the data assets; this gives freedom to continue to update the original documents but also provide a one-stop source to all related information.

  ### 26. Very supportive team, great usability, meets our needs

**Rating:** 5.0/5.0 stars

**Reviewed by:** Sara S. | Enterprise (> 1000 emp.)

**Reviewed Date:** March 17, 2023

**What do you like best about Atlan?**

The Atlan UI is easy for my new users to perform governance tasks with little training. You do not need a big team to implement and manage Atlan.
The customer success team is incredibly present and passionate about helping us meet our goals. They feel like coworkers.

**What do you dislike about Atlan?**

Migration to the upgraded version was a little bumpy, but now that we're on it, we're fine. 
I would love to be able to unnest BigQuery fields, which is on their roadmap.

**What problems is Atlan solving and how is that benefiting you?**

The business glossary and documenting BI assets are our key use cases. We are very heavy users of the glossary - it's our source of truth for enterprise definitions and SME knowledge on data assets. This saves time and ensures data consumers are getting what they think they are - a big step forwards for data literacy. We've now expanded from having a centralized team documenting BI assets to enabling all self-serve reporting creators to do so. This helps make everyone accountable for presenting data with the appropriate context.

  ### 27. Great to work with

**Rating:** 4.0/5.0 stars

**Reviewed by:** Dave L. | Enterprise (> 1000 emp.)

**Reviewed Date:** March 21, 2023

**What do you like best about Atlan?**

The Atlan team provide us with a lot of support to ensure we get the most from the tool.  It's very user friendly and highly intuitive - quick to get going with and feature packed  (that eventually we will progress to using)

**What do you dislike about Atlan?**

We have found a couple of limitations - data access controls is the biggest one that doesn't match with our companies regulations (so this is one area we aren't able to make use of)

**What problems is Atlan solving and how is that benefiting you?**

The driver to get Atlan into the enterprise was to create a data catalogue - enabling both business and IT to be aware of our data landscape and to work together to increase and share knowledge.  We are gradually moving into this space - so we haven't yet been able to fully use all the features that Atlan offers . but we are working with our 'success manager' to push us forwards.

  ### 28. Easy to use and implement

**Rating:** 4.5/5.0 stars

**Reviewed by:** Shuvam J. | Account Executive, Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2023

**What do you like best about Atlan?**

The platform is user-friendly and seamlessly integrates with our current application ecosystem. It also minimizes the amount of time our dev team needs to comprehend the context of their data resources.

**What do you dislike about Atlan?**

I think they can work on improving the website's speed but it's a super helpful tool anyway and does what it says. Nothing much to dislike about Atlan.

**What problems is Atlan solving and how is that benefiting you?**

Atlan facilitated the democratization of our data, enabling us to distribute it across the organization. Numerous requests from various business teams are received by our data team. With the aid of Atlan, we empowered them to attain data independence by granting access to the data.

  ### 29. Atlan makes us more confident with our data

**Rating:** 5.0/5.0 stars

**Reviewed by:** David M. | Mid-Market (51-1000 emp.)

**Reviewed Date:** March 16, 2023

**What do you like best about Atlan?**

Atlan helps us identify our critical data and reduce the time spent on less important topics or tasks.

**What do you dislike about Atlan?**

The more challenging part for any data catalog is democratizing its use across your organization, and, in our case, Atlan being available only in English is making this part slower.

**What problems is Atlan solving and how is that benefiting you?**

We are using Atlan to solve multiple problems.
It helps us identify all data assets across our organization, who/what generates them, who/what consumes them, etc...
It is now our source of truth regarding our business glossary and ensures we all talk the same language.
It also helps us identify "pipelines" issues/delays and informs us so we can proactively resolves them.

