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Databases · head to head

DuckDB vs GraphQL Apollo

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
GraphQL Apollo logo

GraphQL Apollo

APIs

Complete platform for building GraphQL APIs

From
Free
Rated
-
Full reviewWebsite

The short version

  • 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.; GraphQL Apollo standard and Enterprise plans require sales contact for custom pricing
  • They diverge on capability: DuckDB covers In-process execution, GraphQL Apollo covers Apollo Server.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and GraphQL Apollo actually diverge.

Attributes where DuckDB and GraphQL Apollo differ
AttributeDuckDBGraphQL Apollo
Pricing modelopen-sourcefreemium
PlatformsLinux, macOS, Windows, WebAssemblyJavaScript, Node.js, Web, Mobile
CategoryDatabasesAPIs
Founded20192016

Identical on both: starting price (Free), free tier (Yes), 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 GraphQL Apollo

  • Apollo Server
  • Apollo Client
  • GraphQL Federation
  • REST APIs
  • Microservices
  • Databases
  • JavaScript support
  • Node.js support

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 GraphQL Apollo
  • Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot GraphQL Apollo
  • Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot GraphQL Apollo
  • Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot GraphQL Apollo

GraphQL Apollo

  • GraphQL API managementnot DuckDB
  • Schema federationnot DuckDB
  • API analytics and monitoringnot DuckDB
  • Developer-focused infrastructurenot 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.

GraphQL Apollo

  • Standard and Enterprise plans require sales contact for custom pricing
  • Free plan limited to 3 developers and 1-day retention
  • Self-hosted router on free tier heavily rate-limited to 60 requests/minute

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

GraphQL Apollo

Free
  • FreeFree
    • 3 developers
    • 1-day data retention
    • Community support only
  • Developer$5/per million requests
    • $50 usage credit for new signups
    • Up to 10 developers
    • 7-day data retention
  • Standard$null/custom
    • Up to 30 developers
    • 90-day data retention
    • Standard support with SLA (8x5)
  • Enterprise$null/custom
    • Unlimited developers
    • 18-month data retention
    • Business support 24x7x365 with SLA

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 GraphQL Apollo if

  • You need apollo server.
  • You want to start without paying.
  • You work on JavaScript, Node.js, Web, Mobile.
  • You also want apollo client.
GraphQL Apollo review

Questions people ask

Is DuckDB or GraphQL Apollo better?
Neither clearly leads. DuckDB starts at Free and GraphQL Apollo at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or GraphQL Apollo?
DuckDB starts at Free and GraphQL Apollo at Free.
Does DuckDB or GraphQL Apollo run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. GraphQL Apollo runs on JavaScript, Node.js, Web, Mobile.
Can I use DuckDB for free?
Both have a free tier, so you can try either at no cost before committing.
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 GraphQL Apollo is typically brought in for.
What can DuckDB do that GraphQL Apollo cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. GraphQL Apollo covers Apollo Server, Apollo Client, GraphQL Federation, REST APIs.

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.

GraphQL Apollo: How much does Apollo GraphQL cost?

Apollo GraphQL is free for up to 3 developers. Paid plans start at $5 per million GraphQL requests on the Developer plan, which includes $50 usage credit for new signups. Standard and Enterprise plans require custom pricing via sales contact.

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.

GraphQL Apollo: Is there a free version of Apollo GraphQL?

Yes, Apollo GraphQL offers a forever-free plan with no credit card required for up to 3 developers, including 1-day data retention, community support, and self-hosted GraphOS Router rate-limited to 60 requests per minute.

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.

GraphQL Apollo: What does Apollo's Enterprise plan include that Standard does not?

The Enterprise plan offers unlimited developers versus 30 on Standard, 18-month data retention versus 90 days, and 24x7x365 business support with SLA instead of 8x5 support. It also includes premium and professional services add-ons and custom MSA agreements. Both require custom pricing.

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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