Best Enterprise Data Quality Tools

How Many Data Quality Tools Products Does G2 Track?

Total Products under this Category: 283

Category Stats (Sep 2026)

  • Average Rating: 4.48/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: snapAddy (+0.84%) - Among all products in this category, snapAddy recorded the largest rating increase compared to last month

Last updated: September 15, 2026

How Does G2 Rank Data Quality Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 13,300+ Authentic Reviews
  • 283+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Data Quality Tools

G2 Grid® for Data Quality Tools plotting products by satisfaction and market presence

Highlighted products: Monte Carlo, Data Quality Navigator, D&B Connect, SAS Viya, GTM Studio - Powered by ZoomInfo, Atlan, Collibra, and Validity Engage.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-quality/grids.json?focus%5B%5D=monte-carlo&focus%5B%5D=data-quality-navigator&focus%5B%5D=d-b-connect&focus%5B%5D=sas-sas-viya&focus%5B%5D=gtm-studio-powered-by-zoominfo&focus%5B%5D=atlan&focus%5B%5D=collibra&focus%5B%5D=validity-engage&segment=enterprise)

Monte Carlo

Monte Carlo is the agent trust platform, trusted by Nasdaq, Cisco, PepsiCo, and hundreds of enterprise organizations worldwide. Founded in 2019 and backed by leading investors, Monte Carlo pioneered data observability and has expanded into the full AI reliability stack. We're consistently ranked #1 in data observability on G2 — and we're built for what comes next. As enterprises scale from dozens to thousands of AI agents across mission-critical use cases, Monte Carlo monitors, troubleshoots, and improves both those agents and the underlying data powering them. Our platform covers the full trust stack — from the data pipelines feeding agents, to the context they retrieve, the decisions they make, and the outputs they produce — across four trust dimensions: context quality, performance, behavior, and outputs. Only Monte Carlo closes the full trust loop across both data and AI, and we meet enterprises wherever they are on the spectrum from human-guided oversight to fully autonomous operations. With 100+ integrations across Snowflake, Databricks, and the rest of your stack, you get full coverage without ripping anything out. Traditional monitoring tools stop at the pipeline or cover only one dimension of reliability — leaving teams to manually investigate, diagnose, and fix failures across disconnected tools. Monte Carlo closes that gap. Teams using Monte Carlo dramatically reduce time to detect and resolve data and AI incidents, scale monitoring coverage without scaling headcount, and build the internal trust that turns AI investments into real business outcomes. If your organization is serious enough about AI to put it in front of customers, executives, and critical decisions — Monte Carlo is the foundation it needs.

Average Rating: 4.3/5.0

Total Reviews: 544

How Do G2 Users Rate Monte Carlo?

  • Quality of Support: 9.0/10 (Category avg: 8.8/10)
  • Automation: 7.5/10 (Category avg: 8.7/10)
  • Identification: 8.1/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 6.1/10 (Category avg: 8.5/10)

Who Is the Company Behind Monte Carlo?

  • Seller: Monte Carlo
  • Company Website:
  • Year Founded: 2019
  • HQ Location: San Francisco, US
  • Twitter: @montecarlo_ai
    1,576 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    550 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Senior Data Engineer
  • Top Industries: Financial Services, Computer Software
  • Company Size: 50% Large, 41% Medium

What Do G2 Reviewers Say About Monte Carlo?

AI-generated summary from verified user reviews

Pros
  • Users value the intuitive interface of Monte Carlo, finding it easy to navigate and utilize effectively.
  • Users appreciate the custom alerts and integration with Teams, enhancing data monitoring and stakeholder communication efficiently.
  • Users value the effective monitoring of Monte Carlo, catching data issues early and enhancing stakeholder communication.
  • Users value the custom alerting features in Monte Carlo for efficiently monitoring and notifying stakeholders about data issues.
  • Users value the ease of setting up alerts and anomaly detection in Monte Carlo for monitoring data quality.
Cons
  • Users find the lack of manual threshold settings for alerts limiting, impacting customization for their specific needs.
  • Users experience alert overload due to noisy initial settings, prompting the need for sensitivity adjustments and muted alerts.
  • Users find the inefficient alert system problematic, with issues in notification messages and usability improvements needed.
  • Users find the UX improvement necessary due to slow performance and disorganized features leading to confusion.
  • Users find limited functionality in Monte Carlo, especially regarding custom metrics and alert threshold settings.

What Are Recent G2 Reviews of Monte Carlo?

