AlloyDB AI vs Chroma
AlloyDB AI
cloud.google.com
Chroma
trychroma.comSide by side
| Figure | AlloyDB AI | Chroma |
|---|---|---|
| Price from | — | $250/mo |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Ai Databases | 8.1 (#10) | 9.4 (#1) |
| Deployment | AlloyDB Omni is a downloadable AlloyDB edition for on-premises, air-gapped, edge, or multicloud deployments. | The maker says Chroma can run locally with pip, npm, or Docker, on Chroma Cloud, or in a customer’s own VPC. |
| Framework integrations | The product page names Agent Development Kit, LangChain, and LlamaIndex as orchestration framework integrations. | Documented framework integrations include LangChain, LlamaIndex, Haystack, Streamlit, and DeepEval. |
| Purpose | AlloyDB AI integrates vector embeddings, high-performance vector search, and natural language into a PostgreSQL-compatible database for building AI agents and apps. | Chroma is open-source data infrastructure for AI that stores embeddings and metadata and supports search and retrieval across text, images, and other modalities. |
| Vector search | Its ScaNN index supports pgvector-compatible semantic search and is described as scaling to over 10 billion vectors. | The product supports semantic similarity search over dense vector embeddings. |
Plans
In their own words
AlloyDB AI
AlloyDB AI has no write-up on Specifiction yet; its figures are above.
Chroma
Chroma is open-source infrastructure for storing embeddings and metadata, then searching and retrieving information across text, images, and other modalities. Search options include dense, sparse, and hybrid vector search, plus full-text and regex search and metadata filtering. It can run locally through pip, npm, or Docker, on Chroma Cloud, or in a customer’s own VPC. The maker says its Apache 2.0-licensed codebase powers both the open-source database and Chroma Cloud. Documented integrations include embedding providers such as OpenAI, Cohere, Google Gemini, Hugging Face, Jina AI, and Ollama, and frameworks such as LangChain, LlamaIndex, Haystack, Streamlit, and DeepEval. Cloud security features include encryption in transit and at rest, SSO, role-based access control, and employee MFA; Chroma Cloud has completed a SOC 2 Type II examination. Starter is free, with 10 databases and 10 team members. Team is $250 a month plus usage and includes $100 credits, 100 databases, and 30 team members.