Qdrant vs Chroma

A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.

Qdrant Rust vector search engine built for filtering-heavy AI workloads Visit Chroma Simple open-source vector and full-text search, from laptop to cloud Visit
RECATOOLS Score 8.7 / 10 7.5 / 10
Capability 9 7
Value for money 9 8
Ease of use 6 8
ASEAN readiness 6 6
API quality 9 8
Pricing Open Source Open Source
Free tier Free forever cluster: 1 node, 0.5 vCPU, 1GB RAM, 4GB disk (~1M 768-dim vectors per docs), no card; suspended after 1 week idle. Self-hosted engine free (Apache-2.0) Open-source core free under Apache 2.0. Chroma Cloud Starter $0 + usage with $5 free credits, 10 databases, 10 team members
Paid from Standard: usage-based, billed hourly on vCPU, RAM, disk and backups Chroma Cloud Team $250/mo + usage
Has API ✓ ✓
Open source ✓ ✓
Free to use ✓ ✓
Users — —
Founded 2021 2022
Maker Independent (Qdrant Solutions GmbH) Independent (Chroma Inc.)
Verdict

Qdrant is one of the strongest open-source vector databases, especially where search has to be combined with complex filters, and its free cloud cluster and permissive licence make it easy to start. Its performance claim...

Chroma remains the friendliest way to add vector search to an AI app, with a smooth path from an embedded library to a managed cloud that now has enterprise features such as private networking and an EU region. Its own f...

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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.