As of May 2026, there are 26 SaaS companies in Vector Database Software. They have combined revenues of $20.6B and employ 13.4K people. They have raised $18.5B and serve 2M customers combined.
Vector Database Software is designed to store, manage, and retrieve high-dimensional data representations, typically in the form of vectors. These databases enable efficient similarity searches and rapid data retrieval, which are essential for applications like machine learning and artificial intelligence. Primary use cases include natural language processing, recommendation systems, and image or video search, where traditional databases fall short in handling complex data structures.
Sorting: Highest -> Lowest
Showing 10 of 7 companies ranked by annual revenue.
Cincinnati, Ohio, United States
Tembo works autonomously with Claude Code, Cursor, Codex, and more to ship features, review code, and take on work from Slack, Linear, or anywhere else.
Paris, Ile-de-France, France
Meilisearch is a RESTfull search API that is the ready-to-go solution for everyone wanting a powerful, fast, and relevant search experience for their end-users ⚡️🔎 Efficient search engines are often only accessible to companies with the financial means and resources necessary to develop a search solution adapted to their needs. The majority of other companies that do not have the means or do not realize that the lack of relevance of a search greatly impacts the pleasure of navigation on their application, end up with poor solutions that are more frustrating than effective, for both the developer and the user. That's why we created MeiliSearch, an open-source solution accessible to everyone, meeting the vast majority of needs, even specific ones. Installable very easily with little or no configuration required but with a high capacity for customization. Our solution is instant; it accepts typos; it understands filters, custom rankings, and a lot of other features.
San Francisco, California, United States
Xata offers a serverless database service that offers the power of a traditional database with the usability of a SaaS spreadsheet app.
New York, New York, United States
Nomic builds AI infrastructure that accelerates the design and construction of the built world.
Houston, United States
Typesense, Inc. is a profitable, revenue-backed company with a globally distributed team that's passionate about making great search technology accessible to everyone. We serve 10 Billion+ Searches per month, just on Typesense Cloud, with several billions more in self-hosted clusters. Typesense is a modern, privacy-friendly, open source search engine meticulously engineered for performance & ease-of-use. It uses cutting-edge search algorithms that take advantage of the latest advances in Hardware Capabilities & Machine Learning. We believe that search technology choices widely available to developers today, either have a steep learning curve and a heavy operational burden, or are proprietary and expensive. We are on a mission to democratize search. We want to reduce the time-to-market for developers to build a blazing-fast search experience that provides relevant results out-of-the-box, all without breaking the bank and without operational overhead. We are a lean team trying to do big things and we believe that open sourcing our work helps combine forces with our community and force-multiply our collective efforts. If this resonates with you, here are a couple of ways to get involved: https://github.com/typesense/typesense/blob/master/CONTRIBUTING.md
San Francisco, California, United States
Featureform turns features into a first-class component of the machine learning process.
- Must efficiently store and index high-dimensional vectors. - Should support fast retrieval and similarity search capabilities. - Must provide capabilities for CRUD (Create, Read, Update, Delete) operations specifically for vector data. - Should allow for metadata filtering to enhance search results. - Not just a general-purpose database; must be optimized specifically for vector data handling.
Each Tuesday, we reverse-engineer a real SaaS company's revenue, profit, CAC, funnels, and its top growth tactic.
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