  ### 30. Best Data Catalog tool in the market

**Rating:** 4.5/5.0 stars

**Reviewed by:** Santhosh C. | Enterprise (> 1000 emp.)

**Reviewed Date:** February 23, 2023

**What do you like best about Atlan?**

Atlan has native integrations with Snowflake, DBT and PowerBI. Thus it is straightforward to crawl your assets. The search functionality is excellent. Their API's are easy to use and well-documented. All these features provide immense value to our users. Also, forgot to mention they have excellent customer support with a reasonable SLA.

**What do you dislike about Atlan?**

The ability to impersonate a user or a persona is missing. As an admin, it is challenging to troubleshoot access privilege issues raised by any users. Also, capability to automatically assign a default persona to new users will be handy. Also, the ability to set default connector and default environment for the connector(by the admin) in the main search page will be very useful

**What problems is Atlan solving and how is that benefiting you?**

Developers can asses impact analysis using the lineage feature. Also, troubleshooting issues is much easier now. Analysts are able to search for the assets and get the results. The analysts are able to communicate with data owners using the slack integration in Atlan. So atlan acts as one-stop store for our data questions

  ### 31. Fantastic Data Catalog for Data Operations centric organizations

**Rating:** 5.0/5.0 stars

**Reviewed by:** Simon K. | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 21, 2023

**What do you like best about Atlan?**

Atlan's ease of use and configuration certainly helped us get started quickly and make an impact to our data ops-heavy organizations.

**What do you dislike about Atlan?**

There are some minor quirks to the UI, but the support team are interested in all user feedback and have made changes quick based on our input.

**What problems is Atlan solving and how is that benefiting you?**

Centralized data discovery and governance

  ### 32. Modern data catalog that is constantly improving

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jiří K. | Enterprise (> 1000 emp.)

**Reviewed Date:** March 10, 2023

**What do you like best about Atlan?**

Constant product improvements; User friendly UI; Responsive support; Being treated as partner rather than customer; Product documentation

**What do you dislike about Atlan?**

Only minor bugs; nothing else comes to mind

**What problems is Atlan solving and how is that benefiting you?**

Discoverability: helps us quickly find the data our data users need by providing a centralized, searchable catalog with great UI.

Collaboration: enables teams to collaborate more effectively via Slack and JIRA extensions

Data Lineage: helps users understand the lineage of their data by showing how data flows through the organization and how it is transformed

Metrics glossary: helps to compile and document list of all company metrics in one place and link them to data sources

  ### 33. Nelnet: Active Metadata Solution Review

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.)

**Reviewed Date:** September 25, 2023

**What do you like best about Atlan?**

Intuituve UI, connectors align well with current data stack, and customer support engagement has been responsive and insightful. Product is well documented for our intended use.

**What do you dislike about Atlan?**

Playbook and readme template library would be an improvement.

**What problems is Atlan solving and how is that benefiting you?**

Atlan is being implemented as Nelnet’s active metadata platform to will help us maintain a more context rich line of sight into our environment, serve as both a technical and business metadata repository, and provide lineage from data source to reporting.

  ### 34. Product has been great for beginning our data governance journey

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Plastics | Enterprise (> 1000 emp.)

**Reviewed Date:** January 26, 2023

**What do you like best about Atlan?**

The first feature that pops up when using Atlan, compared to other options we tried, is the simple -yet effective- interface. At a simple glance, Atlan might seem like a simple product that doesn't have much to offer, but when you explore and use it, you realize it has many (if not all) of the features its competitors have, but they've worked hard to offer a clean and user-friendly interface.

**What do you dislike about Atlan?**

So far, the few items that were challenging for us, I shared them with the Atlan team and they're actively listening to improve their product. 
For example, the lack of integration with Microsoft Teams, and some nice options available in other reporting tools (e.g. Looker) that aren't available for Power BI reports, like report preview.

However, Atlan has been open with us in sharing some roadmap items that might be added, including some of the ones I mentioned above.

**What problems is Atlan solving and how is that benefiting you?**

Right now, documentation! Both technical and business documentation is lacking in our data & analytics environment. Atlan gives us that central place that our users can use as an entry point to our data products. 
Second, ownership. Atlan provides our users with easy-to-identify owners for all our assets, which translates into saved time for our users and our data developers.

