Best ETL Tools for Small Business - Page 2

How Many ETL Tools Products Does G2 Track?

Total Products under this Category: 323

Category Stats (Nov 2026)

  • Average Rating: 4.55/5 (↓0.01 vs Oct 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: SyntraETL (+1.78%) - Among all products in this category, SyntraETL recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank ETL Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 21,500+ Authentic Reviews
  • 323+ 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, Celigo, Alteryx, Funnel, Skyvia, FME Platform, Google Cloud BigQuery, and Coupler.io.

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

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: 126

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
  • 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, 32% 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?

Informatica Data Integration and Engineering

Cloud Data Integration (CDI) is a comprehensive, AI-powered ETL and ELT solution designed to easily move, transform, and synchronize data between various sources and target systems across any cloud, anywhere, at scale. Built on a modern technology stack, CDI offers easy, efficient and cost-effective data ingestion, transformation, synchronization, and replication for a multi-cloud and serverless world for everyone and everywhere. It covers diverse integration patterns, ensuring you have well-architected and seamlessly automated data pipelines for all your advanced analytics and AI needs.

Average Rating: 4.3/5.0

Total Reviews: 320

How Do G2 Users Rate Informatica Data Integration and Engineering?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 9.1/10)
  • Automation: 9.0/10 (Category avg: 9.0/10)
  • Scalability: 9.1/10 (Category avg: 8.7/10)
  • Auditing: 8.6/10 (Category avg: 8.2/10)

Who Is the Company Behind Informatica Data Integration and Engineering?

  • Seller: Informatica
  • Company Website:
  • Year Founded: 1993
  • HQ Location: Redwood City, CA
  • LinkedIn® Page: www.linkedin.com
    2,473 employees on LinkedIn®
  • Ownership: NYSE: INFA

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 57% Large, 28% Medium

What Do G2 Reviewers Say About Informatica Data Integration and Engineering?

AI-generated summary from verified user reviews

Pros
  • Users find Informatica Data Integration's ease of use remarkable, favoring its intuitive interface and drag-and-drop functionality.
  • Users value the efficiency of Informatica Data Integration, enabling reliable and scalable ETL processes seamlessly.
  • Users value the ease of use and extensive connectivity of Informatica Cloud Data Integration for efficient ETL processes.
  • Users value the time-saving capabilities of Informatica Data Integration, benefiting from efficient cloud access and automation.
  • Users appreciate the automation features of Informatica Data Integration, enhancing efficiency in data workflows and scheduling.
Cons
  • Users find the complexity of setup and configuration challenging, particularly for beginners navigating the platform.
  • Users find the complex usability of Informatica Data Integration challenging, especially during setup and performance optimization.
  • Users find that debugging can be difficult, as it often requires significant effort and expertise to manage effectively.
  • Users find the difficult setup process challenging, especially for newcomers to the Informatica platform.
  • Users find the error messages frustrating and lacking documentation, complicating their experience with the tool.

What Are Recent G2 Reviews of Informatica Data Integration and Engineering?

What Are G2 Users Discussing About Informatica Data Integration and Engineering?

Boomi Data Integration

Rivery's SaaS platform provides a unified solution for ELT pipelines, workflow orchestration, and data operations. Achieve more with less and create the most efficient, scalable data stack for your organization. Some of Rivery's features and capabilities: - Completely Automated SaaS Platform: Get setup and start connecting data in the Rivery platform in just a few minutes with little to no maintenance required. - Unified Data Ingestion, Transformation, & Orchestration: 100% data source capability, insight-ready data with both SQL and Python transformations, and complete workflow automation. - 200+ Native Connectors: Instantly connect to applications, databases, file storage options, and data warehouses with our fully-managed and always up-to-date connectors, including BigQuery, Redshift, Shopify, Snowflake, Amazon S3, Firebolt, Databricks, Salesforce, MySQL, PostgreSQL, and Rest API to name just a few. - Python Support: Have a data source that requires custom code? With Rivery’s native Python support, you can pull data from any system, no matter how complex the need. - Change Data Capture/Data Replication: Rivery’s best-in-class CDC support provides an easy, reliable and fast solution for replicating data from a database to your data warehouse. - 1-Click Data Apps: With Rivery Kits, deploy complete, production-level workflow templates in minutes with data models, pipelines, transformations, table schemas, and orchestration logic already defined for you based on best practices. - Data Development Lifecycle Support: Separate walled-off environments for each stage of your development, from dev and staging to production, making it easier to move fast without breaking things. Get version control, API, & CLI included. - Data Operations: With Rivery, you get centralized logging & reporting, monitoring & alerts, and data quality as part of a robust data operations layer for your data pipelines. - Solution-Led Support: Consistently rated the best support by G2, receive engineering-led assistance from Rivery to facilitate all your data needs. - Data Security: Industry-leading security and enterprise-grade privacy standards are built into Rivery’s network, product, and policies.

