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Databases · head to head

DuckDB vs Strapi

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
Strapi logo

Strapi

APIs

Headless CMS with REST and GraphQL APIs

From
$35/month
Rated
-
Full reviewWebsite

The short version

  • Only DuckDB has a free tier, so it costs nothing to try first.
  • Each has a real cost: 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.; Strapi cloud pricing is per project, not per account, so a second project doubles the bill
  • They diverge on capability: DuckDB covers In-process execution, Strapi covers REST API.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and Strapi actually diverge.

Attributes where DuckDB and Strapi differ
AttributeDuckDBStrapi
Starting priceFree$35/month
Pricing modelopen-sourcesubscription
Free tierYesNo
PlatformsLinux, macOS, Windows, WebAssemblyNode.js, Cloud, Self-hosted, Docker
CategoryDatabasesAPIs
Founded20192015

Identical on both: user rating (Not yet rated).

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 DuckDB

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

Only in Strapi

  • REST API
  • GraphQL API
  • Content management
  • PostgreSQL
  • MySQL
  • MongoDB
  • AWS
  • Webhooks

What people use each for

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

DuckDB

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

Strapi

  • Running a self hosted headless CMS with a REST or GraphQL APInot DuckDB
  • Giving editors a content admin panel over a custom content modelnot DuckDB

Where each one falls short

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

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.

Strapi

  • Cloud pricing is per project, not per account, so a second project doubles the bill
  • Starter at $35 a month allows 100,000 API requests, and overage is $1.50 per 25,000
  • Extra bandwidth is $30 per 100 GB and extra asset storage $0.60 per GB
  • Backups start at the Pro plan, weekly, and only become daily at Business
  • An uptime SLA is Business only, at $450 a month per project
  • Additional environments cost $60 a month on Pro and $300 a month on Business

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Strapi

$35/month
  • Starter$35/month
    • 100k API requests
    • 50 GB asset storage
    • 50 GB asset bandwidth
  • Pro$90/month
    • 1M API requests
    • 250 GB asset storage
    • 500 GB asset bandwidth
  • Business$450/month
    • 10M API requests
    • 1000 GB asset storage
    • 1000 GB asset bandwidth

Which should you pick?

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

Choose Strapi if

  • You need rest api.
  • You work on Node.js, Cloud, Self-hosted, Docker.
  • You also want graphql api.
Strapi review

Questions people ask

Is DuckDB or Strapi better?
Neither clearly leads. DuckDB starts at Free and Strapi at $35/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Strapi?
DuckDB has a free tier; the other does not. Paid plans start at Free for DuckDB and $35/month for Strapi.
Does DuckDB or Strapi run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Strapi runs on Node.js, Cloud, Self-hosted, Docker.
Can I use DuckDB for free?
Yes. DuckDB has a free tier, so you can try it without paying. Strapi starts at $35/month.
What is DuckDB best used for?
DuckDB is most often used for transformation steps in a data pipeline that would otherwise need spark, replaced by sql over parquet in a single process, analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptable, local exploration of files that are too large for a pandas dataframe but far too small to justify a warehouse, continuous integration and testing of analytical sql, where a real engine can run in the test process without provisioning anything. Of those, transformation steps in a data pipeline that would otherwise need spark, replaced by sql over parquet in a single process and analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptable are not what Strapi is typically brought in for.
What can DuckDB do that Strapi cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Strapi covers REST API, GraphQL API, Content management, PostgreSQL.

Answered from the vendors’ own pages

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.

Strapi: How much do API request overages cost?

Additional API requests beyond the plan limit cost $1.50 per 25000 requests. Extra asset storage costs $0.60 per GB, and additional bandwidth costs $30 per 100 GB.

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.

Strapi: Is yearly billing available?

Yes, yearly billing saves up to 17% compared to monthly billing on Strapi Cloud plans.

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.

Strapi: What is included with the Pro plan?

The Pro plan costs $90 per month per project and includes 1M API requests, 250 GB asset storage, 500 GB bandwidth, multi-environment support, weekly backups, and manual backups.

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.

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.

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