  ### 35. Atlan is a great tool to own

**Rating:** 5.0/5.0 stars

**Reviewed by:** Eduardo F. | Mid-Market (51-1000 emp.)

**Reviewed Date:** March 02, 2023

**What do you like best about Atlan?**

The thing I like the most about Atlan is its support. The customer service is quick, helping our users whenever needed and considering our feedback to develop new features. We solved a lot of issues through the support channels. That makes the life of the tool admin really easy and the end user gets a smooth experience.

**What do you dislike about Atlan?**

Not being able to crawl Sisense Periscope is a big feature that is missing. It's unfortunate that this wasn't implemented for Atlan 2.0 as we have a lot of knowledge from our team over there.

**What problems is Atlan solving and how is that benefiting you?**

It consolidates metadata from different databases making the search for metadata much easier. It tracks ownership, it allows for highlighting table status. We also use it to consolidate KPIs and to share queries

  ### 36. Atlan is a modern data catalog that perfectly aligned with our vision of data governance

**Rating:** 5.0/5.0 stars

**Reviewed by:** Diego Manuel L. | Mid-Market (51-1000 emp.)

**Reviewed Date:** May 26, 2023

**What do you like best about Atlan?**

The product is excellent, and Atlan is always looking for improvement by hearing customer feedback.

**What do you dislike about Atlan?**

Sometimes the platform can be slow when you are navigating a lot.

**What problems is Atlan solving and how is that benefiting you?**

We use Atlan to centralize our metadata and generate context about company-relevant data assets. This allows collaboration between data consumers and data owners.

  ### 37. Active Data Catalog for the Modern Data Stack

**Rating:** 5.0/5.0 stars

**Reviewed by:** Seun O. | Data Governance Director, Mid-Market (51-1000 emp.)

**Reviewed Date:** January 06, 2023

**What do you like best about Atlan?**

The ability to utilize Atlan's integration with Snowflake and Power BI provided us with rich data and metadata insights regarding our analytical data assets (tables and views) and Power BI reports and dashboards. Atlan also provides a truly visual data lineage showing the sources, transformations, and targets of different data assets. Another distinctive area where Atlan shines is the rich search interface which aids the discovery of business glossary terms and data assets. 

The Atlan customer success is very responsive to our requests. Atlan's customer success team work in close collaboration with our internal team to remediate issues and provide us with information about new features and how to make the best use of them.

**What do you dislike about Atlan?**

Mapping business glossary terms to data assets was challenging at first. We had to work with the Atlan team to create a workaround custom solution to get this done. Atlan has recently released product updates to make this process much less arduous for our team.

**What problems is Atlan solving and how is that benefiting you?**

We use Atlan as an enabler of our data governance execution specifically around important capabilities such as a business glossary, data dictionary, data discovery, and data lineage. Pertinent to the broad adoption of these capabilities is the need for collaboration amongst teams. Team members can easily search and discover new data assets and collaborate on fixing incorrect definitions or introducing new terms.

  ### 38. Atlan has been a great asset for our data teams

**Rating:** 4.5/5.0 stars

**Reviewed by:** Jason C. | Mid-Market (51-1000 emp.)

**Reviewed Date:** May 24, 2023

**What do you like best about Atlan?**

1. Ease of use
2.  Data Lineage
3. Integrations with the products we use today

**What do you dislike about Atlan?**

Setup for on-premise data sources can be a challenge.
The classification propagation has been a challenge, but is improving.

**What problems is Atlan solving and how is that benefiting you?**

Data Discovery and democratization

  ### 39. Atlan is a useful metadata dictionary

**Rating:** 3.5/5.0 stars

**Reviewed by:** Prashasti N. | Small-Business (50 or fewer emp.)

**Reviewed Date:** March 22, 2023

**What do you like best about Atlan?**

I like the features it has w.r.t. lineage and data quality checks; as well as the integration with dbt. I love the responsiveness of the team.