Average Rating: 4.7/5.0

Total Reviews: 120

How Do G2 Users Rate Boomi Data Integration?

  • Has the product been a good partner in doing business?: 9.6/10 (Category avg: 9.1/10)
  • Automation: 9.5/10 (Category avg: 9.0/10)
  • Scalability: 9.3/10 (Category avg: 8.7/10)
  • Auditing: 8.8/10 (Category avg: 8.2/10)

Who Is the Company Behind Boomi Data Integration?

  • Seller: Boomi
  • Year Founded: 2000
  • HQ Location: Conshohocken, PA
  • LinkedIn® Page: www.linkedin.com
    3,071 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 42% Medium, 36% Small

What Do G2 Reviewers Say About Boomi Data Integration?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Boomi Data Integration, finding it user-friendly and efficient for their needs.
  • Users commend the excellent customer support of Boomi Data Integration, enhancing their implementation and troubleshooting experiences.
  • Users commend Rivery's comprehensive data connectors, facilitating seamless integration and efficient reporting across platforms.
  • Users greatly value the automation capabilities of Boomi Data Integration, enhancing efficiency in data management processes.
  • Users find implementation easy with Boomi Data Integration, praising its user-friendliness and excellent customer support.
Cons
  • Users face data limitations with Boomi Data Integration, often struggling with missing documentation and incomplete fields.
  • Users often face information deficiency with Boomi Data Integration, leading to challenges in connecting different data sources effectively.
  • Users face insufficient information when connecting to data sources, leading to challenges in accessing necessary fields.
  • Users express concerns over the lack of available features, including missing documentation and limited data field access.
  • Users experience limited features as some data sources lack documentation and necessary report fields, hindering integration efforts.

What Are Recent G2 Reviews of Boomi Data Integration?

What Are G2 Users Discussing About Boomi Data Integration?

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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?

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?

Domo

Domo’s AI and data platform business is now part of Progress Software. Domo's cloud-native AI data readiness platform complements and significantly broadens Progress' data platform offerings, creating powerful synergies to deliver innovative, secure and scalable AI data readiness solutions worldwide. Together, these capabilities will help customers turn fragmented enterprise data and knowledge into governed, AI-ready intelligence, improving the security, governance and cost of AI-powered initiatives. Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI across their business. Built for enterprises, Domo works with existing cloud data platforms such as Snowflake, BigQuery, and Databricks to help teams turn governed data into AI-powered agents, apps, workflows, and analytics. Domo is built on three layers. The data foundation connects and governs data across cloud data platforms and business systems. The activation layer enables organizations to build AI agents, apps, workflows, automations, and dashboards on top of that foundation. The distribution layer delivers intelligence where work happens through embedded apps, mobile, dashboards, and AI assistants using Model Context Protocol (MCP). Governance underpins every layer, helping organizations scale AI and data products with security and trust. Key capabilities include: • Connecting and governing data across cloud data platforms and enterprise applications. • Building AI agents, apps, workflows, automations, dashboards, and analytics. • Delivering data and AI through dashboards, embedded apps, AI assistants, and AI agents. • Supporting both low-code and pro-code development for business and technical teams. • Applying governance, security, and access controls across data and AI. Organizations use Domo for AI agents, apps, and workflows, as well as business intelligence, operational analytics, embedded analytics, and executive reporting. By combining governed data, AI activation, app development, and distribution in a single platform, Domo helps organizations build and scale trusted data products across the enterprise.

Average Rating: 4.3/5.0

Total Reviews: 1,078

How Do G2 Users Rate Domo?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.1/10)
  • Automation: 8.4/10 (Category avg: 9.0/10)
  • Scalability: 7.8/10 (Category avg: 8.7/10)
  • Auditing: 7.2/10 (Category avg: 8.2/10)

Who Is the Company Behind Domo?

