Is DuckDB or Preset better?

Neither clearly leads. DuckDB starts at Free and Preset at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.

Which is cheaper, DuckDB or Preset?

DuckDB starts at Free and Preset at Free.

Does DuckDB or Preset run on more platforms?

DuckDB runs on Linux, macOS, Windows, WebAssembly. Preset 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 Preset is typically brought in for.

What can DuckDB do that Preset cannot?

DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Preset covers Managed Superset, Auto-scaling, Enterprise Security, Custom Branding.

Databases · head to head

DuckDB vs Preset

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 review Website

Preset

Business Intelligence

Managed Apache Superset

From: Free
Rated: -

Full review Website

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.; Preset limited SQL IDE advanced features compared to specialized query tools
They diverge on capability: DuckDB covers In-process execution, Preset covers Managed Superset.
Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and Preset actually diverge.

Attributes where DuckDB and Preset differ
Attribute	DuckDB	Preset
Pricing model	open-source	Unknown
Platforms	Linux, macOS, Windows, WebAssembly	Web, Cloud
Category	Databases	Business Intelligence

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 Preset

Managed Superset
Auto-scaling
Enterprise Security
Custom Branding
API Access
Snowflake
BigQuery
Redshift

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

Preset

Self-service analyticsnot DuckDB
Data explorationnot DuckDB
Ad-hoc reportingnot DuckDB
Collaborative analysisnot DuckDB
Embedded analyticsnot 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.

Preset

Limited SQL IDE advanced features compared to specialized query tools
Viewer licenses add substantial cost for embedded analytics deployments
Dataset-centric approach requires preprocessing by data teams for some use cases

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Preset

Free

No published plan breakdown. See the Preset 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.

DuckDB review

Choose Preset if

You need managed superset.
You want to start without paying.
You work on Web, Cloud.
You also want auto-scaling.

Preset review

Questions people ask

Is DuckDB or Preset better?: Neither clearly leads. DuckDB starts at Free and Preset at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Preset?: DuckDB starts at Free and Preset at Free.
Does DuckDB or Preset run on more platforms?: DuckDB runs on Linux, macOS, Windows, WebAssembly. Preset 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 Preset is typically brought in for.
What can DuckDB do that Preset cannot?: DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Preset covers Managed Superset, Auto-scaling, Enterprise Security, Custom Branding.

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.

Preset: Is Preset free?

Preset offers a free tier for small teams called Starter with 5 users and no credit card required. Paid plans start at $25 per user per month.

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.

Preset: Can I export my data from Preset?

Yes. Preset uses Apache Superset and the founders contribute over 75% of commits to the open-source project, enabling migration to Superset without vendor lock-in.

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.

Preset: Does Preset include embedded analytics?

Yes. Embedded dashboards are available on Professional and Enterprise plans, with viewer licenses starting at $500 per month for 50 licenses.

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.

Preset: What is the enterprise pricing for Preset?

Enterprise plans are custom quoted. The median buyer pays $35,495 per year.

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.

Preset: Does Preset support AI-powered analytics?

Yes. As of 2026, Preset includes an AI Chatbot and MCP (Model Context Protocol) integration for building charts and dashboards via natural language.

Source

DuckDB vs Preset

DuckDB

Preset

The short version

Where they differ

What each one covers

Only in DuckDB

Only in Preset

What people use each for

DuckDB

Preset

Where each one falls short

DuckDB

Preset

Pricing, plan by plan

DuckDB

Preset

Which should you pick?

Choose DuckDB if

Choose Preset if

Questions people ask

Answered from the vendors’ own pages

Related pages

More on DuckDB

More on Preset

Keep looking

Other head to heads