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Databases · head to head

DuckDB vs Gravitee

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
-
Gravitee logo

Gravitee

APIs

Open source API management platform for event-native APIs

From
Free
Rated
-

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.; Gravitee the entry paid API management tier is $2,500 a month and includes a single production gateway
  • They diverge on capability: DuckDB covers In-process execution, Gravitee covers API Gateway.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and Gravitee actually diverge.

Attributes where DuckDB and Gravitee differ
AttributeDuckDBGravitee
Pricing modelopen-sourcefreemium
PlatformsLinux, macOS, Windows, WebAssemblyCloud, On-premise, Kubernetes
CategoryDatabasesAPIs
Founded20192015

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 Gravitee

  • API Gateway
  • Developer Portal
  • Analytics Dashboard
  • Kubernetes
  • Docker
  • Kafka
  • LDAP
  • Cloud 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 Gravitee
  • Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot Gravitee
  • Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot Gravitee
  • Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot Gravitee

Gravitee

  • API gateway and lifecycle managementnot DuckDB
  • Exposing Kafka event streams as managed APIsnot DuckDB
  • Protocol mediation between event brokers and clientsnot DuckDB
  • Self-hosting an open source API gatewaynot DuckDB
  • Access control and authentication in front of internal APIsnot 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.

Gravitee

  • The entry paid API management tier is $2,500 a month and includes a single production gateway
  • Event management is priced separately, starting at $1,250 a month for the Comet tier
  • Tiers are gated on gateway and broker counts, so scaling horizontally means moving tier rather than paying incrementally
  • Data logging masking and other enterprise features are withheld from the lowest paid tier
  • 24/7 support requires the top Universe tier

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Gravitee

Free
  • CommunityFree
    • API Gateway
    • Basic analytics
    • Community support
  • Enterprise$1500/monthly
    • Advanced features
    • SLA support
    • SSO integration
  • Custom$undefined/monthly
    • Custom deployment
    • Dedicated support
    • Premium 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.

Choose Gravitee if

  • You need api gateway.
  • You want to start without paying.
  • You work on Cloud, On-premise, Kubernetes.
  • You also want developer portal.

Questions people ask

Is DuckDB or Gravitee better?
Neither clearly leads. DuckDB starts at Free and Gravitee at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Gravitee?
DuckDB starts at Free and Gravitee at Free.
Does DuckDB or Gravitee run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Gravitee runs on Cloud, On-premise, Kubernetes.
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 Gravitee is typically brought in for.
What can DuckDB do that Gravitee cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Gravitee covers API Gateway, Developer Portal, Analytics Dashboard, Kubernetes.

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.

Gravitee: What is Gravitee's pricing model?

Gravitee uses a tiered subscription model with monthly flat pricing. The Planet tier for API Management starts at $2,500/month with one production gateway, while the Comet tier for Event Management starts at $1,250/month.

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.

Gravitee: Are there hidden fees with Gravitee?

No. Gravitee explicitly states there are no hidden fees, and all tiers include unlimited users and unlimited APIs under management.

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.

Gravitee: What does higher tier pricing include in Gravitee?

Higher tiers add more production gateways, enterprise plugins, and enhanced support levels ranging from Gold to Platinum/Diamond support.

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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