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Databases · head to head

DuckDB vs Ninox

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
Ninox logo

Ninox

Databases

The database for teams

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.; Ninox free plan limited to 5 users and 5,000 records
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and Ninox actually diverge.

Attributes where DuckDB and Ninox differ
AttributeDuckDBNinox
Pricing modelopen-sourcefreemium
PlatformsLinux, macOS, Windows, WebAssemblyWeb
Founded2019Unknown

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

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 Ninox

Nothing recorded that DuckDB does not also cover.

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

Ninox

  • No-code database solutions for small to medium teamsnot DuckDB
  • Workflow automation and process managementnot DuckDB
  • Customer data and project tracking with custom viewsnot 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.

Ninox

  • Free plan limited to 5 users and 5,000 records
  • API call limits restrict automation on lower tiers (1,000/month free, 10,000/month team)
  • Only 7-day history on free plan vs. unlimited on Business

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Ninox

Free
  • FreeFree
    • Up to 5 users
    • 100 MB storage
    • Up to 5,000 records
  • Team$25/month
    • 5 GB storage per user
    • 50,000 records per user
    • 10,000 API calls per user per month
  • Business$40/month
    • 10 GB storage per user
    • 250,000 records per user
    • 50,000 API calls per user per month
  • Enterprise$null/custom
    • Custom pricing available
    • Dedicated support
    • Custom solutions and governance

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 Ninox if

  • You want to start without paying.
Ninox review

Questions people ask

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

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.

Ninox: How much does Ninox cost?

Ninox is free for individuals with up to 5 users. Team plan is 25 EUR per user per month (billed annually), and Business plan is 40 EUR per user per month (billed annually). Enterprise plans have custom pricing.

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.

Ninox: Is Ninox free?

Yes, Ninox offers a free plan for up to 5 users with 100 MB storage and 5,000 records. No payment required to start, and includes all core views: table, form, chart, kanban, maps, and calendar.

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.

Ninox: What is Ninox Team plan pricing?

The Team plan costs 25 EUR per user per month (billed annually). It includes 5 GB storage per user, 50,000 records, 10,000 API calls per month per user, and 30-day history. Annual billing is required.

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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