Tools
Chroma vs Qdrant
Chroma or Qdrant? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In short
- Both: Command line, Self-hosted, API, Official SDKs, Search over your data
- Only Chroma states: Knows the whole codebase, Choice of models, Builds agents and workflows
- Only Qdrant states: Runs models for you
Chroma
Open-source infrastructure for storing, indexing, and searching data for AI applications.
Plans
Starter
Free
- 10 databases
- 10 team members
- Community Slack
Team
- $250 /month
- 100 databases
- 30 team members
- Slack support
- SOC II
- Volume-based discounts
Enterprise
Price on request
- Unlimited databases
- Unlimited team members
- Dedicated support
- Single tenant clusters
- BYOC clusters
- SLAs
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Knows the whole codebase — “Index codebases to power coding agents using AST-aware chunking.” source
- Command line — “Command-line tools for development” source
- Choice of models — “Use any embedding model. OpenAI, Cohere, Hugging Face, sentence-transformers, and more.” source
- Self-hosted — “Run it locally, self-host, or use Chroma Cloud for a managed, serverless experience.” source
- API — “Schema() and Search() APIs” source
- Official SDKs — “Create a self-hosted or cloud database and add data to it using the Chroma SDK.” source
- Builds agents and workflows — “Build agents that iteratively search and refine results for complex queries.” source
- Search over your data — “store embeddings with metadata, search with dense and sparse vectors, filter by metadata, and retrieve across text, images, and more.” source
Security
- SOC 2 Type II — “Our security program has been independently assessed through a SOC 2 Type II examination, validating the design of our security controls.” source
- SOC 2 — “Our security program has been independently assessed through a SOC 2 Type II examination, validating the design of our security controls.” source
Qdrant
Qdrant is an open-source vector search engine and managed cloud service for semantic search, RAG, recommendations, and AI agents.
Plans
Free Tier
Free
- Free forever
- Single Node Cluster
- 0.5 vCPU / 1GB RAM / 4 GB Disk
- Free Cloud Inference With Selected Models
Standard Tier
- from 25$
- Usage-based pricing
- Dedicated Resources
- Flexible Vertical and Horizontal Scaling
- Highly Available Setups
- Backup & Disaster Recovery
- 99.5% Uptime SLA
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Command line — “API, Terraform, Pulumi, CLI” source
- Self-hosted — “Open-source DNA with enterprise-grade security and flexibility — run on-prem, hybrid, edge, or move seamlessly to Qdrant Cloud.” source
- API — “Start with a single API call — scale to advanced control over HNSW, hybrid fusion, reranking, and multi-vector retrieval, all via REST, gRPC, or official clients (Python, JavaScript, etc.).” source
- Official SDKs — “official clients (Python, JavaScript, etc.).” source
- Runs models for you — “Generate text and image embeddings and run vector search in Qdrant Cloud — no separate pipeline or infrastructure needed.” source
- Search over your data — “Deliver context-rich answers with hybrid dense – sparse retrieval, metadata filters, and fresh updates.” source
Security
- SOC 2 Type II — “Qdrant holds SOC 2 Type 2 and HIPAA certifications.” source
- SOC 2 — “Qdrant holds SOC 2 Type 2 and HIPAA certifications.” source
- GDPR — “For deployments subject to GDPR, Qdrant provides a Data Processing Agreement covering data protection and privacy commitments.” source
- HIPAA — “Qdrant is HIPAA certified and Business Associate Agreement is available for Qdrant Managed Cloud.” source
- Data kept in the EU — “Data in Qdrant clusters stored only in the cluster's deployment region.” source
Latest updates
- v1.19.0 (v1.19.0)
Added 4-bit TurboQuant storage, per-component memory controls, keyword prefix filters, and per-query IDF for sparse search.
- v1.18.0 (v1.18.0)
- v1.17.0 (v1.17.0)
Added relevance feedback, optimization and telemetry APIs, update queue and controls, audit logging, weighted RRF, and upsert modes.