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Databases · head to head

DuckDB vs n8n

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
n8n logo

n8n

Automation Integration

The fair-code workflow automation tool

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.; n8n starter tier limited to 1 project and 5 concurrent executions
  • They diverge on capability: DuckDB covers In-process execution, n8n covers Workflow automation.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and n8n actually diverge.

Attributes where DuckDB and n8n differ
AttributeDuckDBn8n
Pricing modelopen-sourcesubscription
PlatformsLinux, macOS, Windows, WebAssemblyWeb, Docker, Self-hosted
CategoryDatabasesAutomation Integration

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), founded (2019).

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 n8n

  • Workflow automation
  • Visual editor
  • Conditional execution
  • Looping
  • Error handling
  • Scheduling
  • Webhooks
  • REST API

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 n8n
  • Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot n8n
  • Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot n8n
  • Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot n8n

n8n

  • Building AI agents and workflow automation for technical teamsnot DuckDB
  • Visual workflow design with capability to write custom JavaScript or Python codenot DuckDB
  • Enterprise deployments with self-hosted or cloud optionsnot DuckDB
  • Integrating 500+ pre-built applications with custom API connectionsnot 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.

n8n

  • Starter tier limited to 1 project and 5 concurrent executions
  • Starter and Pro tiers restricted to Cloud hosting only, not self-hosted
  • Business tier requires 6 months minimum commitment at €667/month
  • SSO/SAML/LDAP authentication requires Business or Enterprise tier
  • Dedicated support with SLA available only on Enterprise plan

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

n8n

Free
  • CommunityFree
    • Free self-hosted version on GitHub
    • Open source
  • Starter$20/month
    • 2,500 workflow executions
    • 5 concurrent executions
    • 2,300 AI credits/month
  • Pro$50/month
    • 10,000 workflow executions
    • 20 concurrent executions
    • 13,700 AI credits/month
  • Business$667/month
    • 40,000 workflow executions
    • Self-hosted option
    • 6 shared projects

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 n8n if

  • You need workflow automation.
  • You want to start without paying.
  • You work on Web, Docker, Self-hosted.
  • You also want visual editor.
n8n review

Questions people ask

Is DuckDB or n8n better?
Neither clearly leads. DuckDB starts at Free and n8n at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or n8n?
DuckDB starts at Free and n8n at Free.
Does DuckDB or n8n run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. n8n runs on Web, Docker, Self-hosted.
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 n8n is typically brought in for.
What can DuckDB do that n8n cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. n8n covers Workflow automation, Visual editor, Conditional execution, Looping.

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.

n8n: Is there a free version of n8n?

Yes, n8n Community Edition is free and open-source, available for self-hosting on GitHub with unlimited users and workflows.

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.

n8n: What is the difference between n8n plans?

Plans differ by monthly workflow executions (2,500 for Starter, 10,000 for Pro, 40,000 for Business), concurrent execution limits, AI credits, and shared project counts.

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.

n8n: Does n8n offer annual billing discounts?

Yes, n8n offers 17% off when billing annually instead of monthly, and provides a Startup Plan at 50% off Business pricing for companies under 20 employees.

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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