Best ETL Tools for Small Business

How Many ETL Tools Products Does G2 Track?

Total Products under this Category: 273

Category Stats (Sep 2026)

  • Average Rating: 4.55/5 (↑0.01 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Cloudera (+2.21%) - Among all products in this category, Cloudera recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank ETL Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 19,700+ Authentic Reviews
  • 273+ 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 ETL Tools

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

Highlighted products: Celigo, Databricks, Alteryx, Skyvia, FME Platform, IBM watsonx.data, Maia, and Coupler.io.

Underlying data: [Grid® JSON](https://www.g2.com/categories/etl-tools/grids.json?focus%5B%5D=celigo&focus%5B%5D=databricks&focus%5B%5D=alteryx&focus%5B%5D=skyvia&focus%5B%5D=fme-platform&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=matillion-maia&focus%5B%5D=coupler-io&segment=small-business)

Celigo

Celigo puts intelligent automation in the hands of every team, unifying workflows from the predictable to the fully agentic in a single platform through a first-of-its-kind natural language interface. The platform is recognized by G2 as #1 in iPaaS and a Leader in API Management, API Marketplace, and EDI and is the only vendor named a 2025 Gartner® Peer Insights™ Customers’ Choice for iPaaS. Learn more at: celigo.com.

Average Rating: 4.6/5.0

Total Reviews: 1,068

How Do G2 Users Rate Celigo?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 9.1/10)
  • Automation: 10.0/10 (Category avg: 9.0/10)
  • Scalability: 10.0/10 (Category avg: 8.7/10)
  • Auditing: 10.0/10 (Category avg: 8.2/10)

Who Is the Company Behind Celigo?

  • Seller: Celigo
  • Company Website:
  • Year Founded: 2011
  • HQ Location: Redwood City, California
  • Twitter: @celigoinc
    1,418 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    786 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: IT Manager, NetSuite Administrator
  • Top Industries: Retail, Consumer Goods
  • Company Size: 58% Medium, 37% Small

What Do G2 Reviewers Say About Celigo?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in Celigo, appreciating its intuitive interface and effective connectivity options.
  • Users value the comprehensive integrations offered by Celigo, enabling seamless connections with various business systems effortlessly.
  • Users appreciate the comprehensive integration capabilities of Celigo, facilitating connections with various partners seamlessly.
  • Users praise the easy integrations offered by Celigo, especially with NetSuite, appreciating the prebuilt connectors and solid support.
  • Users praise the responsive and helpful customer support from Celigo, making issue resolution seamless.
Cons
  • Users find that error handling is unclear, making it challenging to resolve issues and track discrepancies efficiently.
  • Users note that Celigo can be expensive, especially for small businesses needing multiple managed modules.
  • Users face a notable learning curve with Celigo, making initial navigation and understanding of flows challenging.
  • Users report that Celigo’s complexity can lead to frustration, especially when debugging and understanding data flows.
  • Users find pricing issues with Celigo, noting that costs increase with additional features and managed modules.

What Are Recent G2 Reviews of Celigo?

What Are G2 Users Discussing About Celigo?

Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value.

Average Rating: 4.6/5.0

Total Reviews: 1,334

How Do G2 Users Rate Databricks?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.1/10)
  • Automation: 9.0/10 (Category avg: 9.0/10)
  • Scalability: 9.1/10 (Category avg: 8.7/10)
  • Auditing: 8.5/10 (Category avg: 8.2/10)

Who Is the Company Behind Databricks?

  • Seller: Databricks Inc.
  • Company Website:
  • Year Founded: 2013
  • HQ Location: San Francisco, CA
  • Twitter: @databricks
    92,269 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    14,336 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 47% Large, 38% Medium

What Do G2 Reviewers Say About Databricks?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the ease of use and extensive features of Databricks, streamlining data warehousing and machine learning tasks.
  • Users appreciate the ease of use of Databricks, enhancing their experience with its intuitive interface and efficient features.
  • Users value the seamless integrations with AWS services that enhance efficiency and support diverse business needs.
  • Users value the seamless collaboration provided by Databricks, enhancing teamwork on data projects and insights sharing.
  • Users value the wide array of integrated analytical features in Databricks, enhancing efficiency and collaboration in data projects.
Cons
  • Users face a steep learning curve with Databricks, as its complexity can be confusing for newcomers.
  • Users note that the cost of Databricks can be quite high, particularly for large data projects and limited free options.
  • Users find the steep learning curve of Databricks challenging, particularly for those unfamiliar with big data tools.
  • Users find the complexity of Databricks challenging, especially during initial setup and navigation of advanced features.
  • Users encounter complex setup challenges with Databricks initially, but support helps resolve issues quickly.

