Popular - Databases
Databases
- Highly recognized low-latency data platform used globally in production real-time application architectures
- Strong AI workload fit through fast vector similarity retrieval, caching, and hybrid access patterns
- Frequently adopted for performance-critical agent and retrieval systems where response time is central
- Enduring infrastructure brand with broad developer mindshare and enterprise deployment scale
- Leading graph database brand with longstanding recognition in knowledge graph and relationship-centric analytics
- Strong relevance for AI through graph-enhanced retrieval and vector index support in GraphRAG patterns
- Frequently cited by teams building context-rich reasoning systems and connected data applications
- Established category leader in graph data infrastructure with sustained enterprise credibility
- Widely adopted search and analytics platform with strong enterprise footprint across data-intensive workloads
- Prominent role in AI retrieval architectures via vector search, hybrid ranking, and semantic relevance features
- Frequently selected for large-scale production search and observability deployments
- Consistently recognized brand at the intersection of search infrastructure and practical AI systems
- One of the most recognized developer databases with broad adoption across modern application stacks
- High visibility in AI application development through Atlas vector search and hybrid retrieval capabilities
- Frequently referenced by engineering teams building production RAG and semantic search workflows
- Category-defining platform with durable enterprise and developer ecosystem momentum
- Open-source backend platform with PostgreSQL and pgvector for AI applications
- Raised $100M Series E at $5B valuation (Oct 2025), $200M Series D at $2B valuation (Apr 2025)
- Over 4 million registered developers using the platform
- Supabase Vector: PostgreSQL-based vector database and AI toolkit
- Used by enterprises including Firecrawl, serves startups and established tech companies
- Open-source search and analytics suite with vector capabilities
- Powers AWS OpenSearch Service used by thousands of companies
- Enterprise-grade security and scalability features
- Supports vector, lexical, and hybrid search for AI applications
- Leading open-source vector database
- Powers major LLM applications
- Sets standards in embeddings storage
- Strong developer community adoption
- Leading vector database extension
- Powers thousands of AI applications
- Industry standard for PostgreSQL vectors
- Massive open-source adoption
- Leading analytics database platform
- Powers Fortune 500 companies
- Industry standard for OLAP
- Processes trillions of rows daily
- Leading search infrastructure platform
- Powers major tech companies globally
- Industry standard for ML serving
- Processes billions of queries daily
- Leading time-series database
- 11k+ GitHub stars
- Powers financial and IoT systems
- Sets time-series performance standards
- Leading distributed SQL database
- Powers major enterprise AI workloads
- Industry standard for real-time analytics
- Sets performance benchmarks
- Meta's industry-standard vector library
- 24k+ GitHub stars
- Powers major AI applications
- Sets performance benchmarks
- Leading open-source vector database
- Powers enterprise search systems
- 20k+ GitHub stars and growing
- Sets scalability standards
- $50M Series B; $200M valuation; Index Ventures led
- Open-source vector database; GraphQL API; multi-modal
- Leading vector database platform
- Powers thousands of AI applications
- Industry standard for vector search
- Sets embedding infrastructure standards