**What do you dislike about Atlan?**

The separate UI becomes unmanageable over time unless governance standards are not imposed, and it is a bit disconnected from the data production cycle because it is away from the code.

**What problems is Atlan solving and how is that benefiting you?**

Atlan is solving issues with metadata management, data quality and discoverability.

  ### 40. The Data Catalog of the people

**Rating:** 5.0/5.0 stars

**Reviewed by:** Juan Sebastian G. | Data Engineering Manager, Mid-Market (51-1000 emp.)

**Reviewed Date:** January 23, 2023

**What do you like best about Atlan?**

Atlan is constantly making sure how they would be able to generate value with our metadata. In other words, they listen to their users.

**What do you dislike about Atlan?**

There are improvements to perform on their insights section because UX is different when using Bigquery UI, and users wouldn't be used to the switch. But as the "Insights" section is an optional feature, it won't affect the primary purpose of Atlan. (Data Discovery, Data Lineage)

**What problems is Atlan solving and how is that benefiting you?**

Since Atlan arrived at our company, we have been able to have a unique source of truth regarding business definitions and data discovery.

  ### 41. Perfect metadata platform for all your data cataloging needs

**Rating:** 5.0/5.0 stars

**Reviewed by:** Arpit A. | Business Analytics Analyst, Enterprise (> 1000 emp.)

**Reviewed Date:** March 20, 2023

**What do you like best about Atlan?**

We have a complex architecture, and Atlan team has been a support for us throughout. It makes interacting with data metadata relatively simple for all the teams. The search engine that allows users to find any asset within seconds is very beneficial.

**What do you dislike about Atlan?**

Nothing specific to dislike, some integrations like MS Teams, Service Now, can be further beneficial as it can add value to the overall product, but the team has been very positive about this feedback.

**What problems is Atlan solving and how is that benefiting you?**

Its helping in connecting different teams together on a single platform. The platform is also helping in ensuring that metadata is freely accessible and not in silos.

  ### 42. Data Catalog

**Rating:** 5.0/5.0 stars

**Reviewed by:** Kateryna D. | Mid-Market (51-1000 emp.)

**Reviewed Date:** March 21, 2023

**What do you like best about Atlan?**

Finally, we can store together the definitions of business terms and the way of calculating them.

**What do you dislike about Atlan?**

I do not see any downsides. It may require additional work to organize your projects, but this worse your efforts.

**What problems is Atlan solving and how is that benefiting you?**

Atlan helps to understand our data and business metrics. We keep business terms definitions along with data and rules (SQL)  how to calculate them.

  ### 43. promising product with dedicated team continuously iterating

**Rating:** 5.0/5.0 stars

**Reviewed by:** Yong L. | Director, Lead Data Platform Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** March 24, 2023

**What do you like best about Atlan?**

1. the team is devoted to helping customers, from feature implementation to customer support.

**What do you dislike about Atlan?**

I left my previous job 9 months ago, where I was using atlan. at that time, I felt atlan is still a new product with areas to mature and new features to implement to be more widely adopted.

**What problems is Atlan solving and how is that benefiting you?**

1. the initial problem we leveraged Atlan to solve is data lineage, especially the GUI part, rendering with collapsable nodes. Once we deployed it,  we found we can use Atlan to do metadata management / data governance so our scope expanded

  ### 44. Data Cataloging and discoverability made easier

**Rating:** 4.0/5.0 stars

**Reviewed by:** Megha J. | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 19, 2023

**What do you like best about Atlan?**

Indepth Lineage and Chrome Extension for Lookerare key to data discoverability for our huge data pipelines

**What do you dislike about Atlan?**

Search doesnot let me lookup an asset which should include the combination of data points I am looking at.