  • Seller: Domo
  • Company Website:
  • Year Founded: 2010
  • HQ Location: American Fork, UT
  • LinkedIn® Page: www.linkedin.com
    1,288 employees on LinkedIn®
  • Ownership: NASDAQ: DOMO

Who Uses This Product?

  • Who Uses This: Data Analyst, Business Analyst
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Medium, 28% Large

What Do G2 Reviewers Say About Domo?

AI-generated summary from verified user reviews

Pros
  • Users find Domo's ease of use and intuitive design invaluable for managing data efficiently and effectively.
  • Users value the flexible and user-friendly data visualization capabilities of Domo, enhancing their data analysis experience significantly.
  • Users find Domo's intuitive design empowering, facilitating easy access and effective data visualization for all skill levels.
  • Users praise Domo for its easy integrations, streamlining data management and enhancing real-time collaboration across various platforms.
  • Users value Domo's seamless integration capabilities, enabling efficient data management and real-time insights from various sources.
Cons
  • Users find the learning curve steep, often needing dedicated resources to manage updates and functionalities effectively.
  • Users report missing features in Domo, including flexibility in pivot charts and dynamic column options.
  • Users face significant data management issues with Domo, including unreliable connectors and challenging reporting functionality.
  • Users find Domo expensive, especially with drastic price increases that strain budgets and erode client trust.
  • Users find Domo's complexity hinders flexibility and speed in dataset management, making changes challenging and time-consuming.

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

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?

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?

Hevo Data

Hevo is a no-code ELT platform built on three principles: simplicity, reliability, and transparency. Connect your sources to leading data warehouses in 5 minutes with no engineering effort required. With automated scaling, fault-tolerant architecture, transparent pricing, and end-to-end visibility, Hevo keeps your data accurate and your pipelines running smoothly. Trusted by over 2,000 data teams across 45+ countries, Hevo brings all your data together through an intuitive experience that gets pipelines up and running in just a few clicks, so you can spend less time maintaining infrastructure and more time using your data.

Average Rating: 4.4/5.0

Total Reviews: 293

How Do G2 Users Rate Hevo Data?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.1/10)
  • Automation: 8.9/10 (Category avg: 9.0/10)
  • Scalability: 8.5/10 (Category avg: 8.7/10)
  • Auditing: 8.1/10 (Category avg: 8.2/10)

Who Is the Company Behind Hevo Data?

  • Seller: Hevo Data
  • Company Website:
  • Year Founded: 2017
  • HQ Location: San Francisco, California
  • LinkedIn® Page: www.linkedin.com
    253 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Computer Software, Financial Services
  • Company Size: 49% Medium, 39% Small

What Do G2 Reviewers Say About Hevo Data?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Hevo Data, finding the no-code interface and drag-and-drop functionality beneficial.
  • Users value the excellent customer support of Hevo Data, ensuring assistance is available whenever needed.
  • Users find easy integrations with Hevo Data remarkable, simplifying data collection and ETL pipeline setup without coding.
  • Users find Hevo Data's easy setup with no-code drag-and-drop features incredibly efficient for building ETL pipelines.
  • Users love Hevo Data for its no-code drag-and-drop interface, simplifying ETL pipeline implementation and integration.
Cons
  • Users find Hevo Data to be a bit expensive, which can be a concern for budget-conscious teams.
  • Users find the pricing issues of Hevo Data to be somewhat high despite the offered integrations.
  • Users experience limited customization, finding it challenging to handle complex transformations and lacking intuitive UI options.
  • Users face limited customization and transformation capabilities in Hevo Data, impacting complex data handling.
  • Users find the setup complex, with initial confusion affecting their experience and understanding of costs.

What Are Recent G2 Reviews of Hevo Data?

What Are G2 Users Discussing About Hevo Data?

Integrate.io

Integrate.io is a low-code data pipeline platform specializing in Operational ETL so companies can automate business processes and manual data preparation. Its four core use cases focus on: 1) File data preparation and B2B data sharing 2) Preparing and loading data to CRMs and ERPs such as Salesforce, NetSuite, and HubSpot 3) Powering data products with real-time database replication 4) Transforming and centralizing data to data warehouse for analytics 5) Integrate.io MCP Server connects Claude, ChatGPT, Cursor or any MCP client to your Integrate.io ETL and Reverse ETL account, so you can manage data pipelines by describing what you want.

