Weaviate vs Chroma
Open-source vector DB with hybrid search + modular embeddings
vs. Open-source vector DB designed for AI apps — embeddings-first, dev-friendly
Pricing tiers
Weaviate
Sandbox (14-day trial)
14-day free trial. Shared cloud cluster. 250 Query Agent req/month.
$0 base (usage-based)
Self-Hosted (OSS)
BSD-3 licensed. Run free on your infra.
$0 base (usage-based)
Flex
From $45/mo pay-as-you-go. Shared HA cluster. 99.5% uptime. 30k Query Agent reqs/mo.
$45/mo
Premium
From $400/mo prepaid. Shared or dedicated. 99.95% uptime. SSO/SAML. Unlimited Query Agent. HIPAA on AWS.
$400/mo
Enterprise
Custom. BYOC / private deployment.
Custom
Chroma
Cloud — Free
$5 free credits. Great for trying it out.
Free
Cloud — Pro
$100 credits included, then usage-based. Dedicated resources, SOC2, priority support.
$0 base (usage-based)
Self-Host (OSS)
MIT-licensed. Embedded or Docker. Free forever.
$0 base (usage-based)
Cloud — Enterprise
Custom. VPC, compliance, dedicated support.
Custom
Free-tier quotas head-to-head
Comparing sandbox on Weaviate vs cloud-free on Chroma.
| Metric | Weaviate | Chroma |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Weaviate · 13 features
- Backups — S3, GCS, Azure Blob backup destinations.
- BYOC — Run managed Weaviate in your own cloud account.
- Compression (PQ/BQ/RQ) — Reduce vector memory footprint by up to 32x.
- Dynamic Indexing — HNSW + flat + dynamic index selection.
- Generative Search — Search + RAG answers in one API call.
- Hybrid Search — Combine BM25 + dense vector search in one query.
- Modular Vectorizers — 60+ plug-in vectorizers + generative AI modules.
- Multi-Tenancy — Per-tenant isolated vector stores in one cluster.
- Query Agent (AI) — Agentic natural-language query generator.
- RBAC — Role-based access control for collections + tenants.
- Replication — Multi-node async + sync replication.
- Self-Host (OSS) — BSD-3 licensed. Docker + k8s Helm.
- Structured Filters — Metadata filters pre + post vector search.
Chroma · 11 features
- Client-Server Mode — Run Chroma via Docker; clients connect over HTTP.
- Collections — Named groups of embeddings + metadata.
- Distributed (Cloud) — Horizontal scaling on Chroma Cloud.
- Embedded Mode — In-process Python — chromadb.Client() and go. Zero setup.
- Embedding Functions — Plug-in embedders (OpenAI, Cohere, SentenceTransformers, HF).
- Full-Text Search — BM25 + vector hybrid.
- Metadata Filters — Where-clause query language.
- Migration Tools — Import from Pinecone + other stores.
- Multi-Modal — Text + image embeddings (CLIP, etc.).
- Python + JS APIs — Same API shape across both SDKs.
- Serverless Cloud — Pay for storage + queries, auto-scale.
Developer interfaces
| Kind | Weaviate | Chroma |
|---|---|---|
| SDK | weaviate-client, weaviate-go-client, weaviate-java-client, weaviate-ts-client | chromadb (JS/TS), chromadb (Python) |
| REST | Weaviate REST API | Chroma HTTP API |
| GRAPHQL | Weaviate GraphQL | — |
| MCP | Weaviate MCP | Chroma MCP |
| OTHER | Weaviate gRPC | Docker Server, Embedded Mode (in-process Python) |
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