**What problems is Atlan solving and how is that benefiting you?**

one place data dictionary and cataloging for all my assets

  ### 45. Atlan was very involved in our implementation & continues to support adoption of the tool

**Rating:** 5.0/5.0 stars

**Reviewed by:** Gemma D. | Enterprise (> 1000 emp.)

**Reviewed Date:** March 14, 2023

**What do you like best about Atlan?**

They are different from other vendors who are mainly interested in the sale. Atlan has been with us every step of the way during the initial implementation & continues to proactively support us with adoption of the tool as well.

**What do you dislike about Atlan?**

Atlan is still building out some of the capabilities that tools that have been around for a long time already have, but they are ready to take on our inputs & prioritise our needs.

**What problems is Atlan solving and how is that benefiting you?**

Knowing where the data is located, who owns & uses it, know its meaning & its classification

  ### 46. Using Atlan as a tool for our data governance program has been easy and positive.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Rhonda B. | Mid-Market (51-1000 emp.)

**Reviewed Date:** February 16, 2023

**What do you like best about Atlan?**

We like the google chrome extention, playbooks, and the trident suggestions.

**What do you dislike about Atlan?**

We have not identified anything at this time.

**What problems is Atlan solving and how is that benefiting you?**

Atlan has assisted in helping to build a solid bedrock for defining assets, validating the source, accuracy and integrity of those assets.  The analysis we are in the process of has allowed us to identify and correct errors in reports actively used by the business.

  ### 47. Sharethrough Atlan Review

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Marketing and Advertising | Mid-Market (51-1000 emp.)

**Reviewed Date:** March 24, 2023

**What do you like best about Atlan?**

The lineage feature has been beneficial for my team members and me. I think this is Atlan's main selling point as a tool for us.

**What do you dislike about Atlan?**

Inability to integrate Atlan with company lines of communications. I feel like the Slack integration is not developed enough;  I feel the same way about the JIRA integration.

**What problems is Atlan solving and how is that benefiting you?**

Atlan is helping to increase our work velocity. It's now been integrated into our workflow. We can quickly determine upstream and downstream dependencies with the tool.

  ### 48. Amazing Product with Better Support

**Rating:** 5.0/5.0 stars

**Reviewed by:** Steven H. | Senior Systems Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 10, 2022

**What do you like best about Atlan?**

The product itself is very intuitive.  At the beginning of our implementation, we were easily able to begin on our own with minimal help from the support team as the integrations that are pre-built and the workflow connectors worked fantastic for our tech stack, so getting assets into our system was simple and fast. The actual application itself is extremely user-friendly once you understand the base terminology and their self-help guides are phenomenal, especially when it comes to API work. The application allows for easy creation of new custom Meta-Data, which is something we desperately needed and has been such an immense benefit for truly putting our company terminology and end-user needs into the product, making it truly relevant in the ways that we need for our data. The ability to have both direct integrations to Jira (which we utilize the Jira Service Desk for our IT service desk tickets) and the ability to add Confluence resources to Assets allow Atlan to fully integrate into our infrastructure. 
Most of all, however, is the overall support that Atlan has given us. Whether it be through a great sales process, fantastic engagement during initial application creation/integration to our Assets, or now fully supporting us with any questions, however large or small, is the best we have had with any software vendor.

**What do you dislike about Atlan?**

We are currently going through an architecture conversion and while the integrations with some of the newer cloud technologies are great, some of the older tech stack components do not have all the bells and whistles (for example the MySQL Aurora Connector doesn't have native lineage for Procedures). Additionally, there are some limitations to the bulk upload and what may be updated, but support has been a great workaround for when these come up.

**What problems is Atlan solving and how is that benefiting you?**

Currently, we have a real lack of Business Users and IT having common terminology for Metrics or Terms that are related to Data. Atlan is allowing us to standardize these, which in turn will immensely alleviate our support when it comes to Data/Report requests as these misunderstandings consistently cause issues with intent vs. what is delivered. We have also been looking for a solution for truly understanding our data, where it comes from, how it is transformed, and where it is being delivered. The multiple integrations from S3 buckets to Redshift, this is allowing us to visualize and understand this.

