COMPARISON

The Firebase alternative for AI apps on Postgres

Firebase is Google's app platform. It centers on Firestore, a NoSQL database, and has strong mobile SDKs. Powabase is a Postgres backend with document ingestion, retrieval, and an agent runtime built in, and every project gets its own Postgres instance. If your AI app needs SQL plus RAG and agents in one place, pick Powabase. Building mobile-first around Firestore and Google's SDKs? Firebase fits.

Last reviewed: September 24, 2026

THE SHORT VERSION

Which one fits you.

Choose Powabase if…

  • You want relational data and SQL, with each project on its own Postgres instance.
  • You want documents extracted, embedded, and indexed for you. A place to store vectors you generate yourself isn't enough.
  • You want agents that run on your backend with tools, MCP servers, sessions, and a human approval step.
  • You want to self-host the open-source stack, or keep that option open.

Choose Firebase if…

  • You're building a mobile-first app that needs offline sync and Google's mobile SDKs.
  • Your stack is built around Firestore and Google Analytics or Crashlytics.
  • You want to call Gemini straight from the client with Firebase AI Logic.

COMPARISON TABLE

Powabase vs. Firebase.

  • Database[1][2][5]

    Powabase: Postgres, its own instance per project

    Firebase: Firestore, a NoSQL document database

  • SQL[3][4][5]

    Powabase: Postgres is the main database, with SQL, joins, and pgvector in every project

    Firebase: SQL Connect (formerly Data Connect): managed Postgres on Cloud SQL

  • Auth, storage, APIs[5][6]

    Powabase: GoTrue auth, object storage, and PostgREST APIs over your tables

    Firebase: Firebase Auth, Cloud Storage, and client SDKs to Firestore guarded by Security Rules

  • Retrieval[3][7][8]

    Powabase: Vector, full-text (BM25), hybrid, and tree search, with an optional reranker

    Firebase: Firestore KNN search up to 2,048 dimensions; vector search in SQL Connect

  • Embeddings[7][8][9][10]

    Powabase: Generated and indexed for you on upload, with five indexing strategies

    Firebase: Firestore doesn't generate them; you generate them, or use Google's Vector Search extension (Firebase Extensions shuts down March 2027)

  • Document extraction[11][12]

    Powabase: Managed: PDF, Word, PowerPoint, Excel, and images via OCR

    Firebase: No built-in ingestion for RAG

  • Model access[12][20]

    Powabase: Server-side; bring your own provider keys or pay in credits

    Firebase: AI Logic: client SDKs that call Gemini, protected by App Check

  • Agent runtime[13][14][15][16]

    Powabase: Managed ReAct agents with built-in, HTTP, and MCP tools, sessions, and approval hooks

    Firebase: No managed runtime; Genkit is an open-source framework you host

  • Multi-agent and workflows[14][16][17][18]

    Powabase: Supervisor, sequential, and parallel orchestrations; workflows started by API, webhook, or cron

    Firebase: Genkit flows you write, deploy, and host

  • Self-hosting[5][19]

    Powabase: Apache-2.0 single-project stack via Docker Compose

    Firebase: None; the emulators aren't for production

WHAT POWABASE ADDS

On top of the database.

  • Managed RAG

    Upload PDFs, Word, PowerPoint, Excel, or images. Powabase pulls out the text (with OCR for scans), generates the embeddings, and indexes them using one of five strategies. Search by vector, full-text, hybrid, or tree search, with an optional reranker on top.

    Read the docs →

  • An agent runtime

    Agents run a ReAct loop on the server. Each one gets eight built-in tools plus your own HTTP tools and MCP servers, runs keep their session history, and a hook can hold a step until a person approves it. There's no framework for you to deploy or host.

    Read the docs →

  • Workflows

    Chain agents and other steps into a block graph, then start it by API, by webhook, or on a cron schedule. You can also describe what you want and let the copilot draft the graph.

    Read the docs →

RIGHT FIT

When Firebase fits the job.

  • You're building a mobile-first app. Firebase has Android, iOS, and Flutter SDKs with offline sync. Persistence is on by default on Android and Apple, and realtime listeners push changes to the client.
  • Your product runs on Google's app tooling. Analytics, Crashlytics, Remote Config, A/B Testing, Cloud Messaging, and App Check all ship as part of Firebase.
  • You want to call Gemini directly from your app. Firebase AI Logic gives you client SDKs for exactly that, with function calling and grounding with Google Search, protected by App Check.
  • Your data model is built on Firestore documents and your app has no need for SQL, document search, or agents.

COEXISTENCE & MIGRATION

Use both, or move over.

Keep Firebase, add Powabase

Keep Firebase Auth, Firestore, and your mobile SDKs, and put the AI layer in a Powabase project. Upload documents to a knowledge base, define agents and workflows, then call our REST API from Cloud Functions or your own server. The Powabase service key belongs on the server, never in the app.

