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Top 42 Database Software SaaS Companies in May 2026

As of May 2026, there are 42 SaaS companies in Database Software. They have combined revenues of $1.2B and employ 6.9K people. They have raised $2.6B and serve 10K customers combined.

Database Software refers to applications designed to create, manage, and analyze structured data. These tools facilitate various use cases such as data storage, retrieval, and manipulation, enabling organizations to efficiently manage their data resources. Users typically include IT professionals, data analysts, software developers, and business managers who rely on accurate data to inform their decisions and operations.

Companies
42
Revenue
$1.2B
Funding
$2.6B
Employees
6.9K

Filters

Sorting: Highest -> Lowest

Filters

Top Database Software Companies

Showing 10 of 13 companies ranked by annual revenue.

1
SurrealDB

San Francisco, California, United States

SurrealDB is an innovative, multi-model, cloud-ready database, suitable for modern and traditional applications. Its versatility, and focus on developer experience, along with the ability for deployment on cloud, on-premise, embedded, and in edge computing environments, allows developers and organisations to meet the needs of their applications, without needing to worry about scalability or keeping data consistent across multiple different database platforms.

Revenue
$5M
Customers
-
Year founded
2022
Funding
-
Team size
45
Growth
-
2
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
-
3
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
-
4
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%
5
Alachisoft

Dallas, Texas, United States

Use NCache to remove Data related performance bottlenecks!

Revenue
$3.8M
Customers
-
Year founded
1996
Funding
-
Team size
76
Growth
73.22%
6
QuestDB

London, England, United Kingdom

The fastest open source time series database

Revenue
$3M
Customers
-
Year founded
2019
Funding
-
Team size
20
Growth
-
7
Datometry

San Francisco, California, United States

Datometry Hyper-Q is a database virtualization technology that makes databases interchangeable by translating apps & results in real-time.

Revenue
$2.8M
Customers
-
Year founded
2013
Funding
$17M
Team size
21
Growth
32.54%
8
SphereEx

Beijing, Beijing, China

SphereEx is a database software provider that builds distributed data infrastructures with the help of cloud and big data technologies.

Revenue
$2.7M
Customers
-
Year founded
2021
Funding
$10M
Team size
15
Growth
-
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 allow users to store, retrieve, and manipulate structured data - Should provide data management capabilities such as backup, recovery, and security - Must support various data models, including relational, NoSQL, and multi-model - Should include features for data analysis and reporting - Not just a data storage solution; must also offer data querying and management tools - Must cater to technical users, such as DBAs and data scientists, as well as non-technical business users