What Are G2 Users Discussing About Monte Carlo?

Data Quality Navigator

Data Quality Navigator (DQN) is a business-driven, end-to-end data quality platform that enables organizations to understand, improve, and continuously manage data quality in a measurable and scalable way. It moves data quality away from purely technical responsibility and enables business users to take ownership working with intuitive processes that reflect real operational needs. DQN comes with 2,500+ pre-built rules based on real business issues, so organizations don’t have to start from scratch. Instead, they can focus directly on the most critical problems and see measurable improvements within weeks. This fast, impact-focused approach helps stabilize operations early, avoid risks such as failed migrations or production delays, and build continuous improvement over time. Key Functionalities → Data Integration (Seamlessly connect and synchronize data across systems) → Data Profiling & Assessment (Understand data quality and structure) → Data Validation (Choose from over 2,500 predefined validation rules or create your own) → Data Harmonization & Deduplication (Create unified and consistent records) → Data Cleansing (Resolve errors and improve data reliability) → Data Enrichment (Enhance data with additional business context) → Automated Data Quality (Use AI-powered agents to identify, cleanse, enrich, harmonize, and optimize data at scale) → Data Migration (Prepare, map, and validate data for target systems) → Data Governance (Ensure ownership, control, and sustainable quality)

Average Rating: 4.7/5.0

Total Reviews: 23

How Do G2 Users Rate Data Quality Navigator?

  • Quality of Support: 9.6/10 (Category avg: 8.8/10)
  • Automation: 9.3/10 (Category avg: 8.7/10)
  • Identification: 9.6/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Data Quality Navigator?

  • Seller: BearingPoint
  • Company Website:
  • Year Founded: 2002
  • HQ Location: Amsterdam, North Holland, Netherlands
  • Twitter: @BearingPoint
    7,317 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    10,087 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 56% Large, 24% Small

What Are Recent G2 Reviews of Data Quality Navigator?

D&B Connect

D&B Connect (the next generation of D&B Optimizer) is an AI-driven Data Management Platform based on the D&B Cloud that provides businesses with customer data and market insights. With D&B Connect, users can collaborate on data management tasks, visualize, monitor, and benchmark data, as well as assess overall data health. Integrations with Master Data Management Platforms, Customer Data Platforms, and CRMs enable automated data updates and anomaly detection through the identity resolution engine. MAP integrations allow for the automation of cross-channel marketing tasks on social media, email, and websites.

Average Rating: 4.1/5.0

Total Reviews: 131

How Do G2 Users Rate D&B Connect?

  • Quality of Support: 8.5/10 (Category avg: 8.8/10)
  • Automation: 8.1/10 (Category avg: 8.7/10)
  • Identification: 8.1/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.1/10 (Category avg: 8.5/10)

Who Is the Company Behind D&B Connect?

  • Seller: Dun & Bradstreet
  • Company Website:
  • HQ Location: Short Hills, NJ
  • Twitter: @DunBradstreet
    22,541 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5,735 employees on LinkedIn®
  • Ownership: NYSE: DNB

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Medium, 31% Small

What Do G2 Reviewers Say About D&B Connect?

AI-generated summary from verified user reviews

Pros
  • Users find D&B Connect to be very easy to use, maximizing efficiency in data qualification and marketing research.
  • Users value the data accuracy of D&B Connect, enhancing their data quality efforts and supporting company growth.
  • Users value the comprehensive data quality features of D&B Connect, enhancing their data management efforts significantly.
  • Users value the accuracy of D&B Connect, enhancing credibility and supporting precise risk assessments in business operations.
  • Users value the comprehensive B2B data coverage of D&B Connect, enhancing their data management and insights collection.
Cons
  • Users find limited functionality in D&B Connect, struggling with credit tracking, contact matching, and data input controls.
  • Users report a challenging learning curve with D&B Connect, indicating the need for additional training to use effectively.
  • Users feel that D&B Connect is expensive, primarily benefiting larger enterprises while posing challenges for smaller businesses.
  • Users find limited functionality in D&B Connect, struggling with account creation and tracking of contact information.
  • Users are frustrated by the outdated data that delays updates and limits access to essential firmographic fields.

What Are Recent G2 Reviews of D&B Connect?

What Are G2 Users Discussing About D&B Connect?

SAS Viya

SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control.

Average Rating: 4.3/5.0

Total Reviews: 775

How Do G2 Users Rate SAS Viya?

