Vector Databases

An independent, evidence-based ranking of 19 vector databases, scored on public signals with full provenance, never on user reviews or paid placement.

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Top signal weightsDevelopment activity 0.14Developer Q&A activity 0.14Security posture 0.12Capabilities 0.12

Rank by intent

Balanced Most adopted Most actively maintained Most secure Best value

Ranking basisMost actively maintainedDevelopment activity 0.23Developer Q&A activity 0.12Security posture 0.10Release cadence 0.10

Same facts, re-weighted. Only the weighting changes, never the underlying evidence.

Vector Databases ranked by vioscaleAI composite score
#	Software	Score	Confidence
1	WeaviateOpen-source vector database combining semantic search with structured data filtering	64	medium · 71%
2	txtaiPython framework for semantic search, vector indexing, and AI language model workflows	64	medium · 60%
3	ChromaA search platform purpose-built for artificial intelligence	63	medium · 74%
4	MilvusAn open-source, high-performance vector database designed for AI applications and large-scale similarity search	60	medium · 61%
5	Deep LakeA data storage and search platform for AI applications handling multiple data types	60	low · 32%
6	LanceDBOpen-source database for multimodal AI applications with vector search capabilities	59	medium · 52%
7	QdrantA vector database and search engine for semantic similarity matching and embeddings	59	medium · 67%
8	Faiss	57	low · 41%
9	InfinityA specialized database optimized for language model applications with rapid vector and text search capabilities	48	low · 47%
10	Vald	46	low · 41%
11	Zilliz CloudA fully managed cloud service for storing, indexing, and searching high-dimensional vector data at scale	80	medium · 69%
12	PineconeA managed vector database that maintains query speed regardless of data scale	75	medium · 72%
13	UpstashServerless data platform for Redis, vector search, messaging, and workflows	73	medium · 70%
14	TurbopufferA database combining vector similarity and text search built on cloud storage	68	medium · 58%
15	EpsillaService for deploying AI agents and knowledge-based applications	65	low · 28%
16	NucliaDBAgentic RAG Platform for AI Agents and LLMs	56	low · 46%
17	MyScale	55	low · 41%
18	KDB.AIA vector database designed for generative AI applications that combines vector search with time-series data capabilities	47	low · 22%
19	MarqoAn AI-powered ecommerce search platform that learns from customer behavior to deliver personalized, accurate product discovery.	40	low · 28%
No tools on this page match that name.

Ranked by the vioscaleAI composite: independent signals, not user reviews. See the method.

Vector Databases compared

Head-to-head on the attributes that matter here, with a source and date on every value.

Vector Databases: common questions

How does vioscaleAI rank Vector Databases?

vioscaleAI ranks vector databases on a confidence-weighted blend of independent signals, weighted most on development activity, developer q&a activity, security posture. Scores come from public evidence such as adoption, activity and security posture, never from user reviews or paid placement.

What is the highest-scored tool in Vector Databases?

Weaviate currently leads with a vioscaleAI composite score of 64/100. The full ranking, with the evidence behind every score, is on this page.

How many tools does vioscaleAI list in Vector Databases?

vioscaleAI currently lists 19 in Vector Databases, each with a dated, sourced profile.

Can a vendor pay to rank higher in Vector Databases?

No. Vendors can claim and correct their profile, but placement can never be bought. That independence is what makes the ranking trustworthy for buyers and AI.