AlloyDB AI
AlloyDB AI: A broad PostgreSQL-compatible database layer for search-heavy AI applications. Ranked #28 of 42 in Vector Database Hosting by our editors (6.5/10); pricing: 30-day trial; best for postgreSQL-compatible AI applications.
At a glance
- Editor score6.5 / 10
- Pricing30-day trial
- Best forPostgreSQL-compatible AI applications
- Free planNo
- Facts checked22 Sep 2026
Where it wins
- ScaNN and HNSW indexes with hybrid keyword-semantic search
- SQL metadata filtering and automatic embedding generation
- Integrations with Gemini, OpenAI, Anthropic, and AI frameworks
Where it doesn't
- It is not a standalone vector-database billing product
- The managed service runs in Google Cloud
- Model-provider charges may apply
Our verdict on AlloyDB AI
AlloyDB AI adds vector search and AI application features to AlloyDB for PostgreSQL and AlloyDB Omni. It is designed for developers and organizations building retrieval-augmented generation systems, AI agents, and data applications on PostgreSQL-compatible operational data. The feature set includes PostgreSQL-compatible vector search, ScaNN and HNSW indexes, hybrid keyword and semantic search, structured SQL filtering, automatic embeddings, in-database model invocation, natural-language database queries, and automatic index maintenance. Deployment options cover Google Cloud through managed AlloyDB and downloadable AlloyDB Omni for on-premises, edge, air-gapped, and multicloud environments.
The published trial offering provides 30 days in a free trial cluster, with up to 1 TB of storage, an 8 vCPU primary instance, and one 8 vCPU read pool. AlloyDB AI itself is available at no additional charge, while the underlying AlloyDB service is priced through usage components and model-provider charges may apply. This makes the product worth evaluating for teams that want AI capabilities within a PostgreSQL-compatible database, but buyers should assess the full service and model cost structure rather than treating it as a separately priced vector store.
Its ecosystem fit is a central strength. AlloyDB AI connects with Gemini, OpenAI, Anthropic, LangChain, LlamaIndex, and the Agent Development Kit, while supporting multi-region deployment and serverless scaling. The broader database scope is useful when vector search must coexist with SQL filtering, keyword search, embeddings, and application data. Choose AlloyDB AI when PostgreSQL compatibility and integrated AI development matter more than a narrow vector-database service. Consider an alternative if you need a standalone vector-database billing product or do not want the managed deployment centered on Google Cloud.
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AlloyDB AI pricing
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AlloyDB AI fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Included storage | Not verified |
| Hybrid search | Yes |
| Metadata filtering | Yes |
| Serverless scaling | Yes |
| Deployment regions | Multi-region |
| Maximum dimensions | Not verified |
| Free trial | 30 days · no card needed |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Support | Community, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 6 integrations: Gemini, OpenAI, Anthropic, LangChain, LlamaIndex, Agent Development Kit |
| Pricing | 30-day trial (source) |
| Website | cloud.google.com |
| Facts checked | 22 Sep 2026 |
AlloyDB AI integrations
AlloyDB AI lists 6 integrations on its own site.
- Gemini
- OpenAI
- Anthropic
- LangChain
- LlamaIndex
- Agent Development Kit
Alternatives to AlloyDB AI
- ChromaA flexible vector database for hybrid retrieval, multimodal search, and self-hosted AI applications.9.4
- QdrantA flexible vector database for semantic, hybrid, and filtered search at scale.9.3
- WeaviateA flexible vector database for production hybrid search across cloud and self-managed deployments.9.1
See all AlloyDB AI alternatives →
Also Ranked In
AlloyDB AI is ranked in 4 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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