  • Quality of Support: 8.4/10 (Category avg: 8.8/10)
  • Automation: 9.0/10 (Category avg: 8.7/10)
  • Identification: 8.7/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.8/10 (Category avg: 8.5/10)

Who Is the Company Behind SAS Viya?

  • Seller: SAS Institute Inc.
  • Company Website:
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Student, Biostatistician
  • Top Industries: Pharmaceuticals, Banking
  • Company Size: 33% Small, 33% Large

What Do G2 Reviewers Say About SAS Viya?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in SAS Viya, enhancing data visualization and decision-making for businesses.
  • Users appreciate the advanced analytical capabilities of SAS Viya, making data analysis and decision-making more efficient.
  • Users value the sophisticated analytical capabilities of SAS Viya, enhancing decision-making and insights from diverse data sources.
  • Users value the end-to-end data lifecycle tooling in SAS Viya, enhancing insights and strategic decision-making capabilities.
  • Users value the powerful data visualization capabilities of SAS Viya, enhancing insights and decision-making in their organizations.
Cons
  • Users find SAS Viya difficult for non-technical users to navigate, impacting ease of access to reports and dashboards.
  • Users find the visualization complexity of SAS Viya challenging, especially for those without technical expertise.
  • Users find the learning curve challenging, especially for non-technical individuals navigating reports and dashboards.
  • Users find the difficult learning curve for SAS Viya challenging, especially for non-technical users attempting to access features.
  • Users find the expensive pricing of SAS Viya a potential barrier, complicating their decision-making process.

What Are Recent G2 Reviews of SAS Viya?

What Are G2 Users Discussing About SAS Viya?

GTM Studio - Powered by ZoomInfo

Note: GTM Studio is the upgraded version of ZoomInfo Marketing and ZoomInfo Operations. GTM Studio is ZoomInfo's AI-powered go-to-market canvas that unifies signals, systems, and teams in one intelligent workspace so plays fire automatically, moments aren't missed, and reps always know what to do next. Designed for RevOps and marketing teams, GTM Studio eliminates tool sprawl by connecting CRM, marketing, sales, and third-party data into a single live canvas - giving every team a complete, AI-ready view of their market. At the core of GTM Studio is built-in waterfall enrichment that automatically fills in missing contact and account data across 25+ vendors, so the data powering every play is always complete and actionable. AI-powered insights surface buying signals in real time, helping teams respond to in-market buyers in under five minutes - before competitors have even pulled a list. Every insight is grounded in your ICP, so GTM decisions are faster, sharper, and more informed. GTM Studio is built for speed to execution. A library of pre-built plays - including inbound acceleration, champion tracking, and competitive displacement - can be launched in a single click, with no tickets, no engineering support, and no waiting. Custom plays can be designed, tested, and scaled without code or developer involvement, compressing what used to take weeks into minutes. Specialized AI agents handle enrichment, scoring, routing, and message creation automatically, so teams stay focused on results rather than operations. GTM Studio integrates with the tools revenue teams already rely on - Salesforce, HubSpot, Salesloft, Gong, Slack, and 50+ more - ensuring signals flow freely across the stack and execution happens without friction. Built-in analytics measure what's working in real time, while automated workflows and alerts keep teams responsive to every change in GTM data. The result is a GTM motion that runs on its own - where top-performing teams launch more than 50 plays per quarter, expansion campaigns that once took three weeks go live in 30 minutes, and every seller always knows exactly where to focus next.

Average Rating: 4.5/5.0

Total Reviews: 3,395

How Do G2 Users Rate GTM Studio - Powered by ZoomInfo?

  • Quality of Support: 8.9/10 (Category avg: 8.8/10)
  • Automation: 8.9/10 (Category avg: 8.7/10)
  • Identification: 9.0/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.8/10 (Category avg: 8.5/10)

Who Is the Company Behind GTM Studio - Powered by ZoomInfo?

  • Seller: ZoomInfo
  • Company Website:
  • Year Founded: 2000
  • HQ Location: Vancouver, WA
  • Twitter: @ZoomInfo
    23,515 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    9,779 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 63% Medium, 24% Large

What Do G2 Reviewers Say About GTM Studio - Powered by ZoomInfo?

