appwrite vs duckdb

Two of the top projects in Backends, databases and hosting, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.

33rd of 173 in Backends, databases and hosting

appwrite

Backend with auth, databases, storage, functions and an MCP server for agents

#66th of 173 in Backends, databases and hosting

duckdb

In-process analytical SQL database that queries CSV, Parquet and JSON files directly

Verdict

appwrite ranks higher, 93 to 92. Of the 3 score parts we measure for both, appwrite leads on 1, duckdb on none and 2 are even.

  • Adoptionappwrite leads by 3 points, 95 to 92: close to even.
  • FreshnessEven at 100.
  • MaintenanceWe do not score duckdb on this; appwrite has 91.
  • Agent-readyEven at 70.

Pick appwrite if you are

Developers needing a self-hosted or cloud backend for web, mobile and agent apps

  • Covers auth, databases, storage, functions, messaging and realtime in one backend
  • SDKs for Web, Flutter, Apple, Android, Node.js, Python, Go, Rust and more

Pick duckdb if you are

Developers needing embedded SQL analytics over local or remote data files

  • Runs in-process with no server and no external dependencies
  • Queries files by name in FROM, e.g. SELECT * FROM 'myfile.parquet'
appwrite vs duckdb: score parts and facts
What we compareappwriteduckdb
Score parts, out of 100
Adoption95, widely used92, widely used
Freshness100, active100, active
Maintenance91, healthyNot scored for this kind
Agent-ready70, partly70, partly
Facts from GitHub and the README
Stars58.1k43k
LicenseBSD-3-Clause (permissive)MIT (permissive)
Last commitNov 2026Nov 2026
Last releaseNov 2026Oct 2026
LanguageTypeScriptC++
DockerYesNo
GPUNot neededNot stated
arm64 or Apple SiliconMentionedNot stated

appwrite

Appwrite is a backend platform that bundles Auth, Databases, Storage, Functions, Sites, Messaging, Realtime and a Firewall behind REST, GraphQL and WebSocket APIs. It has client and server SDKs for 16 platforms and a hosted MCP server so coding agents can operate on a live project. It runs as a managed cloud or is self-hosted through a Docker-based installer.

Who it is for: Developers needing a self-hosted or cloud backend for web, mobile and agent apps

Strengths

  • Covers auth, databases, storage, functions, messaging and realtime in one backend
  • SDKs for Web, Flutter, Apple, Android, Node.js, Python, Go, Rust and more
  • Exposes REST, GraphQL and WebSocket APIs
  • Hosted MCP server uses OAuth, so no API keys are needed on Cloud

Weaknesses

  • Self-hosting needs Docker and mounts the Docker socket for the installer
  • Hosted MCP is for Cloud; self-hosted instances need a separate local MCP server
  • Hybrid monolith with queue, workers and cache means several services to operate
  • no GPU
  • Docker + Compose
  • Needs Docker
  • port 80

duckdb

DuckDB is an embedded analytical database written in C++ that runs inside the host application, with no separate server. It reads and writes CSV, Parquet, JSON and Excel from local disk or S3, HTTP, Azure and GCS, and can attach PostgreSQL, MySQL and SQLite databases. It ships as a CLI and as clients for Python, R, Java, Rust, Go and Wasm. It is not an AI project; it fits this list only as a data backend.

Who it is for: Developers needing embedded SQL analytics over local or remote data files

Strengths

  • Runs in-process with no server and no external dependencies
  • Queries files by name in FROM, e.g. SELECT * FROM 'myfile.parquet'
  • Attaches PostgreSQL, MySQL and SQLite and queries them in place
  • Extension system for formats, connectors and functions; clients for many languages

Weaknesses

  • No AI, LLM or vector features described in the README
  • Built for analytics (OLAP), not as a general multi-user application backend
  • No auth, storage API or hosting layer; embedding or the quack protocol is the access path
  • Building from source needs CMake, Python 3 and a C++17 compiler

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