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Layers / Data / RAG / Vector databases

Vector databases

COMPARE TWO OF THESE →

The store itself — where embeddings live, how they are indexed and what a similarity query costs. The search behaviour built over one belongs in retrieval and search; LanceDB, Qdrant and Redis sit in both because they genuinely are both.

27 in this category
SORTED BY STARS · 3 UNMEASURED, GROUPED LAST

NARROW BY WHAT THIS CATEGORY ASKS

LICENCE · 10 NOT READ

INDEX TYPES · 11 NOT READ

OPEN SOURCE · 13 NOT READ

PRODUCTUSED BYSTARSDOWNLOADS 30D
SupabaseThe Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.109,065RedisPython client for Redis database and key-value store4776,30950,060,989MilvusMilvus is a high-performance, cloud-native vector database built for scalable vector ANN search1446,0474,346,850TiDBTiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructur40,517pageindex📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG35,622QdrantClient library for the Qdrant vector search engine2234,4862,854,348MongoDB Atlas Vector SearchThe MongoDB Database2028,54853,920,409pgvectorOpen-source vector similarity search for Postgres22,975airbyteOpen-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.22,039TturbovecA vector index built on TurboQuant, written in Rust with Python bindings17,216WeaviateA python native Weaviate client1216,799114,322ZvecA lightweight, lightning-fast, in-process vector database15,897LanceDBLanceDB: A serverless, low-latency vector database for AI applications1411,3957,286,011paradedbOne Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.9,297lanceOpen Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and 7,063redisearchA query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.6,237Ttext2vectext2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。4,973ruvectorRuVector is a High Performance, Real-Time, Self-Learning Ai, Vector GNN, Memory DB built in Rust.4,494lakesoulLakeSoul is an end-to-end, realtime cloud-native Lakehouse framework for fast data ingestion, concurrent updates, incremental analytics, multimodal data processing and vector search — powering next-ge3,250attuThe Best GUI for Milvus3,156vearchDistributed vector search for AI-native applications2,325arcadedbArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vecto1,151SQLRiteSQLRite - Simple embedded database modeled off SQLite in Rust1,091unbodyThe Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data.523PineconePinecone Python SDK143,300,862UUpCloudno tagline on recordZillizZilliz Cloud: Fully Managed Vector Lakebase for Enterprise AI

SORTED BY ONE STATED COLUMN · USED BY = LISTED PRODUCTS DEPENDING ON IT, IN THIS DIRECTORY — NOT A POPULARITY FIGURE · NO OVERALL SCORE AND NO RANK COLUMN, BECAUSE BLENDING ADOPTION, STARS AND DOWNLOADS NEEDS WEIGHTS, AND WEIGHTS ARE AN OPINION PRESENTED AS ARITHMETIC

Cite this page

The count and its date sit inside the citation, because “Vector databases” without a date is a claim that quietly goes wrong as the category fills.

infratoapp, “Vector databases — Data / RAG”, read 28 October 2026. 27 listed products. https://www.infratoapp.com/layers/data-rag/vector-db

No overall score, and no rank column

Blending adoption, stars and downloads needs weights, and weights are an opinion presented as arithmetic — so this table sorts by one stated column at a time and shows which. This view holds no billing column and joins no billing table: a sponsor cannot appear higher, and the signals meter is a row’s own confidence, never a score you can sort on.

Frequently asked

What is in the Vector databases category?
27 products in the Data / RAG layer of the AI stack. The store itself — where embeddings live, how they are indexed and what a similarity query costs. The search behaviour built over one belongs in retrieval and search; LanceDB, Qdrant and Redis sit in both because they genuinely are both. Listed members include Supabase, Redis and Milvus. Every fact on each listing carries the page it was read from and the date it was read.
How are Vector databases compared here?
By the 9 attributes this category declares, asked of every member and answered only where a source states it. A product with no answer on record shows a gap rather than a guess, and no blended score is published — weights would be an opinion presented as arithmetic.
Supabase or Redis?
Both are listed under Vector databases. We publish no verdict between them — we hold no benchmark that would support one. What we do hold is the same attribute sheet for each, side by side with the source behind every value, at /compare/redis-vs-supabase.
What does a blank mean on a vector databases row?
That nobody has told us, not that the answer is no. A hollow ring is "no answer on record", which is a different state from a recorded no — and the two look different on purpose. A listing with a blank has not failed the question; it has not been read for it.
How often are vector databases figures re-read?
Every value carries the date it was read and a link to the page it came from. Prices move fastest and are re-read most often; an attribute read weeks ago says so rather than presenting itself as current. Anything past 21 days is hidden rather than shown stale.
Is this every vector database there is?
No. This is 27 we have read and can cite. A directory that claimed completeness would be making a promise it cannot keep, so the page states its own count instead and says when a category is too thin to shortlist from.
Can a vendor pay to rank higher here?
No. Nothing on this page can be bought: a sponsor cannot enter a table, reorder a row or change a mark, and there is no ranked position for sale. How the site is paid for, and the line each source of money does not cross, is set out under money and independence at /our-data#sec5.