AI-generated summary from verified user reviews

Pros
  • Users value the reliable B2B contact data of GTM Studio, enhancing targeted prospect lists and campaign efficiency.
  • Users value the accuracy of data and intent signals in GTM Studio, enhancing their lead generation and targeting efforts.
  • Users find GTM Studio's ease of use exceptional, streamlining lead enrichment with straightforward features and intuitive navigation.
  • Users value the reliable and accurate B2B contact data from GTM Studio, enhancing campaign effectiveness and targeting precision.
  • Users value the high-quality data from GTM Studio - Powered by ZoomInfo for efficient, targeted outreach campaigns.
Cons
  • Users find the pricing high, making it less accessible for smaller teams with limited budgets.
  • Users find that data inaccuracy affects reliability, with outdated information and missing data for niche roles.
  • Users note that the pricing is high for small teams, making it less accessible for budget-conscious businesses.
  • Users find the learning curve steep, feeling overwhelmed initially due to the platform's complexity and range of features.
  • Users find the platform's complexity overwhelming initially, requiring training and processes for effective use.

What Are Recent G2 Reviews of GTM Studio - Powered by ZoomInfo?

What Are G2 Users Discussing About GTM Studio - Powered by ZoomInfo?

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.

Average Rating: 4.5/5.0

Total Reviews: 134

How Do G2 Users Rate Atlan?

  • Quality of Support: 9.2/10 (Category avg: 8.8/10)
  • Automation: 7.7/10 (Category avg: 8.7/10)
  • Identification: 7.6/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 6.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Atlan?

  • Seller: Atlan
  • Company Website:
  • Year Founded: 2019
  • HQ Location: New York, US
  • Twitter: @AtlanHQ
    9,804 Twitter followers
  • LinkedIn® Page: in.linkedin.com
    558 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Information Technology and Services
  • Company Size: 51% Medium, 42% Large

What Do G2 Reviewers Say About Atlan?

AI-generated summary from verified user reviews

Pros
  • Users commend Atlan for its ease of use, making data collaboration smooth and accessible for all.
  • Users appreciate Atlan's intuitive user interface and seamless integration, enhancing collaboration and administrative efficiency.
  • Users appreciate Atlan's exceptional data discovery and collaboration features, simplifying data management and ensuring high quality.
  • Users value the lineage feature of Atlan for its ability to seamlessly integrate and reveal data dependencies.
  • Users appreciate the easy setup of Atlan, enhancing productivity and collaboration without technical barriers.
Cons
  • Users find the learning curve steep with Atlan, requiring time to fully leverage its extensive features.
  • Users note limited functionality in Atlan, particularly with AI capabilities and integration options across teams and tools.
  • Users find user interface issues hinder usability, with limited customization and a steep learning curve for business users.
  • Users find the difficult learning curve with Atlan challenging, particularly due to its many features and configurations.
  • Users report integration issues with Teams and non-native databases, requiring more efficient setup and user management.

What Are Recent G2 Reviews of Atlan?

Collibra

Try Collibra for free @ Collibra.com/tour Collibra is for organizations with complex data challenges, hybrid data ecosystems—and big ambitions for data and AI. We help organizations who are trying to accelerate data and AI use cases while ensuring compliance, but are struggling with fragmented governance and visibility across the whole hybrid data ecosystem. Collibra unifies governance for data and AI across every system, data source and user—to create safe autonomy and a foundation for scaling AI and data use cases. With Collibra, you can accelerate all your data and AI use cases, safely and with well–understood data. That’s Data Confidence.

Average Rating: 4.2/5.0

Total Reviews: 99

How Do G2 Users Rate Collibra?

  • Quality of Support: 8.2/10 (Category avg: 8.8/10)
  • Automation: 7.8/10 (Category avg: 8.7/10)
  • Identification: 8.4/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 7.1/10 (Category avg: 8.5/10)

Who Is the Company Behind Collibra?

  • Seller: Collibra
  • Company Website:
  • Year Founded: 2008
  • HQ Location: New York, New York
  • Twitter: @collibra
    5,756 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,095 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Banking
  • Company Size: 72% Large, 18% Medium

What Do G2 Reviewers Say About Collibra?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the unified data intelligence platform of Collibra, effectively aligning Business and IT on a single system.
  • Users value the strong data governance features of Collibra, enhancing data accessibility and trustworthiness across the organization.
  • Users value the effective data management capabilities of Collibra, enhancing compliance, governance, and integration for optimal use.
  • Users appreciate the collaborative tools of Collibra, enhancing communication and efficiency in managing complex data ecosystems.
  • Users value Collibra for its reliable and user-friendly data intelligence platform, enhancing productivity through seamless integration and support.
Cons
  • Users note the complexity issues in Collibra, particularly with setup, bugs, and inconsistent API stability.
  • Users find Collibra's complexity hinders efficiency, as setup, configuration, and user engagement can be overwhelming.
  • Users struggle with limited functionality due to complex navigation and unintuitive language in Collibra.
  • Users find the difficult setup of Collibra to require significant time and resources, impacting their overall experience.
  • Users find Collibra to be expensive, with high licensing fees and challenges in adoption impacting user experience.

