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Top 2 Data Quality Tools Companies With $5M–$10M Revenue (November 2026)

As of November 2026, Latka tracks 2 data quality tools companies with $5M–$10M in annual revenue. They have combined revenues of $13.8M and employ 125 people. They have raised $65.2M.

Every company below sells data quality 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 Quality Tools Companies do

Data Quality Tools are specialized software solutions designed to help organizations assess, improve, and maintain the integrity of their data. These tools enable users to identify data quality issues such as inaccuracies, inconsistencies, or incompleteness, which are crucial for reliable decision-making. Common use cases include data cleansing, validation, monitoring, and profiling, ensuring that organizations operate with accurate and trustworthy data. Typical features of Data Quality Tools encompass data profiling, which analyzes data's structure and content; data cleansing functionalities that standardize and correct data; and deduplication services that eliminate duplicate entries. Buyers of these solutions commonly include IT departments, data management professionals, and data analysts who are responsible for ensuring that accurate data is available across various business functions. As reliance on data increases across industries, the need for robust data quality solutions has become more critical than ever.

Companies
2
Revenue
$13.8M
Funding
$65.2M
Employees
125

Filters

Sorting: Highest -> Lowest

Filters

Top Data Quality Tools Companies With $5M–$10M Revenue

Showing 2 of 2 companies ranked by annual revenue.

1DQLabs logo
DQLabs

Pasadena, California, United States

DQLabs is the Modern Data Quality Platform enabling organizations to deliver reliable and accurate data for better business outcomes. With an automation-first approach and self-learning capabilities, the DQLabs platform harnesses the combined power of Data Observability, Augmented Data Quality and Data Discovery to enable data producers, consumers, and leaders to turn data into action faster, easier, and more collaboratively.

Revenue
$7.8M
Year founded
2020
Team size
71
2Great Expectations logo
Great Expectations

Tahlequah, Oklahoma, United States

We're helping data teams have confidence in their data, no matter what. GX Cloud is our end-to-end platform for managing your data quality process. It delivers the intuitive experience of a fully managed SaaS solution while harnessing the power of the world's most popular data quality framework. With GX Cloud, data teams can work quickly, collaborate effectively, and always know what to expect from their data. GX Core is our open source Python offering, and the world's most popular data quality framework. It's a powerful, flexible data quality solution that empowers data teams to communicate better and take action effectively. At its heart are Expectations: verifiable assertions about your data that create clear and expressive data quality tests.

Revenue
$5.9M
Year founded
2017
Funding
$65.2M
Team size
54

Frequently asked questions about Data Quality Tools Companies With $5M–$10M Revenue

How many data quality tools companies with $5M–$10M in annual revenue are there?

Latka tracks 2 data quality tools companies with $5M–$10M in annual revenue. Together they generate $13.8M in annual revenue and employ 125 people.

Which data quality tools company with $5M–$10M in annual revenue is the largest?

DQLabs is the largest, with $7.8M in annual revenue, founded in 2020.

How much revenue does a typical data quality tools company with $5M–$10M in annual revenue make?

The average data quality tools company in this list makes $6.9M a year, across 2 companies with reported revenue.

Who are the leading Data Quality tools vendors with $5M–$10M in annual revenue?

Ranked by annual revenue, the leaders are DQLabs and Great Expectations.

How much funding have data quality tools companies with $5M–$10M in annual revenue raised?

The 2 data quality tools companies with $5M–$10M in annual revenue tracked here have raised $65.2M in disclosed funding between them.

Related IT Infrastructure Software categories

Inclusion Criteria

- These tools must provide data profiling capabilities to analyze data quality. - They should include data cleansing features to correct inaccuracies and inconsistencies. - Deduplication functions are essential to remove duplicate entries from datasets. - Data Quality Tools must support ongoing monitoring of data quality over time. - They should facilitate data validation against established standards or rules. - Not just data storage solutions; must also offer active data quality improvement functionalities.