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APIs · head to head

Appwrite vs DuckDB

Appwrite logo

Appwrite

APIs

Open-source Backend as a Service with REST API and SDKs

From
Free
Rated
-
Full reviewWebsite
DuckDB logo

DuckDB

Databases

MIT-licensed analytical SQL database that runs inside your process, with no server, no dependencies and one writer at a time.

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Appwrite smaller ecosystem compared to Firebase; fewer third-party integrations and extensions; DuckDB a database file accepts one read-write process at a time; other processes must open it read-only and will not see subsequent writes, so DuckDB cannot be the shared database behind several services.
  • They diverge on capability: Appwrite covers REST API, DuckDB covers In-process execution.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Appwrite and DuckDB actually diverge.

Attributes where Appwrite and DuckDB differ
AttributeAppwriteDuckDB
Pricing modelUnknownopen-source
PlatformsCloud (Managed), Self-Hosted, DockerLinux, macOS, Windows, WebAssembly
CategoryAPIsDatabases

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), founded (2019).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Appwrite

  • REST API
  • Authentication
  • Database
  • Multiple SDKs
  • Cloud functions
  • File storage
  • Docker support
  • Self-hosted support

Only in DuckDB

  • In-process execution
  • Vectorised columnar engine
  • Direct file querying
  • Zero dependencies
  • Larger-than-memory queries
  • MIT licence
  • Postgres-flavoured SQL
  • Extension ecosystem

What people use each for

The jobs each tool is most often brought in to do.

Appwrite

  • API Developmentnot DuckDB
  • API Gatewaynot DuckDB
  • API Testingnot DuckDB
  • API Documentationnot DuckDB
  • Microservicesnot DuckDB

DuckDB

  • Transformation steps in a data pipeline that would otherwise need Spark, replaced by SQL over Parquet in a single processnot Appwrite
  • Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot Appwrite
  • Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot Appwrite
  • Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot Appwrite

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Appwrite

  • Smaller ecosystem compared to Firebase; fewer third-party integrations and extensions
  • Analytics, crash reporting, and A/B testing not included (Firebase includes these)
  • Requires infrastructure management for self-hosted deployments; not fully managed like Firebase Cloud
  • Mobile app support not as mature as Firebase's native iOS/Android SDKs

DuckDB

  • A database file accepts one read-write process at a time; other processes must open it read-only and will not see subsequent writes, so DuckDB cannot be the shared database behind several services.
  • There is no network protocol, authentication or user management, so exposing it to remote clients means writing and securing your own service around it.
  • It is built for scans and aggregations, not for many small transactions, so a workload of high-frequency single-row inserts and updates performs badly compared with SQLite or Postgres.
  • Storage files are backwards compatible but not forwards compatible, so a file written by a newer version cannot be read by an older one and every consumer of a shared file must be upgraded together.
  • Query memory settings matter: some operations still need to hold significant state, so an under-configured memory limit turns a large join or a high-cardinality aggregation into a spill-heavy query or an out-of-memory failure rather than a slow success.

Pricing, plan by plan

Appwrite

Free
  • Cloud FreeFree
    • 75K MAU
    • 10GB storage
    • Unlimited projects
  • Cloud Pro$15/month
    • More storage
    • Priority support

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Which should you pick?

Choose Appwrite if

  • You need rest api.
  • You want to start without paying.
  • You work on Cloud (Managed), Self-Hosted, Docker.
  • You also want authentication.
Appwrite review

Choose DuckDB if

  • You need in-process execution.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, WebAssembly.
  • You also want vectorised columnar engine.
DuckDB review

Questions people ask

Is Appwrite or DuckDB better?
Neither clearly leads. Appwrite starts at Free and DuckDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Appwrite or DuckDB?
Appwrite starts at Free and DuckDB at Free.
Does Appwrite or DuckDB run on more platforms?
Appwrite runs on Cloud (Managed), Self-Hosted, Docker. DuckDB runs on Linux, macOS, Windows, WebAssembly.
Can I use Appwrite for free?
Both have a free tier, so you can try either at no cost before committing.
What is Appwrite best used for?
Appwrite is most often used for api development, api gateway, api testing, api documentation. Of those, api development and api gateway are not what DuckDB is typically brought in for.
What can Appwrite do that DuckDB cannot?
Appwrite covers REST API, Authentication, Database, Multiple SDKs. DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies.

Answered from the vendors’ own pages

Appwrite: Can Appwrite be self-hosted?

Yes. Appwrite is fully open-source and self-hosted with a single Docker command. Self-hosting is completely free with no feature restrictions, unlike the managed Appwrite Cloud.

Source
DuckDB: Can multiple applications share one DuckDB database?

Not for writing. One process holds the database read-write; others may attach read-only and will not see later writes. Shared multi-writer access needs a different database or a table format with a catalogue.

Appwrite: What is Appwrite Cloud's pricing?

Appwrite Cloud offers a free tier with unlimited projects, 75K monthly active users, and 10GB storage with no time limit. Pro plan starts at $15/month per organization member. Scale plan at $599/month includes dedicated resources and SOC 2 compliance.

Source
DuckDB: Is it a replacement for a data warehouse?

For single-node analytical workloads up to a few hundred gigabytes it very often is. It is not a replacement when many concurrent users need a shared, governed, always-on service.

Appwrite: What programming languages does Appwrite support?

Appwrite provides SDKs for 15+ languages including JavaScript, Flutter, Swift, Kotlin, Python, Ruby, PHP, .NET, and more, offering more language flexibility than Firebase.

Source
DuckDB: Do I have to load data into it?

No. It queries Parquet, CSV, JSON and Arrow in place, including on object storage. Its own storage format is optional and mainly useful when you want indexes, constraints and faster repeated access.

Appwrite: What backend services does Appwrite provide?

Appwrite includes Auth (with multi-factor auth), Databases, Storage (with compression and encryption), Serverless Functions, Messaging, Realtime subscriptions, and Sites (for hosting static and full-stack apps).

Source
DuckDB: What is MotherDuck's relationship to it?

MotherDuck is a separate company offering a managed and hybrid service built on the DuckDB engine. DuckDB itself remains MIT-licensed and independent of it, with the IP held by the DuckDB Foundation.

Appwrite: Does Appwrite include real-time capabilities?

Yes. Appwrite's Realtime service covers all platform services by default through WebSocket subscriptions, enabling real-time updates across databases, functions, and messages.

Source
DuckDB: Is it suitable for OLTP?

No. It is designed for analytical scans. For transactional workloads with frequent small writes, SQLite or Postgres is the right tool.

Appwrite: How does Appwrite compare to Firebase on costs?

Appwrite offers better cost predictability. Firebase's pay-per-read/write model can lead to unexpected bills with runaway queries, while Appwrite's self-hosted model only requires paying for your own infrastructure with completely predictable costs.

Source
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