What Are Recent G2 Reviews of Collibra?

What Are G2 Users Discussing About Collibra?

Validity Engage

Validity Engage is an AI-native platform built for high-volume enterprise marketing teams that want every email to be better than the last. It covers the full email lifecycle: competitor intelligence, contact validation, design and testing, deliverability, and live email monitoring. Engage unifies capabilities formerly delivered across separate Validity products: (Formerly) Validity Litmus: Broken links, brand inconsistencies, and rendering issues that slip through review erode subscriber trust. Engage's email building, QA testing, spam filter testing, and accessibility checks—backed by LLM powered spelling and grammar review—catch issues before they reach a subscriber, giving teams control without slowing production. (Formerly) Validity Everest: Unnoticed deliverability issues quietly drain revenue. Engage's inbox placement and deliverability monitoring shows exactly where your emails land across every major provider, giving teams the visibility to catch problems and stay off blocklists. (Formerly) Validity BriteVerify: Invalid contact data drives up bounces and damages sender reputation. Engage's contact and email validation keeps the data behind every send accurate—automatically. It gives teams the confidence to send at scale without second-guessing the list. Engage also adds proprietary competitor intelligence, showing you what's working across the market before a campaign even sends. Sender Certification, an upgrade available with Engage, helps senders reach more inboxes—and stay there—as a trusted sender. Engage’s insights are powered by the Validity Intelligence Network, built on 25 years of exclusive partnerships, real-time visibility into inboxes worldwide, and signals from across the email ecosystem. The network spans more than 140 ISPs, tracks 35,000-plus brands, and processes 2.5 billion behavioral data points every day. Engage puts that intelligence to work through a team of agents that watch performance around the clock, recommend the next best action, and fine-tune campaigns without waiting to be asked.

Average Rating: 4.5/5.0

Total Reviews: 973

How Do G2 Users Rate Validity Engage?

  • Quality of Support: 8.7/10 (Category avg: 8.8/10)
  • Automation: 8.2/10 (Category avg: 8.7/10)
  • Identification: 9.1/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Validity Engage?

  • Seller: Validity Inc
  • Company Website:
  • Year Founded: 2018
  • HQ Location: Boston, Massachusetts
  • Twitter: @TrustValidity
    1,151 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    349 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Marketing Manager, Email Marketing Manager
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 44% Medium, 29% Small

What Do G2 Reviewers Say About Validity Engage?

AI-generated summary from verified user reviews

Pros
  • Users value the dynamic previews of Litmus, enhancing email rendering insights across devices and clients.
  • Users value the effective email automation and personalization features of Validity Engage, boosting campaign optimization and engagement.
  • Users value the ease of use of Validity Engage, praising its intuitive interface and streamlined collaboration features.
  • Users love the detailed dynamic previews of Litmus, enhancing email design across multiple devices and platforms.
  • Users value the detailed analytics provided by Litmus for optimizing email performance across devices and clients.
Cons
  • Users find the absence of key features frustrating, particularly regarding template sharing and an undo option.
  • Users often experience slow performance with Validity Engage when switching previews and rendering email tests.
  • Users find Validity Engage to be quite expensive, with many features locked behind higher cost tiers.
  • Users express concerns about email client settings rigidity and the need for improved customization and error visibility.
  • Users are frustrated by the slow loading times for tests, negatively impacting efficiency and productivity.

What Are Recent G2 Reviews of Validity Engage?

What Are G2 Users Discussing About Validity Engage?

dbt

dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.

Average Rating: 4.7/5.0

Total Reviews: 208

How Do G2 Users Rate dbt?

  • Quality of Support: 8.8/10 (Category avg: 8.8/10)
  • Automation: 9.3/10 (Category avg: 8.7/10)
  • Identification: 8.7/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind dbt?

  • Seller: Fivetran
  • Year Founded: 2012
  • HQ Location: Oakland, CA
  • Twitter: @fivetran
    5,767 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,902 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Analytics Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 56% Medium, 27% Small

What Do G2 Reviewers Say About dbt?

