Isolated Postgres projects
Each project receives its own Postgres database and compute, alongside Realtime and Storage, rather than sharing a logical database. The database supports SQL and row-level security.
Powabase
Freemium
A Postgres backend for AI applications with built-in retrieval, agents, auth, and storage.
Powabaseとは？
Powabase is a backend-as-a-service for AI applications built around a dedicated Postgres stack for each project. It combines database access, authentication, object storage, and realtime services with document ingestion, retrieval, agent execution, and workflows. Applications can use its REST API or connect directly to Postgres. Teams can run the open-source stack on their own infrastructure or use Powabase Cloud for managed provisioning, backups, updates, and scaling.
Powabaseでできること
Document ingestion and retrieval
Upload PDFs, images, office files, or URLs for extraction, chunking, embedding, and indexing. Search options include pgvector, BM25, hybrid retrieval, and reranking.
Agents with tools and sessions
Create agents and multi-agent orchestrations that use knowledge bases and tools over HTTP or MCP. Runs can stream over SSE; sessions are stored in the project's Postgres, with human approval available for sensitive tool calls.
Visual workflows
Compose multi-step flows from triggers, conditions, agents, HTTP calls, and code. A natural-language copilot can help design a workflow, which can be deployed as an HTTP endpoint.
Backend services and APIs
Use authentication, object storage, and realtime alongside PostgREST, a REST API, or a direct database connection. Powabase also exposes a GraphQL-style API.
Managed cloud or self-hosting
Use managed cloud projects with provisioning, backups, updates, and scaling, or run the Apache-2.0 single-project stack with Docker Compose on your own infrastructure.
利用シーン
“Build a document-answering application”
Ingest product manuals, policies, or other source files and let an application retrieve relevant passages from its project knowledge base when responding to user questions.
“Add an action-taking support agent”
Run a support agent against product documentation, connect it to internal services through HTTP or MCP tools, and stream its responses to a website.
“Generate an AI application with a coding agent”
Connect tools such as Claude Code, Codex, Replit, Lovable, or v0 through the agent skill, REST API, or auth guide, then use Powabase for the generated application's backend.
“Orchestrate multi-step AI tasks”
Combine agents, conditions, triggers, HTTP requests, and code in a workflow, then expose the deployed flow through an HTTP endpoint.
“Choose a self-managed deployment”
Run the open-source stack on local or private infrastructure when a team wants to operate its own Postgres-based backend rather than use managed cloud hosting.
よくある質問
Can Powabase be self-hosted?
Yes. The Apache-2.0 edition runs as a single-project stack with Docker Compose and does not require a control plane or account. Enterprise options also include private hosting in a VPC or on-premises.
How do applications connect to a project?
Projects expose a REST API. Server-side calls to the /api/* surface use the Service Role (Secret) Key; client-side calls can use the Anon key and are subject to row-level security. Direct database connections are also supported.
Can I use my own language-model provider keys?
Yes. The pricing page lists keys for OpenAI, Anthropic, Google, and OpenRouter. Keys are stored per project and encrypted at rest. The cloud service also offers inference billed against Powabase credits.
What does managed cloud hosting include?
Powabase Cloud provisions projects and handles backups, updates, and scaling. Each project runs on its own isolated stack; paid plans include monthly credits that can be applied to usage.
How does Powabase compare with Firebase?
Powabase is centered on relational data and SQL with Postgres, and includes document ingestion, retrieval, and an agent runtime. Firebase centers on Firestore and has strong mobile SDKs; the source recommends it for mobile-first apps built around Firestore and Google's SDKs.
クイック情報
- Product category
- Postgres backend-as-a-service for AI applications
- Deployment
- Managed cloud or Apache-2.0 self-hosted stack
- Database
- Dedicated Postgres instance per project
- API access
- REST API, PostgREST, and direct database connection
- AI capabilities
- Document retrieval, agents, and visual workflows
- Website
- powabase.ai
Powabase のトラフィック分析
トラフィックデータは参考情報としてご利用ください。
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