Softwr

Databases · head to head

DuckDB vs Radix UI

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
-
Radix UI logo

Radix UI

Web Development

Unstyled, accessible React component primitives

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.; Radix UI you write all the styling, so time to a finished interface is much longer than with a styled library
  • They diverge on capability: DuckDB covers In-process execution, Radix UI covers Unstyled primitives.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and Radix UI actually diverge.

Attributes where DuckDB and Radix UI differ
AttributeDuckDBRadix UI
Pricing modelopen-sourceOpen source, no licence fee
PlatformsLinux, macOS, Windows, WebAssemblyWeb
CategoryDatabasesWeb Development
Founded2019Unknown

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 Radix UI

  • Unstyled primitives
  • Accessibility built in
  • Composable API
  • Controlled or uncontrolled

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

Radix UI

  • Design systems that need correct accessibility without inherited visual opinionsnot DuckDB
  • Replacing hand-built dropdowns and dialogs that have accessibility bugsnot DuckDB
  • Teams with a designer whose output should not be constrained by a library’s themenot 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.

Radix UI

  • You write all the styling, so time to a finished interface is much longer than with a styled library
  • Composable part-based APIs are more verbose than a single component with props
  • Covers primitives rather than complex widgets, so data grids and date pickers come from elsewhere

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Radix UI

Free
  • Radix UIFree
    • Full functionality
    • Commercial use permitted
    • Community 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.

Choose Radix UI if

  • You need unstyled primitives.
  • You want to start without paying.
  • You also want accessibility built in.

Questions people ask

Is DuckDB or Radix UI better?
Neither clearly leads. DuckDB starts at Free and Radix UI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Radix UI?
DuckDB starts at Free and Radix UI at Free.
Does DuckDB or Radix UI run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Radix UI runs on Web.
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 Radix UI is typically brought in for.
What can DuckDB do that Radix UI cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Radix UI covers Unstyled primitives, Accessibility built in, Composable API, Controlled or uncontrolled.

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.

Radix UI: Is Radix UI free?

Yes, open source under the MIT licence.

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.

Radix UI: Why use unstyled components?

Because accessibility is the hard part and visual design is the part teams want to own. Radix gives the first and stays out of the second.

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.

Radix UI: What is the relationship with shadcn/ui?

shadcn/ui is built on Radix primitives, adding Tailwind styling and copy-paste distribution on top.

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