by Weaviate B.V. · founded 2019 · updated Jul 2026
Weaviate is an open-source vector database with built-in hybrid search, multi-tenancy and a module system that plugs into every major embedding provider. Run it yourself or use Weaviate Cloud; a strong middle path between control and convenience.
Vector DatabasesOpen SourceEstablishedFrom Free (self-hosted) / Cloud from $25 per month
LangChainLlamaIndexOpenAI/Cohere/Hugging Face modulesKubernetesGraphQL & REST APIs
Strengths
+True open source with a first-class managed cloud
+Native hybrid (BM25 + vector) search and reranking
+Multi-tenancy designed for SaaS builders
Limitations
-Operating large self-hosted clusters requires expertise
-GraphQL API adds a learning curve
-Resource-hungry at very large scale without tuning
Evidence behind this score
Every TIP Score is backed by verifiable claims. Data is a curated snapshot, always confirm current terms with the vendor.
Claim
Source
As of
BSD-3 licensed core with 12K+ GitHub stars
GitHub repository
Sep 2025
SOC 2 Type 2 for Weaviate Cloud
Weaviate trust page
Apr 2025
Native multi-tenancy supports millions of tenants per cluster
Weaviate documentation
Mar 2025
Intelligence on Weaviate
Fundingmedium impactNov 20, 2025
Vector database market bifurcates: managed convenience vs. open performance
Funding and adoption data show Pinecone consolidating compliance-sensitive enterprise workloads while Qdrant and Weaviate grow fastest among self-hosting startups. Choose by ops capacity, not hype.
RAG quality studies highlight parsing as the biggest lever
Multiple evaluations found document parsing quality moves retrieval accuracy more than embedding model choice, validating investment in parsing layers like LlamaParse before swapping vector stores.