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Databases · head to head

DuckDB vs Fivetran

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
Fivetran logo

Fivetran

Automation Integration

The most trusted data movement platform

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.; Fivetran billed on monthly active rows, so the bill tracks how much source data changes rather than how much is stored or queried
  • They diverge on capability: DuckDB covers In-process execution, Fivetran covers Automated data pipeline.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and Fivetran actually diverge.

Attributes where DuckDB and Fivetran differ
AttributeDuckDBFivetran
Pricing modelopen-sourceusage-based
PlatformsLinux, macOS, Windows, WebAssemblyWeb, Cloud
CategoryDatabasesAutomation Integration
Founded20192012

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 Fivetran

  • Automated data pipeline
  • Change Data Capture
  • Data transformation
  • Real-time sync
  • Monitoring
  • Data quality
  • Scheduling
  • Notifications

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

Fivetran

  • Managed data pipelines from SaaS sources into a warehousenot DuckDB
  • Keeping a warehouse in sync with production databases without writing connectorsnot 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.

Fivetran

  • Billed on monthly active rows, so the bill tracks how much source data changes rather than how much is stored or queried
  • Each connection follows its own cost curve, so total spend is hard to predict before running a pipeline
  • The free plan allows 500,000 monthly active rows, 3,500 activation rows and 5,000 model runs
  • Transformations are metered separately, from $0.01 per model run above 5,000 down to $0.002 above 100,000
  • A schema change upstream that touches many rows raises the bill without any change on the customer's side

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Fivetran

Free
  • FreeFree
    • Limited connectors
    • Basic support
  • Standard$300/month
    • 500+ connectors
    • Priority support
  • Enterprise$1000/month
    • Custom connectors
    • Dedicated support

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 Fivetran if

  • You need automated data pipeline.
  • You want to start without paying.
  • You work on Web, Cloud.
  • You also want change data capture.
Fivetran review

Questions people ask

Is DuckDB or Fivetran better?
Neither clearly leads. DuckDB starts at Free and Fivetran at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Fivetran?
DuckDB starts at Free and Fivetran at Free.
Does DuckDB or Fivetran run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Fivetran runs on Web, 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 Fivetran is typically brought in for.
What can DuckDB do that Fivetran cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Fivetran covers Automated data pipeline, Change Data Capture, Data transformation, Real-time sync.

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.

Fivetran: What does Fivetran's free plan include?

The free plan includes 500,000 monthly active rows for connections, 3,500 monthly active rows for activations, and 5,000 monthly model runs for transformations.

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.

Fivetran: What is the trial period for Fivetran?

Fivetran offers a 14-day risk-free trial for new accounts. Each new connection also includes 14 days of free use, with trial extensions available by contacting support.

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.

Fivetran: How much do I save by paying annually instead of monthly?

Annual contracts save up to 22.6% compared to monthly pricing, with tiered discounts starting at 5% and increasing based on annual list price.

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.

Fivetran: Can I cancel or modify my Fivetran subscription anytime?

Plans can be upgraded at any time. Connections can be added or removed at any time, and you can block tables or schemas to reduce usage. Downgrade or cancellation policies are not specified on the pricing page.

Source
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.

Fivetran: What is the pricing for Fivetran transformations?

Transformations cost $0.01 per run for 5,001 to 30,000 monthly runs, with per-run costs declining as volume increases.

Source
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