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Buyer's guide

Best Vector Databases software

Compare Vector Databases products. Open any profile for real pricing, compliance, and buyer-fit detail, or jump into the vector databases directory to filter by industry, company size, and certifications.

11 toolsUpdated 2026

1
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.
Vector Databases
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2
Supabase is an open-source backend platform offering hosted databases, authentication, real-time data, and storage as a Firebase alternative.
Database as a Service
$300 in credits offer
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3
Turbopuffer is a retrieval and vector database platform designed for high-scale search, embeddings, and AI application data access patterns.
Vector Databases
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4
Chroma is an open-source embedding database designed for building AI applications with LLMs, providing the simplest way to store, search, and retrieve embeddings for RAG and semantic search.
Database Tools
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5
MongoDB is a document database platform offering a flexible JSON-like data model for modern application development, available as self-managed or fully managed Atlas.
Database as a Service
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6
Aiven provides managed open-source data infrastructure spanning databases, streaming, analytics, and search across major cloud providers.
Data Infrastructure
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7
Zilliz: Cloud-native vector database company behind Milvus, providing managed vector search infrastructure for AI applications at enterprise scale.
Managed Database Platforms
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8
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.
Vector Databases
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9
ObjectBox: High-performance mobile database for on-device object persistence with sync capabilities for offline-first applications.
Database Tools
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10
Upstash provides serverless Redis, Kafka, and vector databases designed for edge and serverless applications with per-request pricing and zero management.
Database as a Service
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11
Pinecone provides a fully managed vector database that makes it easy to build high-performance AI applications with semantic search, RAG, and recommendation capabilities.
Database as a Service
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12
ArcadeDB: Multi-model database supporting graph, document, key/value, time-series, and vector with SQL and Cypher APIs.
Database Management
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13
Kdb.ai: Vector database by KX Systems combining time-series data capabilities with vector search for AI applications.
Vector Databases
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14
Vearch: Open-source cloud-native vector database for deep learning and embedding similarity search.
Vector Databases
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15
SciPhi: RAG-as-a-service platform for deploying production retrieval-augmented systems.
Vector Databases
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16
Vald: Open-source distributed vector search engine for billion-scale approximate nearest neighbor search.
AI Search Engines
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17
ParadeDB is an Elasticsearch alternative built on PostgreSQL.
Enterprise Search
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18
Superlinked: Vector compute framework for building recommendation and RAG applications.
RAG Platforms
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19
Surreal: Multi model database platform with real time collaboration and graph queries
Database
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20
txtai: Open-source embeddings database for semantic search, LLM orchestration, and language model workflows.
LLM Orchestration
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21
Zeta Alpha: AI search and neural recommendation platform for enterprise knowledge discovery.
RAG Platforms
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22
Towhee: Framework for creating data processing pipelines with unstructured data.
AI Data Pipeline
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23
Faiss: Meta's library for efficient similarity search and clustering of dense vectors at billion-vector scale.
Vector Databases
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24
Mixedbread: Open embedding and reranker models with hosted API offering state-of-the-art performance on MTEB benchmarks.
AI Model Marketplace
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25
Milvus: Open-source vector database by Zilliz designed for billion-scale similarity search with GPU acceleration.
Vector Databases
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26
HarperDB: Distributed database and application platform for edge-to-cloud data workloads.
Database & Backend Services
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27
OceanBase: Ant Group's distributed relational database with MySQL and Oracle compatibility, ACID transactions, and TPC-C record.
Database
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28
Cognee: Open source memory engine for AI agents and enterprise applications.
Autonomous Agents Platforms
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29
Lantern DB: Open-source PostgreSQL vector search extension providing fast similarity search with HNSW indexing.
Vector Databases
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30
Vectorize: RAG pipeline platform that automates data ingestion, chunking, and embedding for retrieval-augmented generation.
RAG Platforms
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31
MyScale: SQL-compatible vector database combining structured and vector search for AI applications with familiar query syntax.
Vector Databases
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32
Epsilla: High-performance vector database with built-in RAG capabilities and scalable architecture for AI applications.
Vector Databases
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33
Stardog: Enterprise knowledge graph platform with vector search for connecting data silos and building intelligent applications.
Knowledge Graph Platforms
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34
Vespa: Open-source big data serving engine for real-time computation, search, and recommendation at massive scale.
Vector Databases
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35
Kinetica: GPU-accelerated analytics database for real-time streaming analytics on massive datasets with location intelligence.
Real-Time Analytics
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36
SemaDB: No-fuss vector database for applications needing simple semantic search.
Vector Databases
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Frequently asked

What is the best vector databases software?

The guide above features vector databases tools with complete, vendor-maintained profiles. Open any profile for real pricing, compliance, and buyer-fit detail before you shortlist.

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Listings come from the live Cubbie catalog. Cubbie does not accept payment for ranking position.

Ranked from Cubbie's live catalog, https://www.cubbie.com/best/vector-databases