Latka logo

Top 16 Relational Databases SaaS Companies (October 2026)

As of October 2026, Latka tracks 16 relational databases SaaS companies. They have combined revenues of $375.2M and employ 3.4K people. They have raised $1.4B.

Every company below sells relational databases 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 Relational Databases SaaS Companies do

Relational databases are organized collections of data that are structured into tables, consisting of rows and columns. This architecture allows for efficient data management and retrieval, as related data points can be accessed and manipulated using a structured query language (SQL). They are widely used in various applications, such as financial systems, e-commerce platforms, and customer relationship management systems, where handling structured data with complex relationships is essential. The primary features of relational databases include data integrity, normalization, and the ability to handle complex queries. Users can perform operations like adding, updating, and deleting data, as well as executing complex queries that join multiple tables to extract meaningful insights. Typical buyer personas for this software include database administrators, IT professionals, and business analysts, who rely on these systems to store and analyze large volumes of data and support decision-making processes.

Companies
16
Revenue
$375.2M
Funding
$1.4B
Employees
3.4K

Filters

Sorting: Highest -> Lowest

Filters

Top Relational Databases SaaS Companies by revenue

Showing 10 of 16 companies ranked by annual revenue.

1EDB 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
2SingleStore logo
SingleStore

San Francisco, California, United States

The core of all AI, business intelligence and applications is data — various bits and bytes that come in all different formats. Only when we sift through this data, reason with it and build on top of it in real time does it give way to vast amounts of information and knowledge. Real-time insights are key to the way we live our lives today; the way we entertain ourselves; the way we listen to music; the way we order groceries. Real-time insights keep your BI tools fresh; they keep your ride-sharing app with the most current price; and they ensure you never miss a fraudulent payment. SingleStoreDB is the world’s only database that empowers users to transact, analyze and contextualize data in real time. It empowers the world’s makers to build, deploy and scale modern, intelligent applications — backed by streaming data ingestion, a unique table type that supports both transactional (OLTP) and analytical (OLAP) workloads, limitless point-in-time recovery and a distributed (shared-nothing), MySQL-compatible architecture.

Revenue
$110M
Year founded
2011
Funding
$462M
Team size
523
3Yugabyte logo
Yugabyte

Sunnyvale, California, United States

Yugabyte is the company behind open source YugabyteDB, a high-performance, PostgreSQL-compatible, distributed database for cloud native applications. Built using a unique combination of high-performance document store, auto sharding, per-shard distributed consensus replication and multi-shard ACID transactions (inspired by Google Spanner), YugabyteDB serves both scale-out RDBMS and internet-scale OLTP workloads with low query latency, extreme resilience against failures and global data distribution. As a cloud native database, it can be deployed across public and private clouds as well as in Kubernetes environments with ease. We are backed by top-tier investors including Lightspeed Venture Partners, Sapphire Ventures, Dell Technologies Capital, Alkeon Capital, Meritech Capital, 8VC, Wipro Ventures, and Wells Fargo Strategic Capital. We are hiring across the board in Engineering, Sales and Marketing. Apply on our Careers page: https://www.yugabyte.com/about/careers/ GitHub (Apache 2.0): https://github.com/yugabyte/yugabyte-db Docs: https://docs.yugabyte.com To discover more, join the Yugabyte Community via our Slack channel and connect with database experts from across the world: https://inviter.co/yugabytedb

Revenue
$45.3M
Year founded
2016
Funding
$282M
Team size
412
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
5PingCAP logo
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
6Oxla 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
7Severalnines logo
Severalnines

Dunö, Kalmar County, Sweden

Exchanging control over your data layer for DBaaS is the fundamental transaction between customers and providers. Change that with the Sovereign DBaaS concept, which empowers you to get what you're actually looking for from DBaaS, full automation of your open-source database ops, without surrendering control. Whether you want to deploy and manage your high availability MongoDB, MySQL, MariaDB, PostgreSQL, TimescaleDB, Elasticsearch, SQL Server, or Redis clusters on-prem, in the cloud, or both, you can with our AI-driven automation platform. The company has enabled over 12,000 deployments to date via ClusterControl and counts Amalgamated Banks of South Africa (ABSA), Kaiser Permanente, the NHS, Black Hills Energy, and Vodafone among its customers. Find out how we can help give you back control, https://www.severalnines.com

Revenue
$5.3M
Year founded
2011
Team size
48
8pgEdge logo
pgEdge

Alexandria, Virginia, United States

pgEdge provides distributed PostgreSQL optimized for the network edge to reduce data latency and achieve ultra high availability. The company was founded by industry veterans with expertise in distributed systems and PostgreSQL.

Revenue
$4.3M
Year founded
2022
Team size
31
9carma.net logo
carma.net

Denver, Colorado, United States

Our mission is to enable telecommunication and data center corporations to deliver unparalleled customer experience and dramatically improve operational and financial performance with a comprehensive and robust set of software and bundled service solutions. Carma is the revolutionary tool built specifically for the telecommunications and data center industries that harnesses the power of relational databases to tie your inventory assets, customer orders, and vendor expenses together into a single, intuitive application for visibility across your entire organization. Delivered as the ultimate Software-as-a-Service Network Inventory Platform and built on Microsoft Dynamics, Carma is accessible from anywhere, with bank-grade security utilizing multifactor authentication, and delivers custom views for each function in your organization while pulling information from a single source of data to eliminate siloed systems and offline spreadsheets.

Revenue
$4.1M
Year founded
2016
Team size
37
10PlanetScale logo
PlanetScale

San Francisco, California, United States

Developer of a database management platform designed to improve performance and scale massively. The company's platform combines many important MySQL features with the scalability of a NoSQL database, as well as offers various features to improve performance, handle failovers, backups and manage shards, among others, enabling businesses to segment their database to boost memory efficiency without sacrificing reliable access speeds.

Revenue
$3.9M
Year founded
2018
Funding
$105M
Team size
93

Frequently asked questions about Relational Databases SaaS Companies

How many relational databases SaaS companies are there?

Latka tracks 16 relational databases SaaS companies with reported revenue. Together they generate $375.2M in annual revenue and employ 3.4K people.

Which relational databases SaaS company is the largest?

EDB is the largest, with $161M in annual revenue, founded in 2004.

How much revenue does a typical relational databases SaaS company make?

The average relational databases SaaS company in this list makes $23.5M a year, across 16 companies with reported revenue.

Who are the leading Relational Databases vendors?

Ranked by annual revenue, the leaders are EDB, SingleStore, Yugabyte, MariaDB and PingCAP.

How much funding have relational databases SaaS companies raised?

The 16 relational databases SaaS companies tracked here have raised $1.4B in disclosed funding between them.

Related IT Infrastructure Software categories

Inclusion Criteria

- Must support structured data organization into tables with defined schemas - Must allow complex querying through SQL or similar languages - Must provide features for data integrity and consistency - Must facilitate data relationships through foreign keys and indexing - Targeted towards use cases requiring secure and reliable data management - Not purely focused on unstructured data handling; must deal with structured relational data as a priority