What Are Recent G2 Reviews of Databricks?

What Are G2 Users Discussing About Databricks?

Alteryx

Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial.

Average Rating: 4.6/5.0

Total Reviews: 863

How Do G2 Users Rate Alteryx?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.1/10)
  • Automation: 9.7/10 (Category avg: 9.0/10)
  • Scalability: 8.6/10 (Category avg: 8.7/10)
  • Auditing: 10.0/10 (Category avg: 8.2/10)

Who Is the Company Behind Alteryx?

  • Seller: Alteryx
  • Company Website:
  • Year Founded: 1997
  • HQ Location: Irvine, CA
  • Twitter: @alteryx
    26,149 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,312 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Analyst
  • Top Industries: Financial Services, Accounting
  • Company Size: 63% Large, 21% Medium

What Do G2 Reviewers Say About Alteryx?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in Alteryx, finding it simple to automate tasks with drag and drop functionality.
  • Users value the automation capabilities of Alteryx, streamlining data processes and enhancing analytical efficiency.
  • Users find Alteryx to be very intuitive, making it easy for non-technical users to learn and utilize.
  • Users find that Alteryx's interface makes learning technology easy for everyone, even those without a tech background.
  • Users value Alteryx for its efficiency in managing data, streamlining workflows, and enhancing overall productivity.
Cons
  • Users highlight the expensive pricing of Alteryx, making it difficult for small teams or startups to afford licenses.
  • Users face a steep learning curve with Alteryx, requiring time to master its complex features.
  • Users find that Alteryx suffers from missing features, such as lack of direct database access and limited reporting tools.
  • Users find the learning difficulty of Alteryx steep, especially for those unfamiliar with RegEx and SQL.
  • Users experience slow performance with Alteryx, particularly when handling large workflows and during data wrangling tasks.

What Are Recent G2 Reviews of Alteryx?

Skyvia

Skyvia is a no-code cloud data integration and data pipeline platform that enables ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, workflow automation, real-time connectivity, and much more. Benefits of Using Skyvia: • Cost efficiency: With affordable, flexible pricing plans for each product, Skyvia suites for businesses of any size. • Ease of Use: Based on extensive customer feedback, ease of use is Skyvia's strongest quality. • Flexibility: Skyvia provides adaptable, no-code integration tools for both basic and advanced business scenarios. • Trust: Skyvia is trusted by thousands of data-driven organizations around the globe. With a vast library of 200+ connectors, Skyvia provides seamless integration among various cloud applications, databases, and data warehouses, including Salesforce, Dynamics CRM, QuickBooks Online, SQL Server, Amazon Redshift, Google BigQuery, and others.

Average Rating: 4.8/5.0

Total Reviews: 320

How Do G2 Users Rate Skyvia?

  • Has the product been a good partner in doing business?: 9.3/10 (Category avg: 9.1/10)
  • Automation: 9.4/10 (Category avg: 9.0/10)
  • Scalability: 9.3/10 (Category avg: 8.7/10)
  • Auditing: 9.0/10 (Category avg: 8.2/10)

Who Is the Company Behind Skyvia?

  • Seller: Devart
  • Year Founded: 1997
  • HQ Location: Wilmington, Delaware, USA
  • Twitter: @DevartSoftware
    1,736 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    251 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO, CTO
  • Top Industries: Information Technology and Services, Marketing and Advertising
  • Company Size: 52% Small, 41% Medium

What Do G2 Reviewers Say About Skyvia?

AI-generated summary from verified user reviews

Pros
  • Users value the intuitive interface of Skyvia, making data integration tasks quick and straightforward.
  • Users appreciate the easy integrations provided by Skyvia, enhancing their workflow across multiple platforms effortlessly.
  • Users find the easy setup of Skyvia invaluable, making data integration straightforward and hassle-free for teams.
  • Users laud the easy setup of Skyvia, making integration fast and user-friendly without any coding required.
  • Users value the easy integrations provided by Skyvia, making complex connections simple and efficient.
Cons
  • Users note an information deficiency in Skyvia, citing a lack of detailed documentation and insufficient logging for troubleshooting.
  • Users find the difficult setup of Skyvia challenging, especially with large datasets and complex integrations.
  • Users find the learning curve steep initially, needing time to fully grasp the platform's functionalities.
  • Users find the poor documentation of Skyvia limits effective use, suggesting improvements for clarity and real-world examples.
  • Users face setup difficulties with large datasets and field mapping, which may require extra time and effort.

