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Top 1 ETL Tools Companies (August 2026)

As of August 2026, Latka tracks 1 ETL tools companies. They have combined revenues of $1.3M and employ 12 people.

Every company below sells ETL tools to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What ETL Tools Companies do

ETL tools, which stand for Extract, Transform, and Load, are software solutions designed to facilitate the consolidation of data from various sources into a centralized location, typically a data warehouse. These tools automate the process of extracting data from multiple databases, applications, and other data sources, transforming it into a usable format, and loading it into a target system for analysis and reporting. ETL workflows enhance the speed and efficiency of data processing, allowing organizations to make data-driven decisions in a timely manner. The primary use cases for ETL tools encompass data integration, data migration, and data warehousing. They are commonly used in industries such as finance, healthcare, retail, and marketing, where large volumes of data need to be collected and processed regularly. The typical features of ETL tools include data cleansing, error handling, real-time data processing, and the ability to schedule workflows and generate reports. Common buyer personas include data analysts, data engineers, and IT professionals who are responsible for maintaining data flow and integrity within their organizations.

Companies
1
Revenue
$1.3M
Funding
-
Employees
12

Filters

Sorting: Highest -> Lowest

Filters

Top ETL Tools Companies by revenue

Showing 1 of 1 companies ranked by annual revenue.

1COZYROC logo
COZYROC

Raleigh, North Carolina, United States

​COZYROC's SSIS+ components suite https://cozyroc.com/products includes 270+ data integration adapters, components and tasks for developing ETL solutions with MS SQL Server Integration Services. ✔ 146 data integration adapters and REST integration framework ✔ SSIS components and tasks for SFTP communications, compression, encryption, script reuse, EDI data processing, integration with IBM DB2, Oracle, Salesforce, Amazon, Dynamics CRM, SharePoint, Advanced Email support, Advanced Excel support, Parallel Loop, Sort Plus. ✔ The new 2.2 version includes support for 37 additional applications as well as several new components and other improvements. ✔ Introduced a new Derived Column Plus transformation component used for creating new columns or modifying existing ones. It is an alternative to Microsoft's Derived Column transformation. It provides the capability to derive new column values based on a rich set of JavaScript expressions, perform calculations, manipulate strings, format dates, perform logical operations, and transform data in various ways. ✔ The COZYROC REST framework has been further improved with support for GraphQL and OData APIs. ✔ Support for Visual Studio 2022. ✔ Successfully used and deployed in more than 140 countries around the world Full list of components and tasks: https://cozyroc.com/products The company headquarters is in Raleigh, North Carolina and has an office in Sofia, Bulgaria.

Revenue
$1.3M
Year founded
2006
Team size
12

Frequently asked questions about ETL Tools Companies

How many ETL tools companies are there?

Latka tracks 1 ETL tools companies with reported revenue. Together they generate $1.3M in annual revenue and employ 12 people.

Which ETL tools company is the largest?

COZYROC is the largest, with $1.3M in annual revenue, founded in 2006.

How much revenue does a typical ETL tools company make?

The average ETL tools company in this list makes $1.3M a year, across 1 companies with reported revenue.

Who are the leading ETL tools vendors?

Ranked by annual revenue, the leaders are COZYROC.

Related IT Infrastructure Software categories

Inclusion Criteria

- Must enable the extraction of data from multiple disparate sources. - Must offer transformation capabilities to modify and cleanse data before loading. - Must support loading data into a centralized data repository, such as a data warehouse or database. - Should include error handling and logging features for effective troubleshooting. - Not just a data management tool; must also facilitate data integration workflows.