2026년 최고의 벡터 데이터베이스 도구

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MongoDB

벡터 데이터베이스

MongoDB는 애플리케이션 개발과 프로덕션 워크로드를 위한 MongoDB Atlas 기반의 현대적인 데이터 플랫폼입니다.

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SingleStore

Analytics & BI

A real-time database for transactional, analytical, and AI-driven applications.

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SurrealDB

AI 에이전트 인프라

SurrealDB는 AI 에이전트를 위한 멀티 모델 컨텍스트 계층으로, 문서·그래프·벡터·시계열·관계형 데이터를 하나의 ACID 트랜잭션으로 통합합니다.

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ParadeDB

벡터 데이터베이스

ParadeDB는 PostgreSQL에 검색, 벡터 검색, 집계 기능을 추가합니다.

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MyScale

벡터 데이터베이스

MyScale queries vector and structured data with SQL. Build similarity and filtered retrieval over embeddings and metadata on a managed cloud cluster.

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Spice AI

벡터 데이터베이스

데이터 집약적 애플리케이션과 AI 에이전트를 위한 오픈소스 SQL 쿼리 및 하이브리드 검색 엔진. ETL 불필요.

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Powabase

AI 에이전트 인프라

A Postgres backend for AI applications with built-in retrieval, agents, auth, and storage.

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Ducky

AI 검색 엔진

Ducky는 텍스트, 이미지, PDF, 구조화 데이터를 검색하고 RAG 기반 제품 기능을 구축할 수 있는 완전 관리형 AI 검색·검색 플랫폼입니다.

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Vespa.ai

AI 검색 엔진

Vespa is an AI search platform for building search, retrieval-augmented generation, recommendation, personalization, and agent applications over text, vectors, tensors, and structured data. It is designed for developer teams that need configurable ranking and distributed operation at production scale.

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SereneDB

벡터 데이터베이스

SereneDB is a search-OLAP database for real-time full-text, vector, hybrid search, and analytical queries over the same data. It uses SQL and the PostgreSQL wire protocol, helping developers connect with familiar clients while keeping search and analytics in one engine.

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Redis

벡터 데이터베이스

Redis is a real-time data platform and database for applications, with Redis Cloud providing a fully managed deployment on major public cloud services. It supports application data, caching, search, and AI-oriented workflows through Redis and Redis Stack.

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Upstash Vector

벡터 데이터베이스

Upstash Vector is a serverless vector database for storing and querying embeddings and metadata in AI and machine-learning applications. It supports dense, sparse, and hybrid indexes through a REST API and SDKs for Python, TypeScript, Go, and PHP.

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pgvector

벡터 데이터베이스

pgvector is an open-source PostgreSQL extension for storing vectors and running exact or approximate nearest-neighbor searches alongside relational data. It supports multiple vector formats, distance functions, and standard PostgreSQL operations for applications that need similarity search.

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OpenSearch

AI 검색 엔진

OpenSearch is a community-driven, Apache 2.0-licensed open source search and analytics suite for ingesting, searching, visualizing, and analyzing data. It supports application search, observability, security analytics, and machine learning workflows.

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Weaviate

벡터 데이터베이스

Weaviate is a vector database for building AI-native applications, including retrieval-augmented generation systems. It helps developers store and retrieve vector data, connect applications to language models, and deploy the database in a managed, self-hosted, or private-cloud environment.

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Supabase

벡터 데이터베이스

Supabase is a Postgres development platform for building applications with a database, authentication, APIs, realtime features, serverless functions, storage, and vector support. It helps developers move from application code to a managed backend through a dashboard, client libraries, CLI, and generated APIs.

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turbopuffer

AI 검색 엔진

turbopuffer is an object-storage-native search engine for vector, full-text, hybrid, and regex search. It helps AI, search, and data teams retrieve content from large document collections with filtering, ranking, and scalable namespace-based storage.