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Top 3 Data Integration Tools Companies $100M+ Revenue (August 2026)

As of August 2026, Latka tracks 3 data integration tools companies with $100M+ in annual revenue. They have combined revenues of $1.7B and employ 9.1K people. They have raised $962M and serve 13K customers combined.

Every company below sells data integration 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 Data Integration Tools Companies do

Data Integration Tools are software solutions designed to combine and manage data from various sources into a coherent and unified system. These tools streamline the processes of data migration, transformation, and synchronization, allowing organizations to create a holistic view of their data for analysis and operational purposes. Common use cases include enhancing business intelligence, improving data quality, and enabling real-time analytics. These tools typically offer features such as built-in connectors for popular applications, data mapping capabilities, automation of data workflows, and comprehensive data governance. They cater to various user personas, including data analysts, IT professionals, and business operations teams, all aiming to make informed decisions based on accessible and accurate data.

Companies
3
Revenue
$1.7B
Funding
$962M
Employees
9.1K

Filters

Sorting: Highest -> Lowest

Filters

Top Data Integration Tools Companies $100M+ Revenue

Showing 3 of 3 companies ranked by annual revenue.

1Cohesity logo
Cohesity

San Jose, California, United States

Our mission at Cohesity is simple: to protect, secure, and provide insights into the world’s data. The largest organizations around the globe rely on us to strengthen their business resilience.

Revenue
$1.3B
Customers
13K
Year founded
2013
Funding
$955M
Team size
7.7K
2Denodo Technologies Inc logo
Denodo Technologies Inc

Palo Alto, California, United States

data virtualization software company

Revenue
$288.5M
Year founded
1999
Team size
771
3Solace logo
Solace

Ottawa, Ontario, Canada

Solace Corporation is a technology company based in Ontario, Canada. Solace provides a messaging platform that helps businesses to distribute real-time data and information across their IT infrastructure. Their platform offers features such as event streaming, message routing, and API management, enabling businesses to deliver data in real-time to various applications and devices. Solace's platform is used by companies in various industries such as financial services, telecommunications, and transportation. The company was founded in 2001 and has since become a leading provider of event-driven architectures and messaging solutions.

Revenue
$100M
Year founded
2001
Funding
$7M
Team size
629

Frequently asked questions about Data Integration Tools Companies $100M+ Revenue

How many data integration tools companies with $100M+ in annual revenue are there?

Latka tracks 3 data integration tools companies with $100M+ in annual revenue. Together they generate $1.7B in annual revenue and employ 9.1K people.

Which data integration tools company with $100M+ in annual revenue is the largest?

Cohesity is the largest, with $1.3B in annual revenue, founded in 2013.

How much revenue does a typical data integration tools company with $100M+ in annual revenue make?

The average data integration tools company in this list makes $562.8M a year, across 3 companies with reported revenue. They serve 13K customers combined.

Who are the leading Data Integration tools vendors with $100M+ in annual revenue?

Ranked by annual revenue, the leaders are Cohesity, Denodo Technologies Inc and Solace.

How much funding have data integration tools companies with $100M+ in annual revenue raised?

The 3 data integration tools companies with $100M+ in annual revenue tracked here have raised $962M in disclosed funding between them.

Related IT Infrastructure Software categories

Inclusion Criteria

- Must facilitate data extraction, transformation, and loading (ETL) processes. - Should support integration from multiple data sources, including cloud applications and on-premise systems. - Must provide data transformation capabilities to ensure compatibility and usability of data. - Should enable real-time data syncing and automated workflows. - Must include data governance features to ensure data quality and compliance. - Not just focused on data storage; must also offer analytical capabilities.