Supabase is an open-source backend platform offering hosted databases, authentication, real-time data, and storage as a Firebase alternative.
Specialized database systems optimized for storing and querying high-dimensional vector embeddings used in AI and similarity search applications.
Supabase is an open-source backend platform offering hosted databases, authentication, real-time data, and storage as a Firebase alternative.
Weaviate is an open-source, AI-native vector database that provides vector search, hybrid search, and generative search capabilities for building context-aware AI applications at scale.
Turbopuffer is a retrieval and vector database platform designed for high-scale search, embeddings, and AI application data access patterns.
Framework for creating data processing pipelines with unstructured data.
No-fuss vector database for applications needing simple semantic search.
Multi-model database supporting graph, document, key/value, time-series, and vector with SQL and Cypher APIs.
Vector database by KX Systems combining time-series data capabilities with vector search for AI applications.
Open-source cloud-native vector database for deep learning and embedding similarity search.
Open-source distributed vector search engine for billion-scale approximate nearest neighbor search.
Aiven provides managed open-source data infrastructure spanning databases, streaming, analytics, and search across major cloud providers.
Vector compute framework for building recommendation and RAG applications.
Meta's library for efficient similarity search and clustering of dense vectors at billion-vector scale.
Open source in-memory data grid by Red Hat providing distributed caching with Kubernetes operator support.
Cloud-native vector database company behind Milvus, providing managed vector search infrastructure for AI applications at enterprise scale.
Open-source PostgreSQL vector search extension providing fast similarity search with HNSW indexing.
Redis provides in-memory data storage with real-time performance for caching, session management, streaming, and AI vector search as a managed cloud service or self-managed software.
SQL-compatible vector database combining structured and vector search for AI applications with familiar query syntax.
High-performance vector database with built-in RAG capabilities and scalable architecture for AI applications.
Out of 35 products here. A product can suit more than one size, and one that states none is in no bar.