- Revenue
- $288.5M
- Year founded
- 1999
- Team size
- 771
Top 10 Data Quality Tools Companies (November 2026)
As of November 2026, Latka tracks 16 data quality tools companies. They have combined revenues of $444.6M and employ 1.9K people. They have raised $102.7M and serve 250 customers combined.
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
- 16
- Revenue
- $444.6M
- Funding
- $102.7M
- Employees
- 1.9K
Filters
Sorting: Highest -> Lowest
Top Data Quality Tools Companies by revenue
Showing 10 of 16 companies ranked by annual revenue.
- Revenue
- $61.3M
- Customers
- 250
- Year founded
- 2007
- Funding
- $2M
- Team size
- 498
3
Stae
Detroit, Michigan, United States
Provider of a digital infrastructure platform designed to offer open access to the world's civic data in one place, in real-time and with a uniform API. The company's digital infrastructure platform offers universal tool for data management and collaboration, integrate data from any source, map different data types and create real-time data feeds, enabling city managers to city workers to make better data-driven decisions, drive performance and manage vendors.
- Revenue
- $23.5M
- Year founded
- 2016
- Funding
- $3M
- Team size
- 53
4
Rightdata
Atlanta, Georgia, United States
Owner and operator of a software product development company intended to empower organizations with products that improve accuracy, consistency, comprehensiveness, completeness, relevancy and timeliness of data that is used to make business decisions. The company's data testing, reconciliation, and validation services identify issues related to data consistency and quality ensuring compliance, prevent from credibility damages and minimize the financial risk of any organization ans helps in accelerating the data migration testing by automating before-after technical and functional data testing, enabling users to educe the downtime and keeps the project timelines in control.
- Revenue
- $18.9M
- Year founded
- 2016
- Funding
- $500K
- Team size
- 85
5
Innovative Systems, Inc
Pittsburgh, Pennsylvania, United States
Innovative Systems is a global leader in the development and delivery of high-performance enterprise data management and risk management
- Revenue
- $18.2M
- Year founded
- 1968
- Funding
- $32M
- Team size
- 137
6
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
7
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
8
FirstEigen
Naperville, Illinois, United States
FirstEigen is a leader in data quality and trustability solutions, empowering organizations to ensure reliable, accurate data for critical decision-making. It offers advanced data quality, governance, and reconciliation solutions, leveraging AI and machine learning technology.
- Revenue
- $4.2M
- Year founded
- 2015
- Team size
- 35
- Revenue
- $3.8M
- Year founded
- 1996
- Team size
- 76
10
ActivePrime
Mountain View, California, United States
We help Salesforce users identify and resolve data quality issues using a comprehensive AI-enabled Data Quality Platform. We will start with with a complimentary Data Quality Assessment that uses AI to identify data quality issues across 7 key dimensions. Then, we will meet with you to for an in depth discussion regarding the data quality issues our AI-enabled platform discovered and then clean your Salesforce data with ActivePrime AI-enabled CleanData. ActivePrime’s AI-enabled CleanData automates and streamlines the process of data cleanup. There is even an ActivePrime Search Before Create function to catch data errors before they are entered. The data will continually be cleaned as it’s always on and running! Need to run simulations? ActivePrime uses AI to generate synthetic data that mimics your real data. Request a complimentary Data Quality Assessment today! Send us a message or visit our website!
- Revenue
- $2.9M
- Year founded
- 2001
- Team size
- 26
Frequently asked questions about Data Quality Tools Companies
How many data quality tools companies are there?
Latka tracks 16 data quality tools companies with reported revenue. Together they generate $444.6M in annual revenue and employ 1.9K people.
Which data quality tools company is the largest?
Denodo Technologies Inc is the largest, with $288.5M in annual revenue, founded in 1999.
How much revenue does a typical data quality tools company make?
The average data quality tools company in this list makes $27.8M a year, across 16 companies with reported revenue. They serve 250 customers combined.
Who are the leading Data Quality tools vendors?
Ranked by annual revenue, the leaders are Denodo Technologies Inc, Ataccama, Stae, Rightdata and Innovative Systems, Inc.
How much funding have data quality tools companies raised?
The 16 data quality tools companies tracked here have raised $102.7M 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.