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Top 14 Relational Databases SaaS Companies in May 2026

As of May 2026, there are 14 SaaS companies in Relational Databases. They have combined revenues of $168.9M and employ 1.5K people. They have raised $1B and serve - customers combined.

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
14
Revenue
$168.9M
Funding
$1B
Employees
1.5K

Filters

Sorting: Highest -> Lowest

Filters

Top Relational Databases Companies

Showing 10 of 14 companies ranked by annual revenue.

1
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
Customers
-
Year founded
2011
Funding
$462M
Team size
523
Growth
-
2
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
Customers
-
Year founded
2014
Funding
$124.1M
Team size
242
Growth
-
3
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
Customers
-
Year founded
2015
Funding
$341.6M
Team size
430
Growth
26.5%
4
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
Customers
-
Year founded
-
Funding
-
Team size
39
Growth
-
5
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
Customers
-
Year founded
2011
Funding
-
Team size
48
Growth
-
6
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
Customers
-
Year founded
2022
Funding
-
Team size
31
Growth
-
7
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
Customers
-
Year founded
2016
Funding
-
Team size
37
Growth
-
8
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
Customers
-
Year founded
2018
Funding
$105M
Team size
93
Growth
106.16%
9
LeanXcale

Madrid, Spain

Developer of an ultra-scalable operational database designed to provide full SQL and ACID transactions to cloud applications with standard interfaces. The company's ultra-scalable operational database offers real-time analytics blending the capabilities of an operational database and the ones of a data warehouse in a single platform, empowering its customers to implement professional results without the need to copy their data in time and resource-consuming projects.

Revenue
$2.6M
Customers
-
Year founded
2015
Funding
$3M
Team size
18
Growth
64.74%
10
ScaleGrid

East Palo Alto, California, United States

ScaleGrid provides a fully managed Database-as-a-Service (DBaaS) solution used by thousands of developers, startups, and enterprise customers including UPS, Dell, and Adobe. The ScaleGrid platform supports MongoDB, Redis, MySQL, and PostgreSQL on both public and private clouds, including, but not limited to, Amazon AWS, Microsoft Azure, DigitalOcean, and VMware, and handles all your database operations at any scale so you can focus on your product instead of operations. Start a free 30-day trial to see how you can improve your database management operations today: https://console.scalegrid.io/users/register

Revenue
$2.2M
Customers
-
Year founded
2012
Funding
-
Team size
20
Growth
-

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

Relational Databases SaaS Companies | GetLatka