Our Mission
The vector database market is growing rapidly — projected to reach $2.6B by 2030 with a 22–27% CAGR. As new solutions launch and existing databases add vector capabilities, choosing the right tool has become increasingly complex.
datastores.ai exists to simplify that decision. We provide accurate, unbiased information about every major vector database solution — from purpose-built vector databases to traditional databases with vector extensions — so developers and engineering teams can make informed choices.
What We Cover
Our directory currently includes 21+ vector database solutions across 4 categories:
- Open Source — Self-hosted vector databases with full source code access.
- Cloud / Managed — Fully managed services that handle infrastructure and scaling.
- Hybrid — Solutions that support both self-hosted and managed deployments.
- Traditional + Vectors — Established databases that have added vector search capabilities.
Our Methodology
Every database listing on datastores.ai is researched and verified using publicly available information from official documentation, GitHub repositories, and product announcements. We focus on:
- Core capabilities and architecture
- Deployment models and infrastructure requirements
- Pricing and licensing
- Use cases and ecosystem integrations
- Community activity and development velocity
Independence & Transparency
datastores.ai operates independently. Some product links on the site may be affiliate links — this means we may earn a commission if you sign up through our link, at no additional cost to you. Affiliate relationships never influence our editorial content, rankings, or comparisons.
Get in Touch
Want to suggest a database, report an error, or partner with us? We'd love to hear from you.