- Revenue
- $3.8M
- Year founded
- 1996
- Team size
- 76
Top 4 Data Quality Tools Companies With $1M–$5M Revenue (September 2026)
As of September 2026, Latka tracks 4 data quality tools companies with $1M–$5M in annual revenue. They have combined revenues of $8.4M and employ 136 people.
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
- 4
- Revenue
- $8.4M
- Funding
- -
- Employees
- 136
Filters
Sorting: Highest -> Lowest
Top Data Quality Tools Companies With $1M–$5M Revenue
Showing 4 of 4 companies ranked by annual revenue.
Houston, Texas, United States
At Buurst, we're thinking about your data differently, so you can continue to grow and move your business forward. You need to move fast, and so does your data. Our nimble, cost-effective data migration and performance management solutions open new opportunities and capabilities that continually prepare you for success. Get all the tools you need, so day one happens faster, and you can be amazing on day two, month two, and even year two. We make your cloud decisions work for you - and that means providing you data control, data performance, cost-management with storage tiering, and security.
- Revenue
- $1.8M
- Year founded
- 2012
- Team size
- 32
Addison, Texas, United States
VSI is a Storage Analytics on Demand- SaaS that provides a visual health analysis of your complex SAN environment in minutes.
- Revenue
- $1.5M
- Year founded
- 2010
- Team size
- 15
Cambridge, England, United Kingdom
Operator of a technology company intended to develop genomics data compression and acceleration software. The company's compression software addresses challenges caused by growing volumes of genomics data and transparently integrates it with existing storage infrastructure and bioinformatics pipelines, offering clients with a set of software tools that reduce the size and cost of NGS data for storage and transfer.
- Revenue
- $1.3M
- Year founded
- 2010
- Team size
- 13
Frequently asked questions about Data Quality Tools Companies With $1M–$5M Revenue
How many data quality tools companies with $1M–$5M in annual revenue are there?
Latka tracks 4 data quality tools companies with $1M–$5M in annual revenue. Together they generate $8.4M in annual revenue and employ 136 people.
Which data quality tools company with $1M–$5M in annual revenue is the largest?
Alachisoft is the largest, with $3.8M in annual revenue, founded in 1996.
How much revenue does a typical data quality tools company with $1M–$5M in annual revenue make?
The average data quality tools company in this list makes $2.1M a year, across 4 companies with reported revenue.
Who are the leading Data Quality tools vendors with $1M–$5M in annual revenue?
Ranked by annual revenue, the leaders are Alachisoft, Buurst, Visual Storage Intelligence and PetaGene.
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.