Compare Chroma and Supabase side by side. Both are tools in the Vector Databases category.
Updated March 1, 2026
Choose Chroma if extremely simple to set up and beginner-friendly.
| Category | Vector Databases | Vector Databases |
| Pricing | Open Source | freemium |
| Best For | Python developers who want a simple, embedded vector database for prototyping | Full-stack developers building AI apps |
| Website | trychroma.com | supabase.com |
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Key criteria to evaluate when comparing Vector Databases solutions:
Chroma is an open-source embedding database designed for simplicity and developer experience, licensed under Apache 2.0. It provides a lightweight, easy-to-use API for storing, querying, and filtering embeddings locally or in the cloud.
Chroma is the default vector store in many LLM frameworks like LangChain and LlamaIndex, making it extremely popular for prototyping and building RAG applications quickly. The managed Chroma Cloud service offers serverless deployment with usage-based pricing, while the self-hosted version runs on a single node at no cost.
The company achieved SOC 2 Type II compliance for enterprise deployments and offers Chroma Cloud with features including BYOC in your VPC, multi-cloud/multi-region replication, and point-in-time recovery. Chroma is rated 4.2/5 on G2.
The #1 platform for pgvector. Open-source Firebase alternative with built-in vector search via Postgres.
Purpose-built databases for storing, indexing, and querying high-dimensional vector embeddings used in semantic search, RAG, and recommendation systems.
Browse all Vector Databases tools →