Average Rating: 4.4/5.0

Total Reviews: 212

How Do G2 Users Rate Integrate.io?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 9.1/10)
  • Automation: 9.1/10 (Category avg: 9.0/10)
  • Scalability: 8.3/10 (Category avg: 8.7/10)
  • Auditing: 7.8/10 (Category avg: 8.2/10)

Who Is the Company Behind Integrate.io?

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 51% Medium, 32% Small

What Do G2 Reviewers Say About Integrate.io?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Integrate.io, benefiting from its intuitive interface and fast workflow design.
  • Users praise the exceptional customer support of Integrate.io for its quick responses and knowledgeable assistance.
  • Users value the easy integrations with diverse data sources, simplifying their data workflow and enhancing productivity.
  • Users value the comprehensive connectors and intuitive UI of Integrate.io, enhancing data integration and workflow efficiency.
  • Users value the automation features of Integrate.io, which enhance workflow efficiency and streamline data processes.
Cons
  • Users note a learning difficulty with advanced features, requiring extra documentation and tutorials for effective use.
  • Users feel that poor documentation hinders their ability to fully utilize Integrate.io's features and APIs effectively.
  • Users point out the limited integrations with external sources, hindering seamless connectivity and customization options.
  • Users struggle with poor API documentation, hindering their ability to effectively integrate and utilize the platform's features.
  • Users note the lack of comprehensive API documentation, making integration challenging and limiting development flexibility.

What Are Recent G2 Reviews of Integrate.io?

What Are G2 Users Discussing About Integrate.io?

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: 628

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
  • LinkedIn® Page: www.linkedin.com
    17,628 employees on LinkedIn®
  • Ownership: NYSE:HUBS

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 benefit from automation capabilities in HubSpot Data Hub, significantly streamlining tasks and enhancing overall efficiency.
  • Users value the two-way data sync of HubSpot Data Hub, enhancing efficiency and collaboration across teams.
  • 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?

CloverDX

CloverDX is the data integration platform that combines engineering-led pipelines, an AI Assistant, and self-service tools for business users. There's no managed SaaS here: you self-host CloverDX on your own terms, on-prem, in your own cloud, or hybrid, so your data and infrastructure stay under your control. CloverDX streamlines the entire ETL lifecycle, from ingestion and processing to delivery and consumption, enhancing productivity and fostering trust in data. The platform is used by organizations of all sizes, helping companies optimize and orchestrate their data workflows, reduce manual work and errors, and ensure compliance with data governance standards. Data engineers and technical users build and automate pipelines in a visual + code interface, backed by an AI Assistant that plans, builds, tests, and documents pipelines from a spec, sample data, or a natural-language prompt. Every step it generates stays visible and editable, so engineers stay in control while spending less time on boilerplate and more time on architecture and review. Business users get their own Wrangler Assistant, describing what they need in plain language and getting back transparent, editable transformation steps, so they can take on data quality, data prep, and master data management tasks without needing IT intervention. This frees up technical resources across the board. CloverDX supports a wide range of data sources and formats, enabling users to ingest data from various systems. Robust transformation capabilities allow users to clean, enrich, and manipulate data to meet specific business requirements, including using AI directly within pipelines to classify, extract, anonymize, or summarize data. Every AI capability runs on a bring your own key (BYOK) or bring your own model (BYOM) basis: connect your own account with Anthropic, OpenAI, Azure OpenAI, or Google, or run models entirely on your own infrastructure for data that never leaves your environment. There's no CloverDX-run AI service in the middle, so you stay in control of the provider, the cost, and what data gets shared. CloverDX also offers advanced automation features, including AI-assisted monitoring and diagnostics that flag issues before they become problems, minimizing manual intervention and reducing the risk of errors. CloverDX helps maintain data integrity and accountability throughout the data lifecycle, with full version control and audit trails. Users can track changes and access historical data versions, ensuring they can rely on the accuracy of data at all times. Governance always comes first: admins can set organization-wide guardrails on what data reaches an AI provider, or disable external AI sharing entirely for regulated environments. CloverDX is a versatile, flexible data integration solution that addresses the needs of both technical and non-technical users. By combining self-hosted deployment freedom, AI-powered productivity, robust processing capabilities, and a user-friendly interface, it empowers organizations to manage their data more effectively, ultimately leading to better insights, enhanced collaboration and alignment, and improved business outcomes.

