Softwr

Databases · head to head

DuckDB vs Traefik

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
-
Traefik logo

Traefik

Networking

Modern cloud-native edge router and API gateway

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.; Traefik no transparent pricing displayed for Traefik Hub API Gateway or API Management products
  • They diverge on capability: DuckDB covers In-process execution, Traefik covers API Gateway.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and Traefik actually diverge.

Attributes where DuckDB and Traefik differ
AttributeDuckDBTraefik
Pricing modelopen-sourcefreemium
PlatformsLinux, macOS, Windows, WebAssemblyKubernetes, Docker, Cloud
CategoryDatabasesNetworking
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 Traefik

  • API Gateway
  • Load Balancing
  • SSL/TLS Termination
  • Kubernetes
  • Docker
  • Consul
  • etcd
  • 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 Traefik
  • Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot Traefik
  • Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot Traefik
  • Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot Traefik

Traefik

  • API gateway for microservices architecturenot DuckDB
  • Kubernetes ingress controllernot DuckDB
  • Container and VM traffic routingnot DuckDB
  • Cloud-native application managementnot 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.

Traefik

  • No transparent pricing displayed for Traefik Hub API Gateway or API Management products
  • No subscription period specified for paid tiers
  • Traefik Hub products require contacting sales for pricing

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Traefik

Free

No published plan breakdown. See the Traefik review.

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 Traefik if

  • You need api gateway.
  • You want to start without paying.
  • You work on Kubernetes, Docker, Cloud.
  • You also want load balancing.

Questions people ask

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

Traefik: Is Traefik Proxy free to use?

Yes, Traefik Proxy is completely free and open source. You can download and use it at no cost.

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.

Traefik: What pricing model does Traefik use for its paid products?

Traefik Hub products (API Gateway and API Management) use quote-based pricing. Specific rates are not published on the pricing page; you must contact sales to request pricing.

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.

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.

Share

Related pages

Other head to heads