Appwrite vs Powabase

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Entry price: The same for both — $25/mo
Free plan: Both have one
Public API: Both have one
Higher Trust score: Appwrite — 93 vs 77 for Powabase
Best fit: Appwrite: Developers who want one backend (auth, database, storage, functions) instead of assembling several services · Powabase: Teams rebuilding the same Postgres plus RAG plus agent stack on every project

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

AppwriteOpen-source backend platform (auth, database, storage, functions) increasingly pitched as the data layer under AI agents and RAG apps.

PowabasePostgres backend bundled with a RAG pipeline, agent runtime and a visual workflow builder

Side by side

Fact	Appwrite	Powabase
Category	Vector Databases & RAG	Vector Databases & RAG
Pricing model	Freemium	Freemium
Starts at	$25/mo	$25/mo
Public API	Yes	Yes
Trust score	93 / 100	77 / 100
Platforms	Web, API	Web, API
Company	Appwrite	Agentic Enterprise Solutions, Inc.
Launched	2019	—
Last verified	Oct 15, 2026	Oct 15, 2026

What our research says

Appwrite

Appwrite is a mature, open-source backend platform rather than an AI product itself, and it has grown into a credible data layer for AI apps: VectorsDB now handles embeddings and similarity search next to auth, functions and storage, so a small RAG or agent project no longer needs a separate vector store. Teams with very large vector workloads or exotic retrieval needs will still compare it against a dedicated vector database.

Pros

Open-source with a large GitHub community, so self-hosting is a real option
Covers auth, databases, storage, functions, and realtime in one platform instead of five
Native VectorsDB for embeddings and similarity search, plus an MCP server for coding agents
Free tier is usable for real small projects, not just a demo

Cons

Production usage at scale requires ongoing spend, and dedicated database compute is billed on top of Pro
The pricing model now spans plan fees, overage and per-database compute tiers, which takes work to forecast

Powabase

A Supabase-shaped backend with the retrieval and agent layers already wired in, so document ingestion, vector search and tool-calling agents come from the same project as your database and auth. Worth a look if you keep rebuilding that stack; the trade-off is that plan fees sit on top of usage credits, so the real bill depends on call volume rather than the sticker price.

Pros

Postgres, auth, storage, realtime, pgvector and an OCR document pipeline ship together
ReAct agent runtime supports multiple models, knowledge bases and tools with streaming
Visual workflow canvas with a natural-language copilot for assembling steps
Self-hostable under Apache-2.0 via Docker Compose, so the managed cloud is not a lock-in

Cons

Every paid plan bills usage credits on top of the monthly fee, so cost tracks call volume
Marketing claims about token savings and build cost carry no published methodology
Documentation and community are young compared with the database platforms it competes with

Which one fits

Choose Appwrite if you need

Developers who want one backend (auth, database, storage, functions) instead of assembling several services
Teams building AI agents or RAG apps that want vector search in the same backend as app data
Projects wanting an open-source, self-hostable option instead of a closed platform

Choose Powabase if you need

Teams rebuilding the same Postgres plus RAG plus agent stack on every project
Developers who want document OCR and pgvector search without stitching services
Anyone who needs the option to self-host the whole thing later