Average Rating: 4.3/5.0

Total Reviews: 73

How Do G2 Users Rate CloverDX?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.1/10)
  • Automation: 8.7/10 (Category avg: 9.0/10)
  • Scalability: 8.3/10 (Category avg: 8.7/10)
  • Auditing: 7.6/10 (Category avg: 8.2/10)

Who Is the Company Behind CloverDX?

  • Seller: CloverDX
  • Company Website:
  • Year Founded: 2002
  • HQ Location: Prague
  • LinkedIn® Page: www.linkedin.com
    56 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Information Technology and Services
  • Company Size: 40% Medium, 36% Large

What Do G2 Reviewers Say About CloverDX?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of CloverDX, enjoying streamlined workflows and simple data management and conversion.
  • Users value the automation capabilities of CloverDX, which simplifies workflow management and enhances data operations.
  • Users appreciate CloverDX's simple and effective user interface, making automation and training straightforward and efficient.
  • Users value the easy integrations of CloverDX, simplifying data transformations and enhancing productivity across various projects.
  • Users highlight the simple and effective automation capabilities of CloverDX, enhancing productivity with ease of use.
Cons
  • Users find poor documentation lacking in detail, making it challenging to effectively utilize CloverDX's components and features.
  • Users report connection issues with CloverDX, especially with limited SFTP connectivity and heavy data transfer times.
  • Users find that CloverDX has a steep learning curve, particularly at the beginning of their experience.
  • Users find the unclear documentation frustrating, wishing for more detailed examples and guidance for better comprehension.
  • Users find the usability complex, making navigation difficult and hindering full utilization of CloverDX's features.

What Are Recent G2 Reviews of CloverDX?

What Are G2 Users Discussing About CloverDX?

Workato

Workato is the #1-rated iPaaS and the leader in Enterprise MCP — the platform enterprises trust to unify integration, automation, and AI in one secure, cloud-native runtime. Trusted by over 12,000 customers including half the Fortune 500, Workato connects every system, process, and data source with 14,000+ pre-built connectors. What sets Workato apart: Enterprise MCP turns proven business processes into governed, agent-ready skills that any AI agent — Claude, ChatGPT, Cursor, or custom-built — can execute safely and predictably. No rip-and-replace required. Whether modernizing legacy integrations or deploying agentic AI at scale, Workato delivers the orchestration, governance, and trust needed in the enterprise.

Average Rating: 4.7/5.0

Total Reviews: 827

How Do G2 Users Rate Workato?

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

Who Is the Company Behind Workato?

  • Seller: Workato
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Mountain View, California
  • LinkedIn® Page: www.linkedin.com
    1,466 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 41% Medium, 34% Large

What Do G2 Reviewers Say About Workato?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Workato, enabling quick automation without needing technical expertise.
  • Users love how Workato's easy integrations simplify automation, saving them hours and making processes seamless.
  • Users love the easy integrations with Workato, allowing quick automation of tools like Salesforce and Slack.
  • Users appreciate the ease of automation with Workato, enabling seamless integrations and saving significant time on repetitive tasks.
  • Users value the user-friendly and low-code interface of Workato, making business process automation seamless and efficient.
Cons
  • Users often find the complexity of Workato overwhelming, particularly regarding pricing and onboarding, leading to confusion.
  • Users find the learning curve steep, with complexity and confusion hindering smooth onboarding and workflow management.
  • Users find the missing features in Workato's connector library limit their integration capabilities with lesser-known applications.
  • Users are frustrated by data limitations in Workato, impacting email sends, job reporting, and large file transfers.
  • Users find Workato's expensive pricing a challenge, potentially hindering its adoption compared to cheaper alternatives.

What Are Recent G2 Reviews of Workato?

What Are G2 Users Discussing About Workato?

Airbyte

Airbyte is an open-source data integration and context layer platform for AI agents that allows companies to unite the data from hundreds of different applications, databases, and APIs. Airbyte can help companies move their data from one location to another automatically. Additionally, Airbyte agents can provide AI agents with the context that they require to complete specific tasks. It helps agents access, search, understand, and act on business data across hundred of tools.