  ### 49. improvements in our data governance solutions

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** May 23, 2023

**What do you like best about Atlan?**

post-sale follow-up and features like access control, search engine, and lineage

**What do you dislike about Atlan?**

some pending integrations like airflow or bug detections,

**What problems is Atlan solving and how is that benefiting you?**

build data products with more trust and improve the search time of a data asset

  ### 50. Great enrichment tool

**Rating:** 4.5/5.0 stars

**Reviewed by:** Jay S. | Mid-Market (51-1000 emp.)

**Reviewed Date:** May 23, 2023

**What do you like best about Atlan?**

Tracking lineage down to the column level and the automatic enrichment capabilities of the Playbooks feature and/or API

**What do you dislike about Atlan?**

I wish there was an easier way to track and debug the progress of the workflows.

**What problems is Atlan solving and how is that benefiting you?**

Atlan is helping us democratize and enrich our metadata.



- [View Atlan pricing details and edition comparison](https://www.g2.com/products/atlan/reviews?page=2&section=pricing&secure%5Bexpires_at%5D=2026-05-14+16%3A31%3A55+-0500&secure%5Bsession_id%5D=4fbd7190-a13d-4ee6-bec8-76327d611738&secure%5Btoken%5D=beac482127626500b72075f72dbb58185cb627b21a495c15ba2b81f19ab5f5c6&format=llm_user)
## Atlan Integrations
  - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews)
  - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews)
  - [Databricks](https://www.g2.com/products/databricks/reviews)
  - [dbt](https://www.g2.com/products/dbt/reviews)
  - [Fivetran](https://www.g2.com/products/fivetran/reviews)
  - [Immuta](https://www.g2.com/products/immuta/reviews)
  - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews)
  - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [Tableau](https://www.g2.com/products/tableau/reviews)

## Atlan Features
**Data Governance**
- User Access Management
- Dynamic Data Masking
- Data Lineage

**Administration**
- Data Modelling
- Recommendations
- Workflow Management
- Dashboards and Visualizations

**Data Management**
- Data Integration
- Data Discovery
- Multi - Platform
- Metadata

**Management**
- Business Glossary
- Data Discovery
- Data Profililng
- Reporting and Visualization
- Data Lineage

**Data Management**
- Data Integration
- Metadata
- Self-service
- Automated workflows

**Data management**
- Metadata Management
- Automation Features
- Collaboration
- Data Lineage
- Data Discovery

**Agentic AI - DataOps Platforms**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Decision Making

**Data Preparation**
- Search
- Data Quality and Cleansing
- Data Transformation
- Data Modeling

**Compliance**
- Sensitive Data Compliance
- Training and Guidelines
- Policy Enforcement
- Compliance Monitoring

**Analytics**
- Data Analytics

**Security**
- Access Control
- Roles Management
- Compliance Management

**Analytics**
- Analytics capabilities
- Dasboard visualizations

**Reporting**
- Intelligent Insights
- Actionable Insights
- Dashboards

**Collaboration**
- Commenting
- Profiling and Classification
- Business and Data Glossary
- Metadata Management 

**Data Quality**
- Data Preparation
- Data Distribution
- Data Unification

**Security**
- Compliance
- Governance
- Data Protection

**Maintainence**
- Data Quality Management
- Policy Management

**Monitoring and Management**
- Data Observability
- Testing capabilities

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Functionality**
- Identification
- Correction
- Normalization
- Preventative Cleaning
- Data Matching

**Cloud Deployment**
- Hybrid cloud support
- Cloud migration capabilities

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Management**
- Reporting
- Automation
- Quality Audits
- Dashboard
- Governance

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Agentic AI - Data Governance**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Decision Making

**Agentic AI - Data Fabric**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Decision Making

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Agentic AI - Machine Learning Data Catalog**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Decision Making

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