AI-generated summary from verified user reviews

Pros
  • Users find dbt's ease of use exceptional, with straightforward setup and intuitive features enhancing their data transformation processes.
  • Users appreciate the maintainability and clarity of dbt's SQL code base, enhancing collaboration and data transformations.
  • Users value the automation of data workflows with dbt, enhancing maintainability and collaboration in SQL transformations.
  • Users love the ease of transforming data with dbt, allowing for organized and efficient analytics workflows.
  • Users value the data quality of dbt, praising its effectiveness in ensuring data integrity and operational efficiency.
Cons
  • Users find that dbt has limited functionality due to rigidness and complex debugging, hindering project progress.
  • Users face dependency issues in dbt, as model errors and upstream changes complicate troubleshooting and disrupt workflows.
  • Users find the steep learning curve of dbt daunting, needing mastery of concepts like Jinja and Git.
  • Users encounter poor error handling with unclear messages, making troubleshooting frustrating and complicating the user experience.
  • Users often face confusing error reporting and unclear messages, making troubleshooting and identifying issues challenging.

What Are Recent G2 Reviews of dbt?

What Are G2 Users Discussing About dbt?

Acceldata

Acceldata is the Data and AI platform for Autonomous Enterprise. Large enterprises need uniform data access, compute capabilities and governance to run analytics and deploy agents across their hybrid infrastructure. But most enterprise data platforms were built on the assumption that data would eventually centralize into a single warehouse or lakehouse. In practice, large enterprises operate four or more data platforms simultaneously, with data distributed across cloud providers, on-premises systems, and regulated environments that cannot move data across borders. Acceldata addresses this by bringing compute to wherever data already resides, rather than forcing data to move to the compute engine. Acceldata supports every stage of the data lifecycle, on any platform, bringing compute to where the data lives and ensuring data trust by unifying data quality, governance and observability into an intelligent, AI-driven fabric. Trusted by Fortune 500 companies worldwide, Acceldata empowers businesses to unlock the full potential of their data in the AI era. Key capabilities include: 1. Data and AI Observability: End-to-end monitoring of data pipelines, data quality, AI agent behavior, and LLM outputs. Includes anomaly detection, data lineage, reconciliation, and alert management across environments. 2. Agentic Data Management (ADM): Deploys autonomous agents to automate data quality monitoring, pipeline operations, catalog management, and incident response across distributed data estates. 3. Agentic Data Engineering (ADE): Builds, orchestrates, and runs data pipelines using intelligent agents that automate pipeline creation, federated querying, and job management. 4. Data Warehousing: Executes queries in-place across lakehouses and warehouses using a Velox-accelerated engine, supporting open formats including Apache Iceberg, Delta Lake, Hudi, and Parquet with no vendor lock-in. 5. Data Platform Modernization: Provides phased migration paths for enterprises running Hadoop or Cloudera infrastructure, with in-place, sidecar, and forklift migration options built on an open-source foundation. Acceldata is designed for large enterprises in financial services, life sciences, telecommunications, manufacturing, retail, and insurance, particularly organizations operating regulated data environments where governance and data residency requirements prevent full cloud migration. The platform integrates with Snowflake, Databricks, AWS, Azure, GCP, and major open-source data frameworks.

Average Rating: 4.4/5.0

Total Reviews: 54

How Do G2 Users Rate Acceldata?

  • Quality of Support: 8.9/10 (Category avg: 8.8/10)
  • Automation: 8.8/10 (Category avg: 8.7/10)
  • Identification: 9.0/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 7.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Acceldata?

  • Seller: Acceldata
  • Company Website:
  • Year Founded: 2018
  • HQ Location: Campbell, CA
  • Twitter: @acceldataio
    340 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    330 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 62% Large, 22% Medium

What Do G2 Reviewers Say About Acceldata?

AI-generated summary from verified user reviews

Pros
  • Users find Acceldata to be easy to use, enhancing productivity with its user-friendly interface and seamless integration.
  • Users highly value the responsive customer support of Acceldata, enhancing their experience with prompt and effective assistance.
  • Users benefit from the efficiency improvement provided by Acceldata, ensuring reliable data and streamlined operations.
  • Users praise the efficiency and effectiveness of Acceldata, appreciating its quick onboarding and robust technology stack.
  • Users commend the effective monitoring capabilities of Acceldata, enhancing data management and proactive decision-making significantly.
Cons
  • Users feel the UX of Acceldata could be more intuitive, citing inconsistencies and slow response times as areas for improvement.
  • Users find the initial setup complex and believe improvements in documentation and visualization are needed.
  • Users find the difficult setup challenging, noting complications in initial configuration and lacking documentation.
  • Users find the steep learning curve and complex initial setup of Acceldata challenging and in need of improvement.
  • Users find the learning difficulty in setting up Acceldata challenging, noting a steep initial learning curve.