Average Rating: 4.4/5.0

Total Reviews: 79

How Do G2 Users Rate Airbyte?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 9.1/10)
  • Automation: 8.7/10 (Category avg: 9.0/10)
  • Scalability: 8.5/10 (Category avg: 8.7/10)
  • Auditing: 7.7/10 (Category avg: 8.2/10)

Who Is the Company Behind Airbyte?

  • Seller: Airbyte
  • Year Founded: 2020
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    112 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 57% Small, 34% Medium

What Do G2 Reviewers Say About Airbyte?

AI-generated summary from verified user reviews

Pros
  • Users find Airbyte's intuitive and straightforward UI allows for quick pipeline deployment and easy data management.
  • Users appreciate the extensive variety of connectors in Airbyte, enhancing their data integration capabilities seamlessly.
  • Users appreciate the clean and seamless UI of Airbyte, making ELT pipeline creation straightforward for everyone.
  • Users find the setup ease of Airbyte exceptional, enabling quick and efficient EL pipeline creation.
  • Users highlight the quick setup of Airbyte, enabling rapid deployment of data pipelines with an intuitive interface.
Cons
  • Users experience poor documentation, which makes troubleshooting and connector development frustrating and time-consuming.
  • Users find the difficult setup of Airbyte occasionally challenging, often requiring assistance from the data team.
  • Users find the error reporting unclear, often struggling with opaque messages that complicate troubleshooting issues.
  • Users find Airbyte to be expensive, especially for small companies managing large data volumes.
  • Users report limited connectors with some in alpha state, impacting stability and functionality for certain platforms.

What Are Recent G2 Reviews of Airbyte?

What Are G2 Users Discussing About Airbyte?

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: 97

How Do G2 Users Rate Azure Data Factory?

  • 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: 9.1/10 (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
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT
  • Phone: +1 (877) 276-2464

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 59% Large, 30% 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?

TapClicks

TapClicks is a comprehensive marketing operations platform designed to streamline and automate various manual tasks associated with marketing management, such as data integration and reporting. This solution allows users to focus on high-impact activities, including campaign optimization and enhancing customer satisfaction. By offering a suite of tools that encompass reporting, analytics, insights, campaign order management, and marketing workflow tracking, TapClicks empowers organizations to make informed decisions based on real-time data. The platform is particularly beneficial for marketing agencies and organizations that manage multiple clients. TapClicks provides a unified dashboard through its flagship product, TapAnalytics, which consolidates marketing campaign data and performance metrics. This feature enables users to easily manage thousands of clients from a single interface, offering both high-level agency views and customizable client-specific views. Such transparency is essential for maintaining strong client relationships and ensuring that clients are informed about their campaign performance. One of the standout features of TapAnalytics is its ability to deliver real-time analytics and scoring across all campaigns. Utilizing sophisticated algorithms, the platform optimizes campaign performance and uncovers actionable insights that can drive better results. Additionally, the data visualization capabilities of TapClicks bring data to life through interactive timelines, pie charts, geo-mapping, and text widgets, making it easier for users to interpret and present their findings. TapClicks also prioritizes efficiency with its auto-scheduled reporting feature, allowing users to send automated reports in various formats, including HTML, PDF, and Excel. This functionality saves time and ensures that stakeholders receive timely updates without the need for manual intervention. Furthermore, the platform supports over 200 integrations tailored to the needs of agencies of all sizes, enhancing its versatility and making it a valuable tool for marketing professionals. In summary, TapClicks is designed to optimize marketing operations by automating routine tasks and providing a holistic view of marketing activities. With its user-friendly interface, robust analytics capabilities, and extensive integration options, TapClicks stands out as a powerful solution for organizations looking to enhance their marketing efforts and drive meaningful results.

Average Rating: 4.3/5.0

Total Reviews: 316

How Do G2 Users Rate TapClicks?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 9.1/10)

Who Is the Company Behind TapClicks?

  • Seller: TapClicks
  • Company Website:
  • Year Founded: 2015
  • HQ Location: San Jose, CA
  • LinkedIn® Page: www.linkedin.com
    131 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Account Manager, Digital Marketing Manager
  • Top Industries: Marketing and Advertising, Broadcast Media
  • Company Size: 62% Small, 30% Medium

What Do G2 Reviewers Say About TapClicks?

