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.
Sorting: Highest -> Lowest
Showing 10 of 12 companies ranked by annual revenue.
United States
Developer of a SaaS based data processing software designed to unleash the power of modern CPUs. The company's software uses open source databases to accelerate Generic Probe Database Browser (GPDB) for the data warehouse, enabling users to enhance their system's efficiency.
Newark, Delaware, United States
Yorokobi is a company that provides automatic PostgreSQL database backups.
United States
Cloudcraft by Datadog is the leading platform to create smart AWS diagrams. Our platform allows you to design a professional architecture diagram in minutes with the Cloudcraft visual Designer. We save your team time by importing Live AWS service inventories at a click-of-a-button. Cloudcraft allows you to generate and render service information from AWS EC2, AWS ELB, AWS Lambda, AWS RDS, AWS DynamoDB, AWS Kinesis, AWS Redshift, AWS CloudFront, AWS Route 53 and more. Cloudcraft Blueprints present data where you need it. Blueprints are live and by clicking any component you can view current service configuration and forecast your cloud spend. For model-based systems engineering you may add documentation directly to your diagram components and share diagrams with your team. A powerful Live blueprint of your AWS environment is one click away.
Skødstrup, Denmark
Provider of a cloud data storage and coding platform. The company provides a cloud-based platform that stores, tracks, analyzes and decodes bulk databases via a network coding software.
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.
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
San Francisco, California, United States
The amount of time businesses spend on their databases is altogether too much time. The Citus Data team is fixing this problem. Citus is worry-free Postgres. Built to scale out, Citus is an extension to Postgres that transforms Postgres into a distributed database. Citus is available as open source, as on-prem software, as a fully-managed database as a service—and now Citus is also available on Microsoft Azure, as Hyperscale (Citus) on Azure Database for PostgreSQL. Whether you have a multi-tenant application that needs to scale out, or you need millisecond performance for your real-time analytics customers, with Citus, you can focus on your application—not your database. Founded in 2011 and acquired by Microsoft in 2019, the Citus Data team is a Y Combinator alumnus with offices in San Francisco, Istanbul, and Amsterdam. The Series A for Citus Data was led by Khosla Ventures and Data Collective. For more information about Microsoft's acquisition of Citus Data, read the post from our co-founders: https://www.citusdata.com/blog/2019/01/24/microsoft-acquires-citus-data/ Citus online: www.citusdata.com Documentation: docs.citusdata.com GitHub: github.com/citusdata/citus
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.
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.
Santa Ana, California, United States
Structum, Inc. is a Software company that specializes in Cloud Computing and Distributed Systems. Structum is also the creator of iKnode. iKnode (pronounced I Know'd) is a simple yet powerful Backend as a Service (BaaS) which makes it extremely easy to create functionality in the cloud for Mobile, Web and Desktop applications. iKnode is a Backend Platform focused on creating behavior in the cloud using the beautiful C# language. iKnode can provides a no hassle hosting platform for APIs, whit a one-click deployment process. Write your application, test and publish it from inside your browser. Additionally, iKnode provides an intuitive Data Storage which is based on a Document database. Perform complex queries using iKnode's Query tool. Modify documents on the fly using our Document Browser tool. No backend would be complete without a way for automating API execution. iKnode provides a simple but powerful scheduler based on cron that allows for iKnode applications to run at specified
- 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
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