What Are Recent G2 Reviews of Acceldata?

Oracle Data Quality

Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data resulting in trustworthy master data that integrates with applications to improve business insight.

Average Rating: 4.0/5.0

Total Reviews: 54

How Do G2 Users Rate Oracle Data Quality?

  • Quality of Support: 8.4/10 (Category avg: 8.8/10)
  • Automation: 8.2/10 (Category avg: 8.7/10)
  • Identification: 9.2/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Oracle Data Quality?

  • Seller: Oracle
  • Year Founded: 1977
  • HQ Location: Austin, TX
  • Twitter: @Oracle
    827,997 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    207,576 employees on LinkedIn®
  • Ownership: NYSE:ORCL

Who Uses This Product?

  • Top Industries: Hospital & Health Care, Information Technology and Services
  • Company Size: 50% Large, 28% Small

What Are Recent G2 Reviews of Oracle Data Quality?

What Are G2 Users Discussing About Oracle Data Quality?

Informatica Data Quality & Observability

Informatica Data Quality is a comprehensive solution designed to help organizations ensure their data is accurate, complete, and reliable. By automating critical data quality tasks, it enables businesses to trust their data for analytics, decision-making, and customer engagement. This tool supports data cleansing, standardization, validation, and enrichment across various data sources and platforms, ensuring consistency and reliability throughout the data lifecycle. Key Features and Functionality: - Data Discovery and Profiling: Allows users to profile data and perform iterative analysis to identify relationships and detect quality issues. - Rich Set of Transformations: Offers capabilities such as standardization, validation, enrichment, and de-duplication to transform data effectively. - Reusable Rules and Accelerators: Provides prebuilt business rules and accelerators that can be reused to maintain consistent data quality standards. - Integrated Data Governance: Ensures data quality is applied automatically with integrated data governance and cataloging. - AI-Powered Automation: Utilizes AI to streamline data quality processes, enhancing productivity and efficiency. Primary Value and Solutions Provided: Informatica Data Quality addresses the challenge of maintaining high-quality data across an organization. By automating data quality tasks, it reduces manual effort and minimizes errors, leading to more accurate analytics and informed decision-making. The solution ensures that data is clean, complete, and free of duplicates, which is essential for reliable business insights. Additionally, by standardizing and validating data, organizations can deliver more relevant and personalized customer experiences, thereby enhancing customer engagement and satisfaction.

Average Rating: 4.3/5.0

Total Reviews: 63

How Do G2 Users Rate Informatica Data Quality & Observability?

  • Quality of Support: 8.1/10 (Category avg: 8.8/10)
  • Automation: 8.1/10 (Category avg: 8.7/10)
  • Identification: 8.6/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Informatica Data Quality & Observability?

  • Seller: Informatica
  • Year Founded: 1993
  • HQ Location: Redwood City, CA
  • Twitter: @Informatica
    99,643 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,473 employees on LinkedIn®
  • Ownership: NYSE: INFA

Who Uses This Product?

  • Company Size: 75% Large, 49% Medium

What Do G2 Reviewers Say About Informatica Data Quality & Observability?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the customization options in Informatica Data Quality, allowing tailored solutions for diverse data needs.
Cons
  • Users find the difficult learning curve of Informatica Data Quality requires significant time to grasp its functionalities.
  • Users find the learning difficulty of Informatica Data Quality challenging, requiring significant time to grasp its functionalities.
  • Users feel the need for extensive training to fully grasp Informatica Data Quality's functionalities and features.

What Are Recent G2 Reviews of Informatica Data Quality & Observability?

What Are G2 Users Discussing About Informatica Data Quality & Observability?

Microsoft Data Quality Services

SQL Server Data Quality Services (DQS) is a knowledge-driven data quality product.

Average Rating: 3.9/5.0

Total Reviews: 47

How Do G2 Users Rate Microsoft Data Quality Services?

  • Quality of Support: 8.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Microsoft Data Quality Services?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • Twitter: @microsoft
    13,091,739 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT

Who Uses This Product?

  • Company Size: 53% Small, 29% Medium

What Are Recent G2 Reviews of Microsoft Data Quality Services?