AI-generated summary from verified user reviews

Pros
  • Users find TapClicks to be extremely easy to use, efficiently consolidating marketing data and improving reporting capabilities.
  • Users value the powerful analytics of TapClicks, enabling deeper insights and enhanced decision-making across marketing operations.
  • Users value the efficient reporting features of TapClicks, simplifying data analysis and optimizing marketing campaigns seamlessly.
  • Users value the time-saving automation of TapClicks, allowing focus on strategy and optimization of marketing efforts.
  • Users appreciate the time-saving automation of TapClicks, enabling focus on strategy and enhanced decision-making.
Cons
  • Users encounter lack of information from TapClicks support, leading to unresolved data connection issues and discrepancies.
  • Users often experience connection issues, leading to data discrepancies and less than ideal customer service responses from TapClicks.
  • Users often struggle with data inconsistency, encountering discrepancies and experiencing unhelpful customer service responses.
  • Users find the data management issues in TapClicks, especially during setup and syncing, quite frustrating and non-intuitive.
  • Users find the difficult setup of TapClicks overwhelming, affecting the initial experience and data syncing process.

What Are Recent G2 Reviews of TapClicks?

What Are G2 Users Discussing About TapClicks?

Polytomic

Polytomic is a unified data movement platform that makes it easy for teams to keep all their systems in sync, data warehouses, operational databases, and SaaS applications. It supports ETL, Reverse ETL, and bi-directional sync, helping teams ensure that tools like Snowflake, Postgres, MongoDB, Salesforce, HubSpot, NetSuite, and internal apps are always aligned in real time. With Polytomic, you can: Sync from Warehouse → SaaS: Push modeled analytics into CRMs and marketing platforms. Sync from SaaS → Warehouse: Bring back usage data, leads, tickets, and revenue for analytics. Enable true two-way sync: Keep both sides current when systems need to stay fully aligned. Data teams get SQL support, logging, monitoring, and Infrastructure-as-Code. RevOps, Marketing, and Customer Success teams can configure syncs with a no-code UI, no engineering tickets required. Polytomic is built to scale with large datasets, supports Change Data Capture (CDC) for high-volume databases, and can run self-hosted for organizations with strict compliance needs. Why teams switch to Polytomic: Combines ETL, Reverse ETL, and CDC in a single platform, no multi-tool pipelines. Real bi-directional sync keeps critical systems aligned. CDC reduces load, making updates fast and cost-efficient. Self-hosted option for full data control. Fast connector velocity and responsive engineering support. Polytomic gives organizations a single, reliable way to move, sync, and manage data, so teams can trust their systems, act on insights faster, and focus on growth rather than manual pipelines.

Average Rating: 4.8/5.0

Total Reviews: 57

How Do G2 Users Rate Polytomic?

  • Has the product been a good partner in doing business?: 9.9/10 (Category avg: 9.1/10)
  • Automation: 9.5/10 (Category avg: 9.0/10)
  • Scalability: 9.3/10 (Category avg: 8.7/10)
  • Auditing: 8.9/10 (Category avg: 8.2/10)

Who Is the Company Behind Polytomic?

  • Seller: Polytomic
  • Company Website:
  • Year Founded: 2019
  • HQ Location: San Francisco, California
  • LinkedIn® Page: www.linkedin.com
    11 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 58% Medium, 39% Small

What Do G2 Reviewers Say About Polytomic?

AI-generated summary from verified user reviews

Pros
  • Users praise Polytomic for its outstanding customer support, highlighting responsiveness and proactive assistance throughout their experience.
  • Users commend Polytomic for its reliable data synchronization, effectively integrating multiple platforms with excellent support and responsiveness.
  • Users find Polytomic remarkably easy to use, benefiting from seamless setup and integration across various platforms.
  • Users value the easy integrations of Polytomic, enhancing their data synchronization across multiple platforms seamlessly.
  • Users commend the reliability of Polytomic, enjoying seamless connections and outstanding customer support throughout their experience.
Cons
  • Users report occasional bug issues, but appreciate the responsive support and prompt fixes from the Polytomic team.
  • Users suggest improved customizable error reporting, though the support team is responsive to issues encountered.
  • Users find the limited connectors in Polytomic restrictive, necessitating additional tools for comprehensive functionality.
  • Users report encountering software bugs, but appreciate the quick resolution and support from the Polytomic team.
  • Users find data limitations troubling, particularly with sync capabilities between Airtable and Hubspot for larger databases.

What Are Recent G2 Reviews of Polytomic?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated