1
InfluxData
San Francisco, California, United States
time-series data management and analytics platform
- Revenue
- $75M
- Customers
- 400
- Year founded
- 2012
- Funding
- $119.9M
- Team size
- 197
Top 9 Database DevOps Software Companies With $10M–$100M Revenue (September 2026)
As of September 2026, Latka tracks 9 database DevOps software companies with $10M–$100M in annual revenue. They have combined revenues of $200.8M and employ 1.4K people. They have raised $724M and serve 4.4K 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
- 9
- Revenue
- $200.8M
- Funding
- $724M
- Employees
- 1.4K
Filters
Sorting: Highest -> Lowest
Top Database DevOps Software Companies With $10M–$100M Revenue
Showing 9 of 9 companies ranked by annual revenue.
2
Pinecone
San Francisco, California, United States
Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 5000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. For more information, visit pinecone.io.
- Revenue
- $26.6M
- Customers
- 4K
- Year founded
- 2019
- Funding
- $138M
- Team size
- 128
3
SequoiaDB
Shenzhen, Guangdong, China
Developer of database software designed to offer distributed database access for enterprises. The company's software helps enterprises securely store large amounts of transaction data and create data centers, enabling enterprises to improve their data storage and retrieval abilities.
- Revenue
- $24.2M
- Year founded
- 2012
- Team size
- 14
4
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
- Revenue
- $13.9M
- Year founded
- 2002
- Team size
- 205
6
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
7
PingCAP
Sunnyvale, California, United States
Developer of an open source distributed (HTAP) database designed to serve as a one-stop service for online transactions and analysis. The company's cloud native TiDB, is an open source distributed hybrid transactional analytical processing (HTAP) database with features that include MYSQL compatibility and distributed transaction, providing users with horizontal scalability and high availability for more versatile database management.
- Revenue
- $13.1M
- Year founded
- 2015
- Funding
- $341.6M
- Team size
- 430
- Revenue
- $10.6M
- Year founded
- 2014
- Funding
- $422.5K
- Team size
- 53
9
robomq.io
Vienna, Virginia, United States
Provider of based application, data management, information management, and data analytics. The company operates within the industries of application software, database software, and systems and information management.
- Revenue
- $10.2M
- Year founded
- 2012
- Team size
- 102
Frequently asked questions about Database DevOps Software Companies With $10M–$100M Revenue
How many database DevOps software companies with $10M–$100M in annual revenue are there?
Latka tracks 9 database DevOps software companies with $10M–$100M in annual revenue. Together they generate $200.8M in annual revenue and employ 1.4K people.
Which database DevOps software company with $10M–$100M in annual revenue is the largest?
InfluxData is the largest, with $75M in annual revenue, founded in 2012.
How much revenue does a typical database DevOps software company with $10M–$100M in annual revenue make?
The average database DevOps software company in this list makes $22.3M a year, across 9 companies with reported revenue. They serve 4.4K customers combined.
Who are the leading Database DevOps software vendors with $10M–$100M in annual revenue?
Ranked by annual revenue, the leaders are InfluxData, Pinecone, SequoiaDB, MariaDB and HPG Technology.
How much funding have database DevOps software companies with $10M–$100M in annual revenue raised?
The 9 database DevOps software companies with $10M–$100M in annual revenue tracked here have raised $724M 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