What Are G2 Users Discussing About Microsoft Data Quality Services?

Demandbase One

Demandbase is the leading, enterprise-grade account-based GTM platform for sales and marketing teams designed to make every moment and every dollar count. Since creating the category in 2013, we have been pioneering technologies to sharpen revenue teams’ ability to confidently deliver the right message to the right customers at the right time. Powered by industry-leading data, our transparent and tunable AI-enhanced model, and integrations that meet your tech stack where it is, Demandbase helps you to take meaningful action confidently and efficiently. We know that there’s no such thing as ‘one-size- fits-all’ account-based marketing and sales. That’s why we built our platform to be flexible, easily handling dynamic GTM motions, nuanced business rules, and diverse integrations that others struggle with. Demandbase One™ is your account-based GTM command center, powering your entire revenue stack. Our AI-driven engine unifies first and third-party data, streamlines cross-channel execution, and connects the tools in your stack with the same data, insights, and workflows to accelerate your revenue.

Average Rating: 4.4/5.0

Total Reviews: 1,943

How Do G2 Users Rate Demandbase One?

  • Quality of Support: 8.8/10 (Category avg: 8.8/10)
  • Automation: 9.0/10 (Category avg: 8.7/10)
  • Identification: 8.7/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Demandbase One?

  • Seller: Demandbase
  • Company Website:
  • Year Founded: 2005
  • HQ Location: San Francisco, CA
  • Twitter: @Demandbase
    21,346 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    989 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Account Executive, Business Development Representative
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 48% Medium, 32% Large

What Do G2 Reviewers Say About Demandbase One?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Demandbase One, enabling quick campaign launches and efficient audience targeting.
  • Users value the comprehensive tools in Demandbase One, which enhance clarity and efficiency across account management.
  • Users value the variety of powerful tools in Demandbase One that enhance account targeting and analytics effectively.
  • Users value the unified data integration of Demandbase One, enhancing targeted audience building and workflow efficiency.
  • Users value the ability to combine intent and website traffic data, enhancing decision-making across their organization.
Cons
  • Users find the learning curve challenging, often needing more training to fully utilize Demandbase One's features.
  • Users experience a steep learning curve that can be frustrating when navigating the extensive features of Demandbase One.
  • Users find the complexity of reporting and customization options can hinder optimal use of Demandbase One.
  • Users find the learning difficulty of Demandbase One challenging, especially for those lacking technical expertise during setup.
  • Users find Demandbase One to have a difficult learning curve that complicates initial usage and requires time to master.

What Are Recent G2 Reviews of Demandbase One?

What Are G2 Users Discussing About Demandbase One?

Openprise

Openprise makes your GTM data smarter with AI and automation. As the only data and AI orchestration platform built for modern go-to-market teams, Openprise automates your processes, unifies your data silos, and consolidates point solutions so Ops leaders can build smarter GTM data — your data, your way, your timeline. Fortune 500 companies and high-growth enterprises alike rely on Openprise and its partner ecosystem to unlock cleaner data, more efficient operations, and AI-ready pipelines. See how Openprise makes your GTM data smarter at www.openprisetech.com and follow us on LinkedIn. For more information, please visit www.openprisetech.com.

Average Rating: 4.9/5.0

Total Reviews: 63

How Do G2 Users Rate Openprise?

  • Quality of Support: 9.9/10 (Category avg: 8.8/10)
  • Automation: 9.7/10 (Category avg: 8.7/10)
  • Identification: 9.3/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 9.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Openprise?

  • Seller: Openprise
  • Year Founded: 2014
  • HQ Location: San Mateo, US
  • Twitter: @openprisetech
    3,573 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    128 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 59% Large, 34% Medium

What Do G2 Reviewers Say About Openprise?

AI-generated summary from verified user reviews

Pros
  • Users value the booking efficiency of Openprise, benefiting from its strong database and flexible lead routing options.
  • Users value the strong database and flexible lead routing options provided by Openprise for effective data management.
  • Users value the strong database and storage modules in Openprise, enabling complex lead routing with flexibility.
  • Users appreciate the flexibility of Openprise, allowing for diverse and complex lead routing methods effortlessly.
  • Users value the strong database and storage capabilities of Openprise, enabling complex lead routing methods effectively.
Cons
  • Users find the poor navigation of Openprise frustrating, indicating a need for improved user interface design.

What Are Recent G2 Reviews of Openprise?

What Are G2 Users Discussing About Openprise?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated