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Databases · head to head

DuckDB vs Tyk

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
-
Tyk logo

Tyk

APIs

Open-source API gateway and API management platform

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.; Tyk professional and Enterprise plan pricing not published; contact required
  • They diverge on capability: DuckDB covers In-process execution, Tyk covers API Gateway.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and Tyk actually diverge.

Attributes where DuckDB and Tyk differ
AttributeDuckDBTyk
Pricing modelopen-sourcefreemium
PlatformsLinux, macOS, Windows, WebAssemblyLinux, Docker, Kubernetes, Cloud
CategoryDatabasesAPIs
Founded20192013

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 Tyk

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

Tyk

  • API gateway and API management platformsnot DuckDB
  • Microservices architecture orchestrationnot DuckDB
  • High-growth teams standardizing on API platformsnot DuckDB
  • Enterprises requiring advanced security and governancenot 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.

Tyk

  • Professional and Enterprise plan pricing not published; contact required
  • Core plan uses consumption-based model with variable costs
  • No upfront pricing transparency for production deployments

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Tyk

Free
  • Free TrialFree
    • Fully featured 48-hour trial
    • No credit card required
    • Tyk Cloud access
  • Core Plan$null/month
    • Usage-based flexible pricing
    • Cloud, Hybrid, or Self-managed deployment
    • Unlimited API gateways
  • Professional Plan$null/month
    • One fixed price with unlimited access
    • All deployment options
    • Unlimited APIs and requests
  • Enterprise Plan$null/month
    • Custom pricing required
    • Advanced governance and security
    • Premium support with custom SLAs

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 Tyk if

  • You need api gateway.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Cloud.
  • You also want rate limiting.

Questions people ask

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

Tyk: How much does Tyk cost?

Tyk offers a free 48-hour trial with no credit card required. The Core plan uses usage-based pricing on a flexible model. Professional plan offers unlimited access at a fixed price (amount not published). Enterprise plans require custom pricing.

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.

Tyk: Is there a free trial of Tyk?

Yes, Tyk provides a fully featured 48-hour free trial of Tyk Cloud that requires no credit card to start.

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.

Tyk: What deployment options are included in Tyk pricing?

All Tyk plans support Cloud, Hybrid, or Self-managed deployment options without feature restrictions, allowing flexible infrastructure choices across pricing tiers.

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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