Migrate from Firebase

Data in SQL Connect is already Postgres on Cloud SQL. pg_dump it and restore it into your Powabase project in a single transaction, since Powabase's Postgres URL is a transaction-mode pooler, and test the restore on a copy first. Firestore data is documents rather than tables, so design the tables first and then load the data over that same connection. Firebase Auth users and stored files move as separate steps.[21][3]

FAQ

Questions.

Yes. Powabase gives every project its own Postgres instance with auth, storage, realtime, and REST APIs, plus pgvector, managed RAG, and an agent runtime. Firebase now offers Postgres as well, through SQL Connect (formerly Data Connect), which runs managed Postgres on Cloud SQL.

Yes. Firestore has KNN vector search up to 2,048 dimensions, but it doesn't generate embeddings. You create them yourself or use Google's Vector Search with Firestore extension, and that extension goes away when Firebase Extensions shuts down in March 2027. Powabase extracts your documents, generates the embeddings, and indexes them for you.

Not as a managed runtime. Firebase AI Logic gives you client SDKs that call Gemini with function calling. Genkit is an open-source framework you deploy yourself, for example on Cloud Functions for Firebase or Cloud Run. Powabase runs agents on the server for you, with built-in tools, HTTP and MCP tools, sessions, and human approval.

No. The Firebase Emulator Suite is for local development, and Google says not to use the emulators as self-hosted Firebase in production. Our open-source edition is Apache-2.0 and runs as a single-project stack with docker compose.

Yes. Point it at our hosted MCP server, https://mcp.powabase.ai/mcp. It signs in with OAuth, and from there the agent can run SQL, manage auth users and storage, and create and run knowledge bases, agents, and workflows. You can also install the Powabase Agent Skill with npx skills add powabase-ai/agent-skills.

Yes. Firebase Auth and Firestore keep running your app, and you call the Powabase REST API from Cloud Functions or your own server for document search and agent runs. Keep the Powabase service key on the server, never in the mobile client.

Sources

  1. https://firebase.google.com/docs/firestore/manage-data/enable-offline: Firestore is a NoSQL document database.
  2. https://docs.powabase.ai/concepts/architecture: Each Powabase project gets its own Postgres database and service pods.
  3. https://firebase.google.com/docs/sql-connect: SQL Connect is managed PostgreSQL via Cloud SQL and supports vector search.
  4. https://firebase.blog/posts/2026/04/whats-new-sql-connect/: Data Connect was renamed Firebase SQL Connect.
  5. https://github.com/powabase-ai/powabase: Powabase runs GoTrue, PostgREST, Storage, and Realtime on Postgres with pgvector, and is Apache-2.0 as a single-project Docker Compose stack.
  6. https://firebase.google.com/docs/rules: Firebase Security Rules guard client access to Firestore and Cloud Storage.
  7. https://firebase.google.com/docs/firestore/vector-search: Firestore KNN vector search up to 2,048 dimensions; Firestore does not generate the embeddings.
  8. https://docs.powabase.ai/concepts/knowledge-bases-indexing: Indexing runs automatically when a source is added; five indexing strategies; vector, full-text, hybrid, and tree search; optional cross-encoder reranking.
  9. https://extensions.dev/extensions/googlecloud/firestore-vector-search: Google's Vector Search with Firestore extension calculates embeddings for documents.
  10. https://firebase.google.com/docs/extensions/faq-and-troubleshooting: Firebase Extensions is deprecated and shuts down on March 31, 2027.
  11. https://docs.powabase.ai/concepts/sources-extraction: Powabase extracts PDF, Word, PowerPoint, Excel, and images (via OCR).
  12. https://firebase.google.com/docs/ai-logic: Firebase AI Logic: client SDKs that call Gemini, protected by App Check, with function calling and grounding; no built-in RAG or agent runtime described.
  13. https://docs.powabase.ai/concepts/agents-tools: Powabase agents: ReAct loop, eight built-in tools, custom HTTP tools, MCP servers, sessions, hooks, and human approval.
  14. https://github.com/genkit-ai/genkit: Genkit is an open-source (Apache-2.0) framework for building agentic apps; JS and Go stable, Python beta, Dart preview.
  15. https://genkit.dev/docs/js/overview/: Genkit runs anywhere you deploy it, such as Cloud Run, not only on Firebase.
  16. https://firebase.google.com/docs/functions/oncallgenkit: Genkit flows can be deployed on Cloud Functions for Firebase.
  17. https://docs.powabase.ai/concepts/orchestrations-concept: Powabase orchestrations: supervisor, sequential, and parallel strategies.
  18. https://docs.powabase.ai/concepts/workflows-concept: Powabase workflows: block graphs with API, webhook, and schedule (interval or cron) triggers, plus a copilot.
  19. https://firebase.google.com/docs/emulator-suite: Firebase says not to use the emulators as self-hosted versions of Firebase services in production.
  20. https://powabase.ai/pricing/: Powabase bills usage in credits; LLM inference uses your own provider key or is paid through Powabase.
  21. https://docs.powabase.ai/guides/connection-pooling: All external Postgres connections to Powabase go through PgBouncer in transaction mode.