Databases · head to head
DuckDB vs Traefik

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
- -
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.
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
FreeNo published plan breakdown. See the DuckDB review.
Traefik
FreeNo 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.
SourceDuckDB: 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.
SourceDuckDB: 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.
Related pages
Other head to heads
- DuckDB vs SingleStore
- DuckDB vs SQLite
- DuckDB vs PostgreSQL
- DuckDB vs Cockroach Labs
- DuckDB vs Airtable
- DuckDB vs Amazon Aurora
- DuckDB vs ClickHouse
- DuckDB vs Apache Druid
- DuckDB vs Firebolt
- DuckDB vs OpenSearch
- DuckDB vs StarRocks
- DuckDB vs DataGrip
- DuckDB vs Estuary
- DuckDB vs Apache Pinot
- DuckDB vs Apache Pulsar
- DuckDB vs Cassandra
- DuckDB vs CouchDB
- DuckDB vs Prometheus
- DuckDB vs Consul
- DuckDB vs ngrok
- DuckDB vs Grafana
- DuckDB vs Cloudflare
- DuckDB vs Eclipse Mosquitto
- DuckDB vs pfSense
- DuckDB vs Icinga
- DuckDB vs Zabbix
- DuckDB vs Netdata
- DuckDB vs LibreNMS
- DuckDB vs OpenVPN
- DuckDB vs MikroTik RouterOS
- DuckDB vs Ubiquiti UniFi
- DuckDB vs Domotz
- DuckDB vs Headscale
- Traefik vs SingleStore
- Traefik vs SQLite
- Traefik vs PostgreSQL
- Traefik vs Cockroach Labs
- Traefik vs Airtable
- Traefik vs Amazon Aurora
- Traefik vs ClickHouse
- Traefik vs Apache Druid
- Traefik vs Firebolt
- Traefik vs OpenSearch
- Traefik vs StarRocks
- Traefik vs DataGrip
- Traefik vs Estuary
- Traefik vs Apache Pinot
- Traefik vs Apache Pulsar
- Traefik vs Cassandra
- Traefik vs CouchDB
- Traefik vs Prometheus
- Traefik vs Consul
- Traefik vs ngrok
- Traefik vs Grafana
- Traefik vs Cloudflare
- Traefik vs Eclipse Mosquitto
- Traefik vs pfSense
- Traefik vs Icinga
- Traefik vs Zabbix
- Traefik vs Netdata
- Traefik vs LibreNMS
- Traefik vs OpenVPN
- Traefik vs MikroTik RouterOS
- Traefik vs Ubiquiti UniFi
- Traefik vs Domotz
- Traefik vs Headscale

