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Top 10 Database DevOps Software Companies (November 2026)

As of November 2026, Latka tracks 48 database DevOps software companies. They have combined revenues of $611.1M and employ 4.3K people. They have raised $932.9M and serve 6M customers combined.

Every company below sells database DevOps software 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 Database DevOps Software Companies do

Database DevOps Software is a category of tools designed to integrate database management into the broader DevOps framework. This software focuses on enhancing collaboration between development and operations teams, facilitating database changes and deployments more efficiently. Primary use cases include automating database migration, version control for database schemas, and enabling continuous integration/continuous deployment (CI/CD) practices specifically for database environments. Typical features of Database DevOps Software include automated database change management, monitoring for performance and security, and support for rollback procedures. These tools aim to reduce the risks associated with database updates, making it easier for organizations to deliver updates quickly and reliably. Common buyer personas include IT operations teams, software developers, and database administrators who are involved in the software development lifecycle and are looking to optimize their workflow and improve database reliability.

Companies
48
Revenue
$611.1M
Funding
$932.9M
Employees
4.3K

Filters

Sorting: Highest -> Lowest

Filters

Top Database DevOps Software Companies by revenue

Showing 10 of 48 companies ranked by annual revenue.

1Neo4j logo
Neo4j

San Mateo, California, United States

Neo4j, the Graph Database & Analytics leader, helps organizations find hidden relationships and patterns across billions of data connections deeply, easily, and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems with Neo4j’s full graph stack and a vibrant community of developers, data scientists, and architects across hundreds of Fortune 500 companies.

Revenue
$200M
Year founded
2007
Funding
$535.1M
Team size
982
2EDB logo
EDB

Wilmington, Delaware, United States

EDB Postgres® AI (EDB PG AI) is the first open, enterprise-grade sovereign data and AI platform—secure, compliant, and scalable, on-premises and across clouds. Built on Postgres, the world’s leading database, EDB PG AI unifies transactional, analytical, and AI workloads, enabling organizations to operationalize their data and LLMs while maintaining control over sovereign environments. EDB PG AI is supported by a global partner network and delivers up to 99.999% availability as well as hybrid management and a built-in AI factory. As one of the most active contributors to the PostgreSQL project, EDB is deeply invested in the vitality of the global community. To learn more, visit www.enterprisedb.com.

Revenue
$161M
Year founded
2004
Funding
$64.9M
Team size
1.5K
3Redgate Software logo
Redgate Software

Austin, Texas, United States

Compliant database DevOps

Revenue
$100M
Year founded
1999
Team size
573
4MariaDB logo
MariaDB

Esbo, United States

MariaDB is a community-developed, commercially supported fork of the MySQL relational database management system, intended to remain free and open-source software under the GNU General Public License.

Revenue
$14M
Year founded
2014
Funding
$124.1M
Team size
247
5HPG Technology logo
HPG Technology

Spring Hill, Kansas, United States

technology solutions for businesses

Revenue
$13.9M
Year founded
2002
Team size
205
6DataBloc logo
DataBloc

Fredericton, New Brunswick, Canada

Developer of data migration software offering data-driven organizations with data storage and management. The company offers cloud storage and scale-out network-attached storage, intending to migrate data with transparency and efficiency.

Revenue
$13.2M
Year founded
2019
Team size
4
7NAZAR logo
NAZAR

Recife, Brazil

digital advertising campaign management platform

Revenue
$10.6M
Year founded
2014
Funding
$422.5K
Team size
53
8Liquibase (Datical) logo
Liquibase (Datical)

Austin, Texas, United States

Database schema automation software

Revenue
$9.6M
Year founded
2012
Funding
$23.3M
Team size
87
9SqlDBM logo
SqlDBM

San Diego, California, United States

database modeling platform

Revenue
$8.8M
Customers
15K
Year founded
2017
Team size
42
10Oxla logo
Oxla

Warsaw, Mazowieckie, Poland

Oxla provides a database that specializes in lightning data processing, offering a distributed database platform capable of processing and handling large, complex queries with ease, designed to be compatible with PostgreSQL and optimized for modern hardware.

Revenue
$6.1M
Team size
39

Frequently asked questions about Database DevOps Software Companies

How many database DevOps software companies are there?

Latka tracks 48 database DevOps software companies with reported revenue. Together they generate $611.1M in annual revenue and employ 4.3K people.

Which database DevOps software company is the largest?

Neo4j is the largest, with $200M in annual revenue, founded in 2007.

How much revenue does a typical database DevOps software company make?

The average database DevOps software company in this list makes $12.7M a year, across 48 companies with reported revenue. They serve 6M customers combined.

Who are the leading Database DevOps software vendors?

Ranked by annual revenue, the leaders are Neo4j, EDB, Redgate Software, MariaDB and HPG Technology.

How much funding have database DevOps software companies raised?

The 48 database DevOps software companies tracked here have raised $932.9M in disclosed funding between them.

Related Development Software categories

Inclusion Criteria

- Must provide automated database change management capabilities - Must support version control for database schemas - Must enable CI/CD practices specifically for databases - Should include monitoring and observability features for databases - Must facilitate collaboration between development and operations teams - Not just for database backups; must also automate deployment processes