Best ETL Tools - Page 14

How Many ETL Tools Products Does G2 Track?

Total Products under this Category: 275

Category Stats (Sep 2026)

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

Last updated: September 01, 2026

How Does G2 Rank ETL Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 19,500+ Authentic Reviews
  • 275+ 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, Google Cloud BigQuery, FME Platform, Domo, Fivetran, and IBM watsonx.data.

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=google-cloud-bigquery&focus%5B%5D=fme-platform&focus%5B%5D=domo&focus%5B%5D=fivetran&focus%5B%5D=ibm-watsonx-data)

DBMoto

DBMoto software makes it easy to implement heterogeneous Data Replication, Change Data Capture, and Data Transformation capabilities — without the need for consulting services. It supports all major databases including IBM DB2 (including i/AS400, LUW and z/OS).

Average Rating: 4.3/5.0

Total Reviews: 2

How Do G2 Users Rate DBMoto?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.1/10)

Who Is the Company Behind DBMoto?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    328,202 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Are Recent G2 Reviews of DBMoto?

What Are G2 Users Discussing About DBMoto?

DBSoftlab

DBSoftlab is a software company specializing in data transformation and migration solutions. Their flagship product offers a comprehensive toolkit designed to facilitate seamless data migration across a wide array of database systems and file formats. With a focus on simplicity, efficiency, and speed, DBSoftlab aims to make complex data integration tasks accessible to users of varying technical expertise. Key Features and Functionality: - Extensive Migration Support: The toolkit supports over 256 migration methods, enabling data transfer between numerous platforms, including Oracle, SQL Server, MySQL, MariaDB, PostgreSQL, IBM DB2, Informix, Teradata, MS Access, MS Excel, Visual FoxPro, SQLite, Firebird, InterBase, dBase, Paradox, Lotus, CSV, Text Files, Mailbox, HTML, and any ODBC DSN. - User-Friendly Interface: A step-by-step wizard-driven GUI simplifies the migration process, allowing users to complete data transfers in just three steps without requiring advanced technical skills. - High Performance: The toolkit is optimized for speed, ensuring rapid data migration even with large datasets. - Comprehensive Data Handling: It manages large objects (LOBs, primary keys, indexes, foreign keys, default values, and auto-increment fields, while also supporting schema migrations across different database systems. - Customization and Flexibility: Users can modify table and field names, data types, lengths, default values, and apply data filters during the migration process. - Global Compatibility: The toolkit supports UNICODE and automates character set conversions between different encodings, such as UTF-8, LATIN, CP1250, and ASCII. Primary Value and User Solutions: DBSoftlab's migration toolkit addresses the challenges associated with data integration by providing a powerful yet easy-to-use solution for transferring data between diverse systems. It eliminates the need for manual data entry or complex scripting, reducing the risk of errors and saving valuable time. By supporting a wide range of databases and file formats, the toolkit ensures that organizations can maintain data consistency and integrity during migrations, facilitating smoother transitions and more efficient data management.

Who Is the Company Behind DBSoftlab?

Definite

Definite is an all-in-one data analytics platform that combines a managed data warehouse, ELT pipelines, semantic layer, and business intelligence in a single product. Teams connect data sources using 500+ pre-built connectors for CRMs, payment platforms, marketing tools, databases, and spreadsheets. Definite automatically ingests, stores, and models the data in a managed data warehouse powered by DuckDB. Users analyze data and build dashboards using Fi, an AI-powered analytics assistant. Fi translates natural language questions into SQL queries and returns visualizations, summaries, and insights without requiring technical expertise. Key capabilities: - Managed cloud data warehouse - 500+ pre-built data connectors and ELT pipelines - Semantic layer for reusable metrics and data modeling - AI-powered natural language querying (no SQL required) - Interactive dashboards and data visualizations - Automated reporting to Slack, email, and Google Sheets - Embeddable analytics and white-label dashboards Built for: Startups, small businesses, and lean data teams who need modern data analytics without managing a complex stack of tools like Snowflake, Fivetran, dbt, and Tableau.

Average Rating: 4.0/5.0

Total Reviews: 1

Who Is the Company Behind Definite?

  • Seller: Definite
  • Year Founded: 2023
  • HQ Location: Wilmington, US
  • Twitter: @definiteapp
  • LinkedIn® Page: www.linkedin.com
    8 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About Definite?

AI-generated summary from verified user reviews

Pros
  • Users praise the AI integration of Definite for simplifying data analysis and enhancing productivity significantly.
  • Users find the API integration of Definite easy to set up, making data pipelines reliable and efficient.
  • Users value the customization options in Definite, making integration and setup both seamless and reliable.
  • Users find Definite's ease of use exceptional, allowing seamless setup and reliable data pipeline integrations.
  • Users appreciate the easy integrations of Definite, enabling quick setup of reliable data pipelines and platforms.

What Are Recent G2 Reviews of Definite?

Delman

Connect and unify your data from a combination of files, databases and apps, with just a few clicks.

Who Is the Company Behind Delman?

  • Seller: Delman
  • Year Founded: 2018
  • HQ Location: Jakarta Pusat, ID
  • LinkedIn® Page: www.linkedin.com
    14 employees on LinkedIn®

DLRunner

DLRunner is a Salesforce Data Loader automating data loader jobs and archiving.

Who Is the Company Behind DLRunner?

