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Top 8 Database Management Systems Companies Under $1M Revenue (September 2026)

As of September 2026, Latka tracks 8 database management systems companies under $1M in annual revenue. They have combined revenues of $3.6M and employ 36 people.

Every company below sells database management systems 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 Management Systems Companies do

Database Management Systems (DBMS) are software platforms designed to store, manage, and retrieve data efficiently within databases. They provide a systematic way to create, maintain, and use databases, facilitating tasks such as data entry, querying, updating, and reporting. DBMS solutions can be utilized in various environments, from small applications to enterprise-level database systems requiring strong performance and scalability. Common use cases for DBMS include managing customer records in CRM systems, handling transactional data in eCommerce platforms, and organizing research data in academia. Typical features of DBMS include data modeling, security controls, backup and recovery mechanisms, and support for multiple user access. Key buyer personas typically include IT administrators, data analysts, and operations managers, who require reliable tools to manage data effectively and support data-driven decision-making.

Companies
8
Revenue
$3.6M
Funding
-
Employees
36

Filters

Sorting: Highest -> Lowest

Filters

Top Database Management Systems Companies Under $1M Revenue

Showing 8 of 8 companies ranked by annual revenue.

1Yorokobi logo
Yorokobi

Newark, Delaware, United States

Yorokobi is a company that provides automatic PostgreSQL database backups.

Revenue
$681.5K
Year founded
2018
Team size
6
2GraphGrid logo
GraphGrid

Wooster, Arizona, United States

Developer of graph database management platform designed to facilitate aggregating, managing, securing and analyzing multi-source data at scale. The company's platform unleashes the power of enterprise Neo4j and Amazon cloud services through embracing data relationships at the core of the architecture and provides 24/7 deployment, management, operation and support for an entire ecosystem of services, enabling users to have rapid connection and analysis of their enterprise's data.

Revenue
$649.5K
Year founded
2018
Team size
5
3Starcounter logo
Starcounter

Stockholm, Sweden

Provider of a database management system intended to revitalize enterprise software systems. The company's database management system is a combined in-memory database engine and application server for development of high performance business applications enabling enterprises to make their software applications perform much faster.

Revenue
$578.7K
Year founded
2006
Team size
9
4Postgres.AI 💙💛 logo
Postgres.AI 💙💛

San Diego, California, United States

Database Lab Engine (DLE) enables 🖖 DB branching and ⚡️ thin cloning for *any* Postgres database and empowers DB testing in CI/CD. This improves product quality and time-to-market. GitHub ⭐️👍 https://github.com/postgres-ai/database-lab-engine

Revenue
$550K
Year founded
2020
Team size
5
5PolyScale.ai logo
PolyScale.ai

Redwood City, California, United States

PolyScale.ai is an AI-driven database cache. Using smart caching, it improves query performance, lowers network latency and makes global data access and scale engineering a breeze, both on premise and at the edge.

Revenue
$440K
Year founded
2020
Team size
4
6Amplus Tecnologia logo
Amplus Tecnologia

Fortaleza, Ceará, Brazil

A Amplus Tecnologia é uma empresa consolidada com mais de 15 anos no mercado brasileiro, com foco principal na utilização de data centers próprios e aplicativos voltados para computação em nuvem. Nossos ERP’s atendem diversos setores como educação, saúde, contábil, financeiro e gestão de vendas. Todos focados em ser uma solução de crescimento para sua empresa.

Revenue
$330K
Year founded
2009
Team size
3
7Speedment logo
Speedment

Palo Alto, California, United States

Developer of a cloud-based software designed to focus on graph databases and optimization of databases. The company's software helps to improve the performance of data-intensive web application, reduces time to market for Ext JS projects and improves application responsiveness, enabling back end developers to rapidly convert their large relational databases into in-memory Java objects that speed up data access by orders of magnitude.

Revenue
$321.1K
Year founded
2007
Team size
3
8KubeBlocks logo
KubeBlocks

Singapore

An open-source K8s operator for all kinds of databases

Revenue
$1K
Year founded
2023
Team size
1

Frequently asked questions about Database Management Systems Companies Under $1M Revenue

How many database management systems companies under $1M in annual revenue are there?

Latka tracks 8 database management systems companies under $1M in annual revenue. Together they generate $3.6M in annual revenue and employ 36 people.

Which database management systems company under $1M in annual revenue is the largest?

Yorokobi is the largest, with $681.5K in annual revenue, founded in 2018.

How much revenue does a typical database management systems company under $1M in annual revenue make?

The average database management systems company in this list makes $444K a year, across 8 companies with reported revenue.

Who are the leading Database Management systems vendors under $1M in annual revenue?

Ranked by annual revenue, the leaders are Yorokobi, GraphGrid, Starcounter, Postgres.AI 💙💛 and PolyScale.ai.

Related IT Infrastructure Software categories

Inclusion Criteria

- Must offer structured data storage and retrieval capabilities - Should include tools for data backup and recovery - Requires support for data manipulation and querying through SQL or similar languages - Must facilitate user access controls for data security - Not just focused on data storage; must also provide features for data analysis and reporting - Should support scalability to handle increasing data volumes - Must be capable of integrating with other software applications in a business ecosystem