// scorecard · 43/100
verified 1mo agoAgent-readiness23/35
Agent registration (api_key)6/9
Public API5/5
OpenAPI spec0/9
MCP server9/9
llms.txt3/3
Reliability & performance0/15
Actively maintained—
Production-ready0/4
Updated recently—
Pricing6/13
Itemized public pricing6/6
Free tier / trial0/4
Free-tier generosity—
Docs & DX2/12
Docs quality—
Public API2/2
Quickstart / examples0/2
Security & compliance8/12
SOC 26/6
ISO 270010/2
GDPR0/2
Security / trust page2/2
Openness4/10
Open source0/6
Open / un-gated API4/4
Company maturity0/3
Company size—
Years operating—
// rankings · cost per standard workload
#6 in Vector Databases$29.05/ 1M vectors
Usage m1: writes $7.15 + storage $0.94 + reads $20.95 = $29.05/mo (~$22 steady)
docs.trychroma.com/cloud/pricing// overview
Chroma provides open-source search infrastructure for AI, offering fast serverless scalable support for vector, full-text, regex, and metadata search built on object storage. It includes sparse vector (BM25/SPLADE), semantic, trigram/regex, metadata/faceted, and forking/versioning capabilities with CLI tools in Python/TypeScript/Rust. Performance features low-latency queries over billions of records with automatic tiering on S3/GCS and zero-ops scaling.
Best for: AI products and apps needing scalable multi-tenant search over large datasets
// pricing
Starter$0/month + usage
- 10 databases
- 10 team members
- $5 free credits
Team$250/month + usage
- 100 databases
- 30 team members
- $100 credits
- Slack support
- SOC II
EnterpriseCustom
- Unlimited databases
- Unlimited team members
- Dedicated support
- Single tenant/BYOC clusters
- SLAs
// security & compliance
✓ SOC 2✗ ISO 27001✗ GDPR✗ HIPAA
// features
- Sparse vector search (BM25, SPLADE)
- Vector search
- Full-text/trigram/regex search
- Metadata filtering and faceted search
- Dataset forking/versioning for A/B testing
- CLI and SDKs (Python/TypeScript/Rust)