turbopuffer - Alternatives & Competitors

Ranked by Relevance

• 1
  Hyperspace Hyper search performance, lower costs

  Hyperspace is an elastic compatible cloud-native search database that combines vector and lexical search capabilities, delivering 10x faster performance through custom computing power.

  • Freemium
• 2
  Meilisearch Refreshingly simple search, enhanced by AI

  Meilisearch is a lightning-fast, flexible, and user-focused search engine enhanced by AI, designed for seamless integration into websites and applications.

  • Freemium
  • From 30$
• 3
  SvectorDB Serverless vector database built for AWS

  SvectorDB is a cost-effective serverless vector database specifically designed for AWS that offers pay-per-use pricing and seamless scaling from prototype to production.

  • Usage Based
• 4
  VectorDB Lightweight Python package for vector search and storage.

  VectorDB is a lightweight Python library for efficient text storage and retrieval using vector search. Ideal for low-latency applications requiring semantic search capabilities.

  • Free
• 5
  Manticore Search Easy-to-use open-source fast database for search

  Manticore Search is a high-performance, open-source database optimized for search applications, including vector and semantic search. It serves as a cost-effective and resource-efficient alternative to Elasticsearch, excelling in speed and handling large datasets.

  • Free
• 6
  Milvus The High-Performance Vector Database Built for Scale

  Milvus is an open-source vector database designed for GenAI applications. It offers high-speed searches and scales to billions of vectors with minimal performance loss.

  • Freemium
• 7
  Zilliz Cloud High-Performance Vector Database Made Serverless.

  Zilliz Cloud is a fully-managed vector database service built on Milvus, designed for speed, scalability, and high performance in AI applications.

  • Freemium
  • From 99$
• 8
  Qdrant High-Performance Vector Search at Scale

  Qdrant is a leading open-source vector database and similarity search engine designed for high-dimensional vectors and massive-scale AI applications. It offers cloud-native scalability, ease of use, cost efficiency, and Rust-powered reliability.

  • Freemium
• 9
  client-vector-search Embed, store, and search vectors on the client side!

  client-vector-search enables developers to implement client-side semantic search using vector embeddings, offering fast computation and search capabilities directly in the browser.

  • Freemium
  • From 20$
• 10
  VecRank AI Vector Search + Rerank API with zero infrastructure

  VecRank AI offers a scalable, AI-driven search solution with vector search and reranking capabilities. It enhances natural language understanding and contextual relevance for developers and businesses.

  • Freemium
  • From 9$