Top Free ETL Tools - Page 2

How Many ETL Tools Products Does G2 Track?

Total Products under this Category: 281

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: Adeptia (+1.1%) - Among all products in this category, Adeptia recorded the largest rating increase compared to last month

Last updated: October 07, 2026

How Does G2 Rank ETL Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 20,000+ Authentic Reviews
  • 281+ 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, Domo, Informatica Data Integration and Engineering, FME Platform, and Fivetran.

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=domo&focus%5B%5D=informatica-data-integration-and-engineering&focus%5B%5D=fme-platform&focus%5B%5D=fivetran)

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: 74

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?

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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: 116

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: 39% Large, 33% 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?

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?

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: 86

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, 42% 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?

ILUM

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible.

Average Rating: 4.9/5.0

Total Reviews: 23

How Do G2 Users Rate ILUM?

  • Has the product been a good partner in doing business?: 9.7/10 (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 ILUM?

  • Seller: Ilum
  • Company Website:
  • Year Founded: 2019
  • HQ Location: Santa Fe, US
  • Twitter: @IlumCloud
    19 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Telecommunications
  • Company Size: 52% Large, 35% Medium

What Do G2 Reviewers Say About ILUM?

AI-generated summary from verified user reviews

Pros
  • Users praise ILUM for its ease of use, with a clean UI and quick deployment enhancing productivity and workflow.
  • Users praise ILUM for its seamless integration, user-friendly interface, and excellent customer support, streamlining data management effectively.
  • Users value the seamless integrations of ILUM, enhancing productivity by connecting various systems and streamlining workflows.
  • Users love the ease of setup with ILUM, noting quick deployments and user-friendly interfaces that enhance productivity.
  • Users value the easy integrations of ILUM, enhancing their data workflows and simplifying complex processes effortlessly.
Cons
  • Users note that the complex setup of ILUM can be challenging, requiring time and effort to configure properly.
  • Users note the difficult setup of ILUM, requiring experimentation and digging for advanced configurations and integrations.
  • Users note the steep learning curve for new users, though intuitive daily use improves after initial setup.
  • Users note that the UX could be improved with more intuitive navigation and clearer configuration options.
  • Users find ILUM's complexity in advanced configurations may require time and effort to fully navigate and optimize.

What Are Recent G2 Reviews of ILUM?

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: 291

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
  • Twitter: @HevoData
    830 Twitter followers
  • 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

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?

  • Seller: Integrate.io
  • Year Founded: 2012
  • HQ Location: San Francisco, CA
  • Twitter: @Integrateio
    4,285 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    26 employees on LinkedIn®

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?

Singular

Singular is the only end-to-end marketing attribution and analytics platform that uncovers true ROI across all marketing channels. We transform complex marketing data into actionable insights by unifying campaign data from thousands of channels with cross-device attribution data. Leading brands like LinkedIn, Nike, WB Games, and Rovio rely on Singular to maximize every marketing dollar, eliminate wasted spend, and drive higher user retention. With superior ROI reporting, advanced fraud prevention, user engagement capabilities, and unmatched data accessibility, marketers can finally drive faster growth with smarter insights.

Average Rating: 4.6/5.0

Total Reviews: 519

How Do G2 Users Rate Singular?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 9.1/10)
  • Automation: 8.9/10 (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 Singular?

  • Seller: Singular
  • Company Website:
  • Year Founded: 2014
  • HQ Location: Palo Alto, California
  • Twitter: @TweetSingular
    1,316 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    361 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: User Acquisition Manager, Marketing Manager
  • Top Industries: Computer Games, Financial Services
  • Company Size: 52% Medium, 26% Small

What Do G2 Reviewers Say About Singular?

AI-generated summary from verified user reviews

Pros
  • Users highlight the best-in-class customer support from Singular, noting its responsiveness and quick resolution of issues.
  • Users value the ease of use of Singular, benefiting from clear dashboards and straightforward onboarding.
  • Users find Singular's support and customer service exceptionally helpful, ensuring timely assistance and tailored solutions for their needs.
  • Users appreciate the flexibility and transparency of Singular, enhancing data analysis and decision-making efficiency.
  • Users value the deep campaign performance analysis of Singular, enhancing marketing data consolidation and decision-making.
Cons
  • Users find the poor interface design of Singular can hinder functionality and requires additional support for effective use.
  • Users find the UI to be unintuitive, often requiring extra support and feeling less flexible than desired.
  • Users find UI design issues and complex integrations in Singular can hinder usability and slow down analysis.
  • Users find attribution issues problematic, struggling with unclear credit assignment and reliability across multiple devices.
  • Users report significant dashboard issues, noting a lack of customization and an unintuitive interface that hinders usability.

What Are Recent G2 Reviews of Singular?

What Are G2 Users Discussing About Singular?

Dataslayer.ai

Dataslayer.ai is a super easy-to-use marketing data automation tool that takes the hassle out of managing your data. It connects with all the major platforms like Google Analytics, Google Ads, Meta, LinkedIn, and more, so you can automate data extraction, reporting, and visualization without the headache. With Dataslayer.ai, you can pull data from multiple sources straight into Google Sheets, Looker Studio, BigQuery or your favorite BI tools. This saves you loads of time and cuts down on manual errors, helping you make better decisions, run stronger campaigns, and get valuable insights faster. Some standout features include automated reports, real-time data syncing, customizable dashboards, and powerful data filters. Whether you're a marketer, agency, or business, Dataslayer.ai helps you stay on top of your marketing analytics, boost efficiency, and get the results you're after. If you're ready to ditch the manual work and take your marketing data game to the next level, Dataslayer.ai has got you covered!

Average Rating: 4.8/5.0

Total Reviews: 309

How Do G2 Users Rate Dataslayer.ai?

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

Who Is the Company Behind Dataslayer.ai?

  • Seller: Softpoint Consultores
  • Company Website:
  • Year Founded: 2007
  • HQ Location: Madrid, ES
  • Twitter: @Dataslayers
    233 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    14 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO, Marketing Manager
  • Top Industries: Marketing and Advertising, Retail
  • Company Size: 63% Small, 30% Medium

What Do G2 Reviewers Say About Dataslayer.ai?

AI-generated summary from verified user reviews

Pros
  • Users find Dataslayer.ai to be easy to use, making complex tasks quick and efficient even for beginners.
  • Users value the large number of connectors offered by Dataslayer.ai, enhancing their marketing analytics capabilities significantly.
  • Users appreciate the friendly and supportive customer support of Dataslayer.ai, enhancing their onboarding experience and satisfaction.
  • Users love the seamless integrations of Dataslayer.ai, connecting marketing data effortlessly and saving valuable time.
  • Users value the time-saving efficiency of Dataslayer.ai, completing tasks that once took hours in mere minutes.
Cons
  • Users express frustration with the limited API calls and row limits on the free plan, hindering full automation.
  • Users find some features difficult to learn, but navigation improves with familiarity and practice over time.
  • Users find Dataslayer.ai expensive, prompting requests for a free trial and better integration options without additional costs.
  • Users find the limited features of the free plan restrictive, hindering automation for larger accounts.
  • Users find the missing features of Dataslayer.ai limiting, especially regarding data blending on the free trial.

What Are Recent G2 Reviews of Dataslayer.ai?

What Are G2 Users Discussing About Dataslayer.ai?

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