- Revenue
- $20B
- Customers
- 2M
- Year founded
- 2015
- Funding
- $16.4B
- Team size
- 9.8K
- Growth
- 387.8%
Top 26 Vector Database Software SaaS Companies in May 2026
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.
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Top Vector Database Software Companies
Showing 10 of 3 companies ranked by annual revenue.
2
DataStax
Santa Clara, California, United States
The company that owns datastax.com is DataStax, Inc. DataStax is a software company that specializes in delivering an always-on, distributed database platform built on Apache Cassandra. The company was founded in 2010 and is based in Santa Clara, California, with additional offices around the world. DataStax helps businesses unlock the full potential of their data by providing a scalable, highly available, and secure database platform that can handle massive amounts of data and support real-time applications. Their customers include some of the world's largest companies in industries such as finance, healthcare, and retail.
- Revenue
- $246.9M
- Customers
- 500
- Year founded
- 2010
- Funding
- $342.6M
- Team size
- 692
- Growth
- 16.3%
3
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
- -
Inclusion Criteria
- 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.