SvectorDB - Alternatives & Competitors

Ranked by Relevance

• 1
  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
• 2
  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$
• 3
  turbopuffer Serverless Vector and Full-Text Search

  turbopuffer offers a serverless vector and full-text search solution built on object storage, delivering high speed, scalability, and cost-effectiveness.

  • Contact for Pricing
• 4
  Weaviate The AI-native database for a new generation of software

  Weaviate is an open-source vector database that enables developers to build AI-native applications with improved search capabilities, reduced hallucination, and enhanced data security. It supports hybrid search, RAG, and generative feedback loops.

  • Freemium
  • From 25$
• 5
  lantern.dev Open-source Postgres vector database and toolkit for building production-ready AI applications

  Lantern is a cloud-based vector database solution that extends Postgres with advanced vector search capabilities, embedding generation, and LLM integrations for AI applications.

  • Freemium
  • From 44$
• 6
  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$
• 7
  Singlebase The Backend for your AI Apps

  Singlebase is a managed cloud platform designed for building and deploying AI applications, offering integrated vector databases, serverless functions, and LLM support.

  • Freemium
  • From 25$
• 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
  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$
• 10
  KDB.AI The Scalable Vector Database for AI

  KDB.AI is a scalable vector database designed for building production-grade AI applications, offering high uptime and low latency search capabilities.

  • Freemium
• 11
  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
• 12
  Pinecone The Vector Database for Building Accurate and Performant AI Applications

  Pinecone is a leading vector database designed for creating and scaling high-performance, accurate AI applications. It offers a fully managed, scalable infrastructure for managing vector embeddings.

  • Freemium
  • From 25$
• 13
  Vald A Highly Scalable Distributed Vector Search Engine

  Vald is a cloud-native, highly scalable distributed vector search engine using the NGT algorithm for fast approximate nearest neighbor searches. It features automatic indexing, backup, and horizontal scaling for handling billions of vectors.

  • Free
• 14
  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