What Are Recent G2 Reviews of Skyvia?

What Are G2 Users Discussing About Skyvia?

FME Platform

FME, made by Safe Software, is the only All-Data, Any-AI Enterprise Integration Platform connecting all your data, applications, and AI services. All Data Velocities - Whether it’s batch, event, or stream processing, FME delivers you no-code business orchestration and automation. All Data Locations - Wherever your data is - in the cloud, on-premises, or both - FME matches your data landscape with processing, increasing scalability, agility, and security. All Data Types - From databases to business systems to IoT, you name it, we connect it. As the only integration platform with support for spatial data, FME delivers new insights so you can make better decisions and stay ahead of the competition. Any AI Technology - Power your workflows with the right data at the right time regardless of modality, location or data velocity. FME powers real-time, context-aware automation, scaling AI where and how you need it.

Average Rating: 4.6/5.0

Total Reviews: 127

How Do G2 Users Rate FME Platform?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.1/10)
  • Automation: 9.4/10 (Category avg: 9.0/10)
  • Scalability: 8.1/10 (Category avg: 8.7/10)
  • Auditing: 8.8/10 (Category avg: 8.2/10)

Who Is the Company Behind FME Platform?

  • Seller: Safe Software
  • Company Website:
  • Year Founded: 1993
  • HQ Location: British Columbia, Canada
  • Twitter: @SafeSoftware
    4,972 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    346 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, GIS Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 47% Medium, 26% Small

What Do G2 Reviewers Say About FME Platform?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the user-friendly interface of FME Platform, making data workflows efficient and enjoyable to manage.
  • Users value the widespread data handling capabilities of the FME Platform, simplifying complex data workflows seamlessly.
  • Users laud FME Platform for its automation capabilities, enhancing productivity and streamlining complex data workflows effortlessly.
  • Users value the powerful automation and flexibility of FME Platform, enhancing data workflows and productivity significantly.
  • Users value the versatile data transformation capabilities of FME Platform, enhancing workflows and enabling efficient data handling.
Cons
  • Users often find the excessive complexity of FME Platform's automation features overwhelming, especially for less technical users.
  • Users find the pricing model expensive, particularly impacting smaller teams and individual power users seeking affordable options.
  • Users face a steep learning curve with FME Platform, particularly due to its complex UI and technical demands.
  • Users find the steep learning curve of FME Platform challenging, complicating their ability to navigate and understand the software.
  • Users express concerns over pricing issues, finding it increasingly expensive and unfavorable for smaller teams and individual users.

What Are Recent G2 Reviews of FME Platform?

What Are G2 Users Discussing About FME Platform?

Maia

Maia is an AI Data Automation platform powered by autonomous AI agents that build, maintain, and evolve data products, thus eliminating manual data work. Maia empowers CDAOs and enterprise data teams to deliver data products at machine scale while maintaining governance. Its integrated platform combines specialized agents in Maia Team, grounded in the organizational data intelligence of the Maia Context Engine and executed through the governed data tools of Maia Foundation. Organizations like EDF, St. James’ Place, and Nature’s Touch use Maia to automate data work at scale, modernize platforms, and accelerate AI roadmaps without expanding headcount. See Maia for yourself.

Average Rating: 4.5/5.0

Total Reviews: 120

How Do G2 Users Rate Maia?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 9.1/10)
  • Automation: 9.1/10 (Category avg: 9.0/10)
  • Scalability: 8.7/10 (Category avg: 8.7/10)
  • Auditing: 7.8/10 (Category avg: 8.2/10)

Who Is the Company Behind Maia?

  • Seller: Matillion
  • Company Website:
  • Year Founded: 2011
  • HQ Location: Salford, GB
  • Twitter: @matillion
    7,362 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    463 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 47% Medium, 31% Large

What Do G2 Reviewers Say About Maia?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Maia, making configuration and understanding features accessible for all users.
  • Users value the seamless automation of Matillion, enhancing efficiency and simplifying the ETL process effortlessly.
  • Users find Matillion’s intuitive interface simplifies complex tasks, making it accessible and efficient for all users.
  • Users appreciate the simple and user-friendly interface of Matillion, making ETL processes effortless for everyone.
  • Users appreciate Matillion's intuitive interface that simplifies complex tasks and enhances user comfort for all experience levels.
Cons
  • Users face feature limitations in Maia, impacting job performance and complicating template reusability efforts.
  • Users face performance issues with Jython and single-thread limitations, while cloud features are lacking compared to the server version.
  • Users express concern over cloud dependency, facing challenges with limited customization and additional costs at scale.
  • Users find Maia to be expensive, especially as data volume increases and costs can accumulate quickly.
  • Users report API limitations in Maia, particularly lacking administrative access features and raw data export options.

What Are Recent G2 Reviews of Maia?

What Are G2 Users Discussing About Maia?

IBM watsonx.data

IBM® watsonx.data® helps you access, integrate and understand all your data —structured and unstructured—across any environment. It optimizes workloads for price and performance while enforcing consistent governance across sources, formats and teams. Watch the demo to learn how watsonx.data empowers you to build gen AI apps and powerful AI agents. Free Trial available: https://ibm.biz/Watsonx-data_Trial

Average Rating: 4.4/5.0

Total Reviews: 169

G2 Deal: Save 30% on your first monthly or annual subscription. Offer ends 15 April 2026.

Get 30% off your new monthly or annual watsonx.data Enterprise subscription. Optimize data workloads at a fraction of the cost. Offer ends 15 April 2026.

Price: ~~61.81~~ → 88.30

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How Do G2 Users Rate IBM watsonx.data?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.1/10)
  • Automation: 8.3/10 (Category avg: 9.0/10)
  • Scalability: 8.3/10 (Category avg: 8.7/10)
  • Auditing: 5.8/10 (Category avg: 8.2/10)

Who Is the Company Behind IBM watsonx.data?

  • Seller: IBM
  • Company Website:
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Software Developer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 34% Small, 32% Large

What Do G2 Reviewers Say About IBM watsonx.data?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of IBM watsonx.data, finding it reliable and efficient for data management.
  • Users value the seamless data integration and user-friendly interface of IBM watsonx.data for efficient analytics.
  • Users appreciate the organized and efficient data management of IBM watsonx.data, simplifying analytics and enhancing team collaboration.
  • Users value the seamless data source integration of IBM watsonx.data, enhancing efficiency and flexibility in their workflows.
  • Users appreciate the flexible analytics capabilities of IBM watsonx.data, enabling faster insights from diverse data sources.
Cons
  • Users find the steep learning curve of IBM watsonx.data challenging, hindering easy adoption for newcomers.
  • Users find the complexity of setting up IBM watsonx.data a barrier, especially for newcomers and small teams.
  • Users find the pricing steep for IBM watsonx.data, especially for smaller businesses with limited resources.
  • Users find the difficult setup process time-consuming, with a steep learning curve and extensive documentation review required.
  • Users find performance tuning difficult with IBM watsonx.data, especially for beginners and teams with limited IT resources.

What Are Recent G2 Reviews of IBM watsonx.data?

Google Cloud BigQuery

BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.

Average Rating: 4.5/5.0

Total Reviews: 1,144

How Do G2 Users Rate Google Cloud BigQuery?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.1/10)
  • Automation: 8.8/10 (Category avg: 9.0/10)
  • Scalability: 9.3/10 (Category avg: 8.7/10)
  • Auditing: 8.3/10 (Category avg: 8.2/10)

Who Is the Company Behind Google Cloud BigQuery?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Large, 35% Medium

What Do G2 Reviewers Say About Google Cloud BigQuery?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Google Cloud BigQuery, enabling fast analysis without needing to manage infrastructure.
  • Users appreciate the incredible speed of BigQuery, making data processing effortless and efficient for large datasets.
  • Users value the seamless integrations of Google Cloud BigQuery, enhancing analytics and supporting various data types effortlessly.
  • Users appreciate the fast querying capabilities of Google Cloud BigQuery, enabling quick analysis of massive datasets effortlessly.
  • Users value the query efficiency of BigQuery, enabling fast analysis of massive datasets with minimal effort.
Cons
  • Users find the cost structure expensive, especially with complex queries leading to rapidly escalating charges.
  • Users often face query issues with BigQuery, as inefficient queries can rapidly increase costs and complicate budgeting.
  • Users find the cost management challenging, facing unpredictable pricing and needing strict governance to maintain budgets.
  • Users face cost issues with Google Cloud BigQuery, often leading to unexpectedly high bills and budget management challenges.
  • Users find the steep learning curve for advanced features challenging, requiring significant time and effort to master.

What Are Recent G2 Reviews of Google Cloud BigQuery?

What Are G2 Users Discussing About Google Cloud BigQuery?

Coupler.io

Coupler.io is a no-code data integration platform that provides instant access to 400+ sources and a world of insights — all in one place. It allows you to collect data from various cloud sources, transform it, and load it into spreadsheets, BI tools, data warehouses, and AI agents. No complex setup or deep technical expertise required. Trusted by 1M+ users, including companies like Uber, Netflix, and Airbus, Coupler.io streamlines data processes for marketers, data analysts, business owners, sales teams, e-commerce businesses, and financial professionals. With 1800+ ready-made integrations, Coupler.io allows you to automatically collect data from Google Analytics, Facebook Ads, GoHighLevel, Shopify, QuickBooks, and many other apps. You can blend data from multiple sources into Google Sheets, Looker Studio, Power BI, BigQuery, Claude, ChatGPT, and other destinations. Coupler.io makes data transformation easy with data joining and appending functions, filtering, formulas, and data set templates. To quick-start with reporting, explore Coupler.io's in-app dashboards and free dashboard templates gallery for third-party tools. You can also build custom dashboards from scratch. AI Insights interprets dashboards in seconds, highlighting trends and anomalies and providing actionable recommendations. Coupler.io's AI integrations enable real-time analysis of large, blended data through natural language conversations in AI chats. These allow businesses to make data-driven decisions, scale operations, and improve reporting efficiency. Coupler.io is a SOC 2-certified, reliable platform that follows the highest data security and privacy standards to keep your data protected. Take full control of your data, identify what works, and scale it with Coupler.io for holistic data management and analysis!

Average Rating: 4.8/5.0

Total Reviews: 104

How Do G2 Users Rate Coupler.io?

  • Has the product been a good partner in doing business?: 9.5/10 (Category avg: 9.1/10)
  • Automation: 9.7/10 (Category avg: 9.0/10)
  • Scalability: 8.9/10 (Category avg: 8.7/10)
  • Auditing: 8.3/10 (Category avg: 8.2/10)

Who Is the Company Behind Coupler.io?

  • Seller: Railsware
  • Year Founded: 2007
  • HQ Location: Pasadena, CA, USA
  • Twitter: @railsware
    2,116 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    175 employees on LinkedIn®
  • Ownership: Private

Who Uses This Product?

  • Top Industries: Non-Profit Organization Management, Marketing and Advertising
  • Company Size: 67% Small, 28% Medium

What Do G2 Reviewers Say About Coupler.io?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Coupler.io, enabling seamless data integration without complex setups.
  • Users highlight the incredible time savings with Coupler.io, reducing tasks from hours to mere seconds.
  • Users commend Coupler.io for its powerful automation, significantly enhancing reporting speed and reducing manual work.
  • Users value the massive integration library of Coupler.io, enabling quick connections to various platforms for efficient workflows.
  • Users value the seamless data integration capabilities of Coupler.io, significantly enhancing their reporting efficiency and analytics.
Cons
  • Users find the difficult setup of Coupler.io challenging, particularly for complex data models and niche integrations.
  • Users find the complex setup of Coupler.io cumbersome, requiring trial and error for advanced configurations.
  • Users experience a small learning curve with data schemas and interfaces, but it improves significantly with familiarity.
  • Users find Coupler.io to be quite expensive, especially for smaller teams needing multiple connections.
  • Users note a lack of information in Coupler.io, particularly for advanced features and complex data models.

What Are Recent G2 Reviews of Coupler.io?

What Are G2 Users Discussing About Coupler.io?

5X

5X is an end-to-end data and AI platform. The platform organizes your data regardless of source or format. Whether you have a dedicated data team or not, our platform
transforms fragmented data into actionable insights and apps. The customer feedback we get most often is, "This is self-explanatory," and "It's super easy to use." And that is exactly what our goal was—to create a powerful, all-in-one platform that's incredibly easy to use.  The modern data stack has evolved. It's no longer about stitching together vendors. The next-generation modern data stack is an all-in-one platform that offers speed, simplicity, and decreased cost of ownership. That's exactly what we have created at 5X. Companies use 5X for multiple reasons: 1) Speed & productivity. All-in-one data platforms are incredibly efficient. We've seen companies build use cases on day 1.  Contact us to see if you qualify for a free 48 hour jumpstart! 🚀 2) Decrease your total cost of ownership by 30% compared to building your own platform. This doesn't account the people hours needed to support a platform build 🤯 3) Use our full stack data consultancy for support on data engineering & analytics 👨‍💻 5X was founded in 2020 with presence in the USA, Singapore, UK and India. Our global team is 70+ people strong and rapidly growing. We’ve recently raised our seed round from Flybridge Capital and backed by top founders from companies like Datadog, Preset, Astronomer, Mode, Rudderstack and other prominent angel investors. For more information, visit 5X.co We don't just talk about speed and simplicity; we back it up with proof. Speak to us about our 48-hour jumpstart where we can build an end-to-end use case for you in 48 hours for free.

Average Rating: 4.9/5.0

Total Reviews: 81

How Do G2 Users Rate 5X?

  • Has the product been a good partner in doing business?: 9.8/10 (Category avg: 9.1/10)
  • Automation: 9.5/10 (Category avg: 9.0/10)
  • Scalability: 9.5/10 (Category avg: 8.7/10)
  • Auditing: 9.4/10 (Category avg: 8.2/10)

Who Is the Company Behind 5X?

  • Seller: 5X
  • Year Founded: 2020
  • HQ Location: San Francisco
  • Twitter: @DataWith5x
    49 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    104 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 56% Medium, 40% Small

What Do G2 Reviewers Say About 5X?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of 5X, thanks to its intuitive interface and seamless integration with existing tools.
  • Users appreciate the responsive customer support of 5X, enhancing their overall experience with swift feature updates.
  • Users value the seamless integration capabilities of 5X, enhancing efficiency in managing diverse data sources effortlessly.
  • Users value the easy integrations of 5X, which enhance their data ingestion processes and overall operational efficiency.
  • Users value the seamless integration and intuitive design of 5X, enabling efficient data management and automation.
Cons
  • New users face a steep learning curve, but training helps ease the transition to the platform's features.
  • Users find the setup process complex, leading to delays and challenges in implementing advanced features and workflows.
  • Users find a steep learning curve initially, but become proficient with training and support over time.
  • Users find the difficult setup of 5X challenging due to complexity and a steep learning curve.
  • Users note the feature limitations of 5X, as some advanced options are still in development and may require patience.

What Are Recent G2 Reviews of 5X?

Funnel

Funnel is the marketing intelligence platform for organizations that need dependable marketing data everywhere decisions are made. Funnel collects, stores and prepares marketing data from every source, then makes it available for reporting, measurement, AI workflows and your BI tools or warehouse, all from one trusted foundation. Consistent definitions and complete historical data mean the numbers hold up no matter where the data is used. Data Hub is the core platform. Measure adds marketing mix modeling, attribution and incrementality testing on top.

Average Rating: 4.5/5.0

Total Reviews: 189

How Do G2 Users Rate Funnel?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 9.1/10)
  • Automation: 8.9/10 (Category avg: 9.0/10)
  • Scalability: 8.6/10 (Category avg: 8.7/10)
  • Auditing: 7.0/10 (Category avg: 8.2/10)

Who Is the Company Behind Funnel?

  • Seller: Funnel
  • Company Website:
  • Year Founded: 2014
  • HQ Location: Stockholm, Sweden
  • Twitter: @funnel_io
    21 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    393 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Marketing and Advertising, Retail
  • Company Size: 47% Small, 43% Medium

What Do G2 Reviewers Say About Funnel?

AI-generated summary from verified user reviews

Pros
  • Users find Funnel's ease of use remarkable, streamlining data integration and reporting effortlessly across platforms.
  • Users love the seamless integrations Funnel offers, effortlessly centralizing data from numerous platforms for clear insights.
  • Users love the easy data integration of Funnel, seamlessly connecting marketing and analytics platforms for unified insights.
  • Users value the user-friendly data management capabilities of Funnel, simplifying data centralization and workflow customization.
  • Users appreciate the extensive number of connectors Funnel offers, making integration with various platforms straightforward and beneficial.
Cons
  • Users find the learning curve challenging initially, particularly with data source configurations and connections.
  • Users feel the product is expensive, particularly when needing integrations and facing additional fees for basic connectors.
  • Users find limited connectors and scalability issues frustrating, affecting the overall efficiency of their data integration tasks.
  • Users find missing features in Funnel, such as limited scalability and basic connector fees, frustrating their overall experience.
  • Users experience slow performance, especially with processing time for large data volumes and limited scalability.

What Are Recent G2 Reviews of Funnel?

What Are G2 Users Discussing About Funnel?

Weld

Weld delivers an ultra-fast, secure, and reliable way to move data from all your tools, applications, and databases into cloud data warehouses, such as Snowflake, BigQuery, and Databricks. Deploy data pipelines in minutes with connectors that adapt to schema changes, detect duplicates, self-heal on failure, and run without maintenance, so your data team can focus on insights, not infrastructure.

Average Rating: 4.8/5.0

Total Reviews: 107

How Do G2 Users Rate Weld?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 9.1/10)
  • Automation: 8.9/10 (Category avg: 9.0/10)
  • Scalability: 9.2/10 (Category avg: 8.7/10)
  • Auditing: 7.9/10 (Category avg: 8.2/10)

Who Is the Company Behind Weld?

  • Seller: Weld
  • Company Website:
  • Year Founded: 2021
  • HQ Location: Copenhagen, DK
  • Twitter: @WeldHQ
    98 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    94 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO
  • Top Industries: Computer Software, Retail
  • Company Size: 58% Small, 41% Medium

What Do G2 Reviewers Say About Weld?

AI-generated summary from verified user reviews

Pros
  • Users praise the excellent customer support of Weld, noting quick resolutions and a highly responsive team.
  • Users admire the ease of use of Weld, appreciating its seamless integration and intuitive setup process.
  • Users praise Weld's automation capabilities, enabling efficient data integration and analysis with minimal technical expertise required.
  • Users appreciate the exceptional support from Weld, along with its easy setup and helpful AI assistant features.
  • Users value the easy implementation and seamless integration of Weld, significantly enhancing their workflow and efficiency.
Cons
  • Users find the limited connectors on the basic plan restrictive, though many needs are still met with Weld.
  • Users find the connector limitations in Weld's basic plan restrictive, impacting their ability to integrate fully.
  • Users find the limited integrations in Weld somewhat restrictive, affecting their connectivity and experience.
  • Users find complex setup challenging, especially in tracking properties and debugging intricate queries effectively.
  • Users experience occasional connection issues with Weld that can impact sync reliability and require manual adjustments.

What Are Recent G2 Reviews of Weld?

Boost.space

Boost.space is the #1 AI-Ready Data Sync platform on G2—recognized with over 100 customer-voted badges. ⭐️ Today's enterprises are investing heavily in AI, but most initiatives fail. Why? Because AI is "stateless"—it has no memory—and it's running on chaotic data fragmented across hundreds of applications. This data chaos costs companies an average of $15 million annually and wastes nearly 12 hours per employee every week.   Boost.space solves this foundational problem by creating a new category of enterprise infrastructure: the AI Memory Layer. We are not just another application; we are the persistent, unified memory that your entire AI and automation ecosystem needs to function intelligently. Our platform connects to over 2,400 apps to dismantle data silos, creating a single source of truth (SSOT) for all your business data. But unlike passive data warehouses, Boost.space is an active, read-write memory. Our real-time, three-way synchronization engine allows AI agents to not only read unified data but also act on it by writing changes back to your operational tools. At the heart of this is our Model Context Protocol (MCP), an "AI-Ready USB-C Port" for your enterprise that allows you to prompt your business in natural language. Whether you're building an AI-Ready PIM for e-commerce or an AI-Ready CDP for marketing, Boost.space provides the essential foundation, trusted by leaders like ŠKODA to make their data AI-ready.

Average Rating: 4.6/5.0

Total Reviews: 327

How Do G2 Users Rate Boost.space?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.1/10)
  • Automation: 9.8/10 (Category avg: 9.0/10)
  • Scalability: 9.3/10 (Category avg: 8.7/10)
  • Auditing: 8.6/10 (Category avg: 8.2/10)

Who Is the Company Behind Boost.space?

  • Seller: Boost.space s.r.o.
  • Year Founded: 2017
  • HQ Location: Prague, CZ
  • Twitter: @boostspace
    79 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    35 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO, Founder
  • Top Industries: Marketing and Advertising, Consulting
  • Company Size: 99% Small, 1% Medium

What Do G2 Reviewers Say About Boost.space?

AI-generated summary from verified user reviews

Pros
  • Users value the seamless integrations of Boost.space, enhancing productivity by connecting multiple platforms effortlessly.
  • Users benefit from Boost.space's automation capabilities, efficiently streamlining tasks and reducing operational costs.
  • Users love the seamless integrations of Boost.space, which unify workflows and enhance collaboration across multiple platforms.
  • Users appreciate the excellent integration options and user-friendly interface of Boost.space, simplifying their workflow.
  • Users appreciate the easy integration capabilities of Boost.space, enabling seamless connectivity between multiple platforms.
Cons
  • Users report a high learning curve with Boost.space, requiring time and technical skills to effectively use the platform.
  • Users note a steep learning curve initially, requiring time to adapt and understand the interface effectively.
  • Users find the learning difficulty of Boost.space challenging, requiring significant time investment to navigate its complexities.
  • Users find the complex setup challenging, often needing time and potential technical support to integrate effectively.
  • Users find the beginner difficulty daunting, emphasizing the need for better onboarding and tutorials to ease navigation.

What Are Recent G2 Reviews of Boost.space?

Coefficient

Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets.

Average Rating: 4.7/5.0

Total Reviews: 200

How Do G2 Users Rate Coefficient?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.1/10)
  • Automation: 9.3/10 (Category avg: 9.0/10)
  • Scalability: 9.3/10 (Category avg: 8.7/10)
  • Auditing: 8.6/10 (Category avg: 8.2/10)

Who Is the Company Behind Coefficient?

  • Seller: Coefficient
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Palo Alto, CA
  • Twitter: @coefficient_io
    346 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    70 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Medium, 36% Small

What Do G2 Reviewers Say About Coefficient?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Coefficient, enjoying seamless data extraction and hassle-free synchronization across tools.
  • Users value the automation capabilities of Coefficient, making data management effortless and efficient.
  • Users appreciate the seamless integrations of Coefficient, enabling effortless data flow between systems like Salesforce and QuickBooks.
  • Users value the time-saving automation of Coefficient, reclaiming hours in their weekly reporting tasks.
  • Users find easy integrations with Coefficient seamless, enhancing productivity and simplifying their data workflow considerably.
Cons
  • Users find the limited filtering options in Coefficient restrictive and detrimental to their data analysis experience.
  • Users find the feature limitations of Coefficient frustrating, particularly with filtering and integration challenges.
  • Users find the limit of Google Sheets for multiple filters and imports restricts their data management capabilities.
  • Users find the missing features in Coefficient limiting, especially with filters and integrating charts from SFDC.
  • Users face integration issues with Coefficient, leading to frustrating limitations when connecting to other tools and systems.

What Are Recent G2 Reviews of Coefficient?

KNIME

KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice.

Average Rating: 4.5/5.0

Total Reviews: 117

How Do G2 Users Rate KNIME?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 9.1/10)
  • Automation: 10.0/10 (Category avg: 9.0/10)
  • Scalability: 10.0/10 (Category avg: 8.7/10)
  • Auditing: 10.0/10 (Category avg: 8.2/10)

Who Is the Company Behind KNIME?

  • Seller: KNIME
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Zurich, Switzerland
  • Twitter: @knime
    7,998 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    244 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Higher Education
  • Company Size: 39% Large, 34% Medium

What Do G2 Reviewers Say About KNIME?

AI-generated summary from verified user reviews

Pros
  • Users find KNIME's ease of use enhances productivity, enabling even non-technical individuals to build workflows effortlessly.
  • Users find KNIME's coding ease remarkable, enabling effortless workflows without requiring extensive technical skills.
  • Users find KNIME to be an easy-to-learn platform, enabling quick workflow creation without coding skills.
  • Users find KNIME easy to learn and start delivering results, thanks to its intuitive visual workflow interface.
  • Users love the easy and intuitive data visualization capabilities of KNIME, enhancing understanding and communication of data insights.
Cons
  • Users find the initial learning curve challenging, especially for those unfamiliar with data science concepts and visual programming.
  • Users face memory usage issues with KNIME, leading to slow performance, especially with larger files and operations.
  • Users report storage limitations with KNIME, leading to performance issues and difficulties with large datasets.
  • Users note that data management issues hinder their experience, especially with file handling and certain databases.
  • Users find the lack of learning resources for KNIME to be a significant barrier to effective usage.

What Are Recent G2 Reviews of KNIME?

What Are G2 Users Discussing About KNIME?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated