Best ETL Tools - Page 2

How Many ETL Tools Products Does G2 Track?

Total Products under this Category: 285

Category Stats (Oct 2026)

  • Average Rating: 4.55/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: csvbox.io (+1.01%) - Among all products in this category, csvbox.io recorded the largest rating increase compared to last month

Last updated: October 13, 2026

How Does G2 Rank ETL Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 20,200+ Authentic Reviews
  • 285+ 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: Databricks, Alteryx, Celigo, Google Cloud BigQuery, Fivetran, FME Platform, Informatica Data Integration and Engineering, and Funnel.

Underlying data: [Grid® JSON](https://www.g2.com/categories/etl-tools/grids.json?focus%5B%5D=databricks&focus%5B%5D=alteryx&focus%5B%5D=celigo&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=fivetran&focus%5B%5D=fme-platform&focus%5B%5D=informatica-data-integration-and-engineering&focus%5B%5D=funnel)

Azure Data Factory

Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems. Key Features and Functionality: - Extensive Connectivity: ADF offers over 90 built-in connectors, allowing integration with a wide array of data sources, including relational databases, NoSQL systems, SaaS applications, APIs, and cloud storage services. - Code-Free Data Transformation: Utilizing mapping data flows powered by Apache Spark™, ADF enables users to perform complex data transformations without writing code, streamlining the data preparation process. - SSIS Package Rehosting: Organizations can easily migrate and extend their existing SQL Server Integration Services (SSIS) packages to the cloud, achieving significant cost savings and enhanced scalability. - Scalable and Cost-Effective: As a serverless service, ADF automatically scales to meet data integration demands, offering a pay-as-you-go pricing model that eliminates the need for upfront infrastructure investments. - Comprehensive Monitoring and Management: ADF provides robust monitoring tools, allowing users to track pipeline performance, set up alerts, and ensure efficient operation of data workflows. Primary Value and User Solutions: Azure Data Factory addresses the complexities of modern data integration by providing a unified platform that connects disparate data sources, automates data workflows, and facilitates advanced data transformations. This empowers organizations to derive actionable insights from their data, enhance decision-making processes, and accelerate digital transformation initiatives. By offering a scalable, cost-effective, and code-free environment, ADF reduces the operational burden on IT teams and enables data engineers and business analysts to focus on delivering value through data-driven strategies.

Average Rating: 4.6/5.0

Total Reviews: 96

How Do G2 Users Rate Azure Data Factory?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 9.1/10)
  • Automation: 9.2/10 (Category avg: 9.0/10)
  • Scalability: 9.1/10 (Category avg: 8.7/10)
  • Auditing: 8.4/10 (Category avg: 8.2/10)

Who Is the Company Behind Azure Data Factory?

  • 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?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 59% Large, 31% Medium

What Do G2 Reviewers Say About Azure Data Factory?

AI-generated summary from verified user reviews

Pros
  • Users value the seamless data integration capabilities of Azure Data Factory, simplifying complex workflows across multiple sources.
  • Users value the ease of use of Azure Data Factory, simplifying data integration with a low-code, visual interface.
  • Users highlight the ease of connecting various data sources in Azure Data Factory, simplifying data integration significantly.
  • Users value the seamless integration capabilities of Azure Data Factory for efficient data movement and automation.
  • Users value the scalability of Azure Data Factory, enabling seamless integration and management of large data workflows effortlessly.
Cons
  • Users find debugging difficult in Azure Data Factory, citing limitations and a complex experience for troubleshooting pipelines.
  • Users find difficult debugging in Azure Data Factory frustrating, particularly with complex pipelines and limited troubleshooting tools.
  • Users find Azure Data Factory expensive due to potential high costs from large data volumes and frequent pipeline usage.
  • Users find feature limitations in Azure Data Factory, particularly in logging, monitoring, and complex transformations.
  • Users express frustration with the complexity of Azure Data Factory, citing challenges in debugging and managing intricate workflows.

What Are Recent G2 Reviews of Azure Data Factory?

What Are G2 Users Discussing About Azure Data Factory?

IBM StreamSets

IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured, unstructured, and semi-structured data from streaming sources, and reliably delivers trusted data into diverse destinations. Flexible deployment options promote security, cost-effectiveness and performance. With several pre-built connectors, an intuitive no-code/low-code interface, and automatic adaptability to data drifts, StreamSets accelerates data pipeline operationalization. It integrates with IBM’s broader data integration capabilities, enabling reliable pipelines that unify multiple data integration patterns, underpinned by data observability capabilities for continuous data quality monitoring and remediation. That’s why the largest companies in the world trust StreamSets to power millions of data pipelines for modern analytics, data science, smart applications, and hybrid integration.

Average Rating: 4.0/5.0

Total Reviews: 113

How Do G2 Users Rate IBM StreamSets?

  • Has the product been a good partner in doing business?: 8.2/10 (Category avg: 9.1/10)
  • Automation: 7.7/10 (Category avg: 9.0/10)
  • Scalability: 7.5/10 (Category avg: 8.7/10)
  • Auditing: 7.2/10 (Category avg: 8.2/10)

Who Is the Company Behind IBM StreamSets?

  • Seller: IBM
  • 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®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 43% Large, 34% Medium

What Do G2 Reviewers Say About IBM StreamSets?

AI-generated summary from verified user reviews

Pros
  • Users find IBM StreamSets to offer ease of use with its intuitive interface and beginner-friendly pipeline creation.
  • Users appreciate the user-friendly drag-and-drop interface of IBM StreamSets, enhancing pipeline visualization and debugging efficiency.
  • Users love the effective data management capabilities of IBM StreamSets, simplifying pipeline creation and monitoring across environments.
  • Users appreciate the simplicity of data integration workflows in IBM StreamSets, enjoying its intuitive visual pipeline design.
  • Users appreciate the wide range of integrations in IBM StreamSets, enhancing real-time data handling and simplifying workflows.
Cons
  • Users struggle with the steep learning curve of IBM StreamSets, highlighting the need for deeper technical knowledge and better guidance.
  • Users find the cost of IBM StreamSets to be a concern, especially for smaller teams with limited budgets.
  • Users find the learning difficulty of advanced features in StreamSets challenging, impacting onboarding and overall experience.
  • Users experience slow performance with IBM StreamSets, particularly when managing large data volumes or complex configurations.
  • Users struggle with the steep learning curve of IBM StreamSets, requiring deep technical knowledge to use advanced features.

What Are Recent G2 Reviews of IBM StreamSets?

What Are G2 Users Discussing About IBM StreamSets?

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: 203

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, 35% 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?

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Coupler.io

Coupler.io is a no-code data integration platform that connects 400+ sources and turns them into insights, all in one place. Collect data from your cloud apps, transform it, and load it into spreadsheets, BI tools, data warehouses, or AI agents. No complex setup or technical expertise required. Trusted by 1M+ users at companies like Uber, Netflix, and Airbus, Coupler.io helps marketers, analysts, business owners, sales teams, ecommerce brands, and finance professionals automate their data workflows. With 1,800+ ready-made integrations, you can automatically pull data from Google Ads, Facebook Ads, TikTok Ads, Amazon Ads, Google Analytics, Shopify, QuickBooks, and many more. Blend data from multiple sources and send it to Google Sheets, Looker Studio, Power BI, BigQuery, Claude, ChatGPT, and other destinations. Built-in transformations make data prep simple: join and append data sets, filter, add formulas, or start from ready-made templates. To get reporting off the ground fast, use Coupler.io’s in-app dashboards, browse the free template gallery for third-party BI tools, or build your own dashboards from scratch. Coupler.io is SOC 2 certified and follows the highest standards of data security and privacy to keep your data protected. Take full control of your data, see what works, and scale it with Coupler.io.

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
    172 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?

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: 128

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
    473 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% 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?

Parabola

Prowork by Parabola is the AI-native platform for the long tail of finance and operations. It helps the people closest to each process turn scattered operational data and undocumented, changing logic into visible, code-backed Flows. Teams can get a useful analysis or Artifact immediately, validate the implementation on live data, deploy it as a managed agent, and continuously improve it. Prowork is built for whole operational datasets and gives IT the permissions, monitoring, lineage, version history, and controls required for production.

Average Rating: 4.9/5.0

Total Reviews: 75

How Do G2 Users Rate Parabola?

  • Has the product been a good partner in doing business?: 9.8/10 (Category avg: 9.1/10)
  • Automation: 9.6/10 (Category avg: 9.0/10)
  • Scalability: 9.3/10 (Category avg: 8.7/10)
  • Auditing: 8.0/10 (Category avg: 8.2/10)

Who Is the Company Behind Parabola?

  • Seller: Parabola
  • Year Founded: 2017
  • HQ Location: San Francisco, CA
  • Twitter: @parabolahq
  • LinkedIn® Page: www.linkedin.com
    79 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Consumer Goods, Computer Software
  • Company Size: 51% Medium, 39% Small

What Do G2 Reviewers Say About Parabola?

AI-generated summary from verified user reviews

Pros
  • Users value the effortless automation capabilities of Parabola, streamlining tasks and enhancing productivity remarkably.
  • Users find the ease of use in Parabola exceptional, enabling efficient automation without a coding background.
  • Users find Parabola's intuitive interface empowering, facilitating easy automation of tasks without any coding experience.
  • Users value the time-saving automation capabilities of Parabola, significantly enhancing their team's efficiency and productivity.
  • Users highly value the time-saving capabilities of Parabola, significantly streamlining their data workflows and processes.
Cons
  • Users find the limitations in data manipulation steps can make building flows more complicated and time-consuming.
  • Users experience a steep learning curve with Parabola, making initial use challenging, but progress improves afterwards.
  • Users find that time consumption in Parabola can hinder efficiency and extend deployment timelines despite eventual reliability.
  • Users often face data inaccuracy issues with Parabola, requiring double-checks to ensure report reliability.
  • Users express frustration with the limited export options, especially regarding large datasets and data rewriting issues.

What Are Recent G2 Reviews of Parabola?

What Are G2 Users Discussing About Parabola?

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?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.1/10)
  • Automation: 9.4/10 (Category avg: 9.0/10)
  • Scalability: 9.2/10 (Category avg: 8.7/10)
  • Auditing: 8.3/10 (Category avg: 8.2/10)

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?

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?

Matia

Matia is a data operations platform that enables modern data teams to build, manage, and monitor end-to-end data pipelines in one place. Matia allows data teams to spend time managing their data, instead of their tools. Matia combines ingestion, reverse ETL, data cataloging, and observability into a single, unified interface. Rather than stitching together multiple tools for data movement, observability, and metadata tracking, teams use Matia to streamline their workflow, reduce vendor bloat, and improve data trust across the organization. Common use cases include syncing operational data into warehouse destinations, monitoring pipeline health with built-in alerts, documenting data assets automatically, and aligning data delivery with business-critical SLAs. Teams adopt Matia to simplify their stack, reduce engineering overhead, and create more transparent, reliable data infrastructure.

Average Rating: 4.9/5.0

Total Reviews: 36

How Do G2 Users Rate Matia?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 9.1/10)
  • Automation: 9.9/10 (Category avg: 9.0/10)
  • Scalability: 9.8/10 (Category avg: 8.7/10)
  • Auditing: 9.6/10 (Category avg: 8.2/10)

Who Is the Company Behind Matia?

  • Seller: Matia
  • Year Founded: 2023
  • HQ Location: Miami, US
  • LinkedIn® Page: linkedin.com
    61 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer
  • Top Industries: Financial Services, Computer Software
  • Company Size: 61% Medium, 25% Small

What Do G2 Reviewers Say About Matia?

AI-generated summary from verified user reviews

Pros
  • Users commend Matia for its exceptional customer support, ensuring quick responses and efficient solutions to meet their needs.
  • Users highlight the ease of use of Matia, appreciating its intuitive UI and seamless integration process.
  • Users commend Matia for its exceptional support and user-friendly UI, making integration and migrations seamless and efficient.
  • Users find Matia's implementation ease remarkable, with quick responses and seamless integration into existing workflows.
  • Users highlight the easy integrations of Matia, allowing seamless setup and collaboration within existing systems.
Cons
  • Users note the limited connectors currently available but appreciate the team's effort to expand integrations quickly.
  • Users find Matia's interface not user-friendly, experiencing difficulties with loading speed and complexity in navigation.
  • Users find the UI to be unintuitive and sluggish, impacting overall user experience and efficiency.
  • Users note limited features in Matia compared to competitors, but improvements and support are on the rise.
  • Users note the limited integration options of Matia, wishing for more data connections for enhanced functionality.

What Are Recent G2 Reviews of Matia?

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: 125

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
    245 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Higher Education
  • Company Size: 43% Large, 31% 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?

Adverity

Adverity is the marketing data intelligence company seen as the foundation that makes enterprise marketing AI work. Adverity Connect is an enterprise-grade marketing ETL. It pulls data from 600+ sources, harmonizes it so metrics are comparable across platforms, monitors it continuously for quality, and delivers it into the customer's warehouse. The data foundation for marketing. Adverity Atlas is a marketing knowledge layer. It sits on top of any data warehouse and gives AI the knowledge and context to work accurately on marketing data. Use it through the UI and it works as an autonomous marketing analyst. Connect it to your own AI program and it becomes the knowledge layer your agents run on. Connect builds the data foundation. Adverity Atlas is the knowledge layer that makes marketing AI work. Built from a decade of enterprise brand and agency deployments representing over $80 billion in managed ad spend.

Average Rating: 4.4/5.0

Total Reviews: 316

How Do G2 Users Rate Adverity?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.1/10)
  • Automation: 9.1/10 (Category avg: 9.0/10)
  • Scalability: 8.3/10 (Category avg: 8.7/10)
  • Auditing: 7.9/10 (Category avg: 8.2/10)

Who Is the Company Behind Adverity?

  • Seller: Adverity GmbH
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Vienna, Austria
  • Twitter: @myadverity
    1,757 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    332 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Data Engineer
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 44% Medium, 38% Small

What Do G2 Reviewers Say About Adverity?

AI-generated summary from verified user reviews

Pros
  • Users find Adverity's platform to be incredibly easy to use, enhancing data integration and minimizing management headaches.
  • Users appreciate the easy centralization and standardization of data, enhancing marketing and business insights effectively.
  • Users value the extensive integrations of Adverity, enabling seamless connection to various data sources and tools.
  • Users value the easy integrations in Adverity, streamlining data centralization from various sources effortlessly.
  • Users commend the responsive customer support of Adverity, ensuring timely assistance and effective solutions during setup and beyond.
Cons
  • Users experience time-consuming processes with Adverity, particularly when dealing with large-scale data pipelines and automation delays.
  • Users experience data management issues with unrecoverable mistakes and difficulty in tracking changes, impacting usability.
  • Users experience a lack of information due to unclear error messages and insufficient ticket follow-up, causing frustration.
  • Users experience time delays in data pipeline processes, impacting efficiency and confidence in scalability and reporting.
  • Users warn of a difficult learning curve with Adverity, requiring more support for effective use of its features.

What Are Recent G2 Reviews of Adverity?

What Are G2 Users Discussing About Adverity?

AWS Glue

AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application develop-ment. You can discover and connect to 70+ diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes. You can im-mediately search and query catalogued data using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum.

Average Rating: 4.3/5.0

Total Reviews: 194

How Do G2 Users Rate AWS Glue?

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

Who Is the Company Behind AWS Glue?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    148,266 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 49% Large, 29% Medium

What Do G2 Reviewers Say About AWS Glue?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of AWS Glue, finding it simple for data preparation and ETL operations.
  • Users value the s seamless data integration capabilities of AWS Glue, enhancing efficiency across analytics and application development.
  • Users appreciate the fully managed ETL service of AWS Glue, enjoying seamless integration and ease of use.
  • Users appreciate the versatile functionality of AWS Glue, simplifying data discovery, preparation, and analytics integration.
  • Users appreciate the ease of implementation and effective support of AWS Glue for seamless data integration and error tracing.
Cons
  • Users experience slow performance with AWS Glue, particularly in startup times and complex debugging processes.
  • Users face difficulties in debugging AWS Glue due to unclear error messages and a steep learning curve.
  • Users often face difficult debugging with AWS Glue, as error messages are not always clear and can be frustrating.
  • Users experience performance issues with AWS Glue, such as slow startup times and complex debugging processes.
  • Users note that AWS Glue can be time-consuming due to slow startup times and complex debugging processes.

What Are Recent G2 Reviews of AWS Glue?

What Are G2 Users Discussing About AWS Glue?

HubSpot Data Hub

Data Hub connects, cleanses, and automates customer data across the HubSpot CRM, providing operations teams with tools to maintain data quality, ensure system integration, and streamline business processes. Core Value Proposition: Data Hub addresses critical operational challenges: disconnected data across applications, manual data entry consuming team time, data quality issues undermining business decisions, and complex automation requirements existing tools cannot handle. The platform offers native integrations with other applications to create a more efficient, aligned, and agile business. Key Capabilities: Data Integration: Data Hub connects contacts, leads, and company data between HubSpot and external applications bidirectionally and in real-time. This creates a unified customer data foundation rather than requiring manual data transfer. Data Quality Management: The platform includes tools that maintain a clean database, allowing operations teams to save hours of manual data validation and correction work. Process Automation: Data Hub enables complex business process automation across systems, connecting trigger events in one application to automated actions in another. This streamlines internal workflows and reduces manual coordination. Unified Customer View: By connecting all customer data sources to the HubSpot CRM platform, Data Hub creates a single source of truth that sales, marketing, and service teams can reference for customer interactions. Data Hub vs. Alternatives: Unlike standalone integration platforms (iPaaS) requiring technical expertise to configure and maintain, Data Hub provides native HubSpot integration with a visual interface designed for operations professionals rather than developers. This reduces implementation time and ongoing maintenance requirements. Data Hub eliminates manual data entry and data validation by automating these workflows. The platform guarantees up-to-date data and maintains a clean database without constant manual intervention. Who Should Use Data Hub: Data Hub serves operations teams managing data across multiple systems, organizations experiencing data quality issues affecting business decisions, and companies needing to automate complex cross-system workflows without extensive technical resources. The platform enables business agility as organizations grow. Outcome: Data Hub supercharges your HubSpot CRM with a complete toolkit to connect, clean, and automate customer data, uniting all customer data into one connected platform that results in a friction-free customer experience.

Average Rating: 4.5/5.0

Total Reviews: 622

How Do G2 Users Rate HubSpot Data Hub?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 9.1/10)
  • Automation: 8.3/10 (Category avg: 9.0/10)
  • Scalability: 10.0/10 (Category avg: 8.7/10)
  • Auditing: 8.9/10 (Category avg: 8.2/10)

Who Is the Company Behind HubSpot Data Hub?

  • Seller: HubSpot
  • Company Website:
  • Year Founded: 2006
  • HQ Location: Cambridge, Massachusetts, United States
  • Twitter: @HubSpot
    784,270 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    17,628 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO, Owner
  • Top Industries: Information Technology and Services, Marketing and Advertising
  • Company Size: 64% Small, 32% Medium

What Do G2 Reviewers Say About HubSpot Data Hub?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the user-friendly interface of HubSpot Data Hub, making information easily accessible and operations efficient.
  • Users value the two-way data sync of HubSpot Data Hub, enhancing efficiency and collaboration across teams.
  • Users benefit from automation capabilities in HubSpot Data Hub, significantly streamlining tasks and enhancing overall efficiency.
  • Users value the two-way data sync across platforms, enhancing efficiency and ensuring accurate, consistent information for teams.
  • Users appreciate the efficiency of HubSpot Data Hub, streamlining data management and reducing workflow complexities.
Cons
  • Users find the limitations in data handling frustrating, particularly regarding external data integration and processing capabilities.
  • Users find the missing features in HubSpot Data Hub limit their ability to manage complex contact data effectively.
  • Users find the learning curve steep, especially when unfamiliar with workflow automation, affecting overall usability.
  • Users find HubSpot Data Hub fairly expensive, particularly for small teams wanting advanced features and customization.
  • Users find the complexity of reporting and data tracking in HubSpot Data Hub to be challenging and frustrating.

What Are Recent G2 Reviews of HubSpot Data Hub?

What Are G2 Users Discussing About HubSpot Data Hub?

Peliqan

Peliqan.io is an all-in-one AI-first data integration and automation platform designed for business teams, scale-ups and consultants. Unlike traditional data tools that demand heavy engineering effort, Peliqan enables both business users and technical teams to connect, manage, and activate their data in one collaborative environment - without requiring a dedicated data engineer. With 300+ built-in connectors, Peliqan connects to databases, SaaS business applications (ERP, CRM, Accounting, HRM/ATS etc.), cloud storage, files and APIs as well as on-prem data sources. New connectors are available on demand within 5 business days. Peliqan offers one-click ELT pipelines to the built-in data warehouse, or you can bring your own data warehouse. Peliqan supports all major data warehouses. Thanks to Peliqan’s Excel add-in, business users and consultants can work with real-time data in Excel. Analysts and power users can use Peliqan’s advanced SQL editor with the support of an AI assistant to transform data and prepare business-ready data sets, which can be used in any BI tool such as Microsoft Power BI, Metabase, Tableau, Qlik, Looker etc. Users can also set up Reverse ETL flows. Developers can go even further with Peliqan’s low-code environment, with a built-in virtual AI Data Engineer, where they can: - Build & Publish interactive data apps - Automate writebacks into source systems - Publish API endpoints for data sharing - Implement custom pipelines - Build out internal AI Agents By empowering business users, analysts, consultants and developers, Peliqan dramatically reduces reliance on IT support and speeds up decision-making. Peliqan is not just an ELT data pipeline tool, it’s a complete solution for data orchestration, automation, and activation. Peliqan also acts as the data foundation for Agentic AI, ensuring that AI agents work with trusted, up-to-date 360° views of customers, products, orders, and more - at the speed of a cloud data warehouse. Peliqan’s data warehouse provides an AI-ready data layer out-of-the-box including: - Automatic vectorizing of structured and non-structured data for RAG (Retrieval-Augmented Generation) - Text-to-SQL - MCP Gateway In today’s landscape, a data warehouse is no longer just for BI - it’s the foundation for both BI and AI. With Peliqan.io, organizations can integrate, analyze, and activate their data seamlessly, empowering both humans and AI agents to make smarter, faster decisions.

Average Rating: 4.8/5.0

Total Reviews: 89

How Do G2 Users Rate Peliqan?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.1/10)
  • Automation: 9.2/10 (Category avg: 9.0/10)
  • Scalability: 9.2/10 (Category avg: 8.7/10)
  • Auditing: 8.0/10 (Category avg: 8.2/10)

Who Is the Company Behind Peliqan?

  • Seller: Peliqan
  • Company Website:
  • Year Founded: 2022
  • HQ Location: Gent
  • Twitter: @Peliqan_io
    9 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    32 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 47% Small, 41% Medium

What Do G2 Reviewers Say About Peliqan?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Peliqan, enjoying seamless integration and effortless data management processes.
  • Users value the effortless integrations of Peliqan, enhancing data accessibility and automation in their workflows.
  • Users value the easy integrations of Peliqan, which streamline workflows and enhance operational efficiency across various platforms.
  • Users value the extensive pre-built connectors of Peliqan, enabling efficient data integration and faster client onboarding.
  • Users value the real-time data access and smooth integration capabilities of Peliqan for effective data management.
Cons
  • Users find the learning difficulty of Peliqan challenging, requiring technical expertise for setup and usage.
  • Users find Peliqan requires significant technical skills for setup and data transformation, limiting accessibility for non-tech users.
  • Users highlight feature limitations of Peliqan, requiring external tools for complete BI functionality and custom report creation.
  • Users find that Peliqan's steep learning curve requires expertise for optimal use and initial setup can be time-consuming.
  • Users find a steep learning curve for non-tech individuals due to required Python, SQL, and machine learning knowledge.

What Are Recent G2 Reviews of Peliqan?

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: 110

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?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated April 9, 2026