Document Lens

Document Lens is an advanced tool designed to recognize and extract entities from text files in PDF, DOCX, and TXT formats. Utilizing a scalable Natural Language Processing (NLP pipeline, it efficiently retrieves entities from multi-domain knowledge graphs or datasets accessible via SPARQL endpoints. This capability enables users to transform unstructured documents into structured, actionable data, facilitating seamless integration into various data processing workflows. Key Features and Functionality: - Entity Recognition and Extraction: Identifies and extracts entities from text documents, converting unstructured data into structured formats. - Multi-Format Support: Processes documents in PDF, DOCX, and TXT formats, ensuring versatility across different document types. - Scalable NLP Pipeline: Employs a robust NLP pipeline that can be configured to retrieve entities from diverse knowledge graphs or datasets via SPARQL endpoints. - Configurable Options: Offers a range of configurable settings, allowing users to tailor the tool to specific requirements and data sources. - Integration Capabilities: Designed to function as part of a larger end-to-end system, integrating seamlessly with other data processing tools and workflows. Primary Value and Problem Solved: Document Lens addresses the challenge of extracting meaningful information from unstructured text documents. By automating the recognition and extraction of entities, it significantly reduces the time and effort required for manual data processing. This automation enhances data accuracy and consistency, enabling organizations to efficiently integrate valuable information into their data ecosystems. As a result, users can make more informed decisions, streamline operations, and unlock insights from previously inaccessible data sources.

Who Is the Company Behind Document Lens?

DoubleCloud

DoubleCloud is winding down operations. The company ceased creating new accounts on October 1, 2024, and will completely close on March 1, 2025. DoubleCloud specialized in data analytics infrastructure, offering managed services for open-source data technologies. Throughout its operations, DoubleCloud provided tools for building data pipelines, including solutions for data ingestion, storage, orchestration, ELT, and real-time visualization. The company was committed to helping businesses streamline and optimize their data operations with powerful, open-source-based technologies.

Average Rating: 4.9/5.0

Total Reviews: 4

How Do G2 Users Rate DoubleCloud?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 9.1/10)

Who Is the Company Behind DoubleCloud?

Who Uses This Product?

  • Company Size: 75% Small, 25% Medium

What Are Recent G2 Reviews of DoubleCloud?

Duckle

Duckle is an open-source desktop ETL / ELT studio. Drag a pipeline onto the canvas, describe what you need in plain English to Duckie (the on-device AI assistant), and execute at native speed through DuckDB. 290+ connectors, 50+ transforms, a built-in scheduler, and a chat assistant that runs entirely on your CPU. Ships as a ~90 MB single-file desktop app. No cloud, no servers, no lock-in.

Who Is the Company Behind Duckle?

Duco

Duco is a leading data automation company that helps businesses to unleash their potential by removing the friction around data. Over 10,000 users across 30+ countries process billions of data records every week using Duco’s data automation platform. Duco is headquartered in London, with offices in New York, Boston, Edinburgh, Wroclaw and Singapore.

Average Rating: 3.8/5.0

Total Reviews: 3

Who Is the Company Behind Duco?

  • Seller: Duco
  • Year Founded: 2010
  • HQ Location: London, GB
  • Twitter: @ducotweets
    526 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    255 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Large

What Are Recent G2 Reviews of Duco?

EMS Data Import for SQL Server

EMS Data Import for SQL Server is a powerful tool to import data to SQL Server tables from MS Excel, MS Access, DBF, XML, TXT, CSV, MS Word, RTF, ODF, HTML. It provides adjustable import parameters, including source data formats for all the fields and destination SQL Server data formats for the selected fields, commit options, number of records to skip, etc.

Who Is the Company Behind EMS Data Import for SQL Server?

Epitech Integrator

Introducing our simple, inexpensive software for extracting data from different platforms, then cleansing and re-formatting it, and loading it into your desired database to create customizable reports. It has a short learning curve, and is affordable for non-IT users and project management.

Who Is the Company Behind Epitech Integrator?

ETI Solution®

Ignite's ETI tool enables high-performance queries and customized data transformation for almost all standard platforms. It's fast, flexible and secure

Who Is the Company Behind ETI Solution®?

Etlworks Integrator

The Etlworks Integrator is a modern, cloud-first, any-to-any data integration platform that scales with the business. It can connect to business applications, databases, structured, semi-structured, and unstructured data of any type, shape, and size. You can create, test, and schedule very complex data integration and automation scenarios and data integration APIs in no time, right in the browser, using an intuitive drag-and-drop interface, scripting languages, and SQL. The Etlworks Integrator supports real-time change data capture (CDC) from all major databases, EDI transformations, and many other fundamental data integration tasks. Most importantly, it really works as advertised.

Who Is the Company Behind Etlworks Integrator?

  • Seller: Etlworks
  • Year Founded: 2016
  • HQ Location: Pittsburgh, US
  • Twitter: @etlworks
    480 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Extract

The world’s most efficient data pipeline—powered by Rust. Extract offers lightning-fast, flexible data movement with an intuitive UI, powerful APIs, and rock-solid debugging—at ridiculously affordable rates. Extract is purpose-built for data teams that demand cost efficiency, high performance, and deep customization. Whether you’re a data engineer managing complex pipelines, an analytics engineer shaping transformations, or a data analyst driving insights, Extract delivers performance that exceeds expectations.

Who Is the Company Behind Extract?

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

Fast2

Who Is the Company Behind Fast2?

  • Seller: Arondor
  • Year Founded: 2002
  • HQ Location: Paris, FR
  • LinkedIn® Page: www.linkedin.com
    158 employees on LinkedIn®
Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated April 9, 2026