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Business Intelligence · head to head

Chartio vs DuckDB

Chartio logo

Chartio

Business Intelligence

Cloud-based data exploration (discontinued)

From
On request
Rated
-
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
-

The short version

  • Only DuckDB has a free tier, so it costs nothing to try first.
  • Each has a real cost: Chartio product was discontinued and sunset on March 1, 2022 after company acquisition by Atlassian; 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.
  • They diverge on capability: Chartio covers Visual Query Builder, DuckDB covers In-process execution.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Chartio and DuckDB actually diverge.

Attributes where Chartio and DuckDB differ
AttributeChartioDuckDB
Starting priceOn requestFree
Pricing modelUnknownopen-source
Free tierNoYes
PlatformsWebLinux, macOS, Windows, WebAssembly
CategoryBusiness IntelligenceDatabases
Founded20102019

Identical on both: 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 Chartio

  • Visual Query Builder
  • Interactive Dashboards
  • Data Blending
  • Collaboration
  • Embedding
  • PostgreSQL
  • MySQL
  • Redshift

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

What people use each for

The jobs each tool is most often brought in to do.

Chartio

  • Drag and drop chart building over SQL databasesnot DuckDB
  • Shared business dashboards for non-technical teamsnot DuckDB
  • Exploring warehouse data without writing SQLnot DuckDB

DuckDB

  • Transformation steps in a data pipeline that would otherwise need Spark, replaced by SQL over Parquet in a single processnot Chartio
  • Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot Chartio
  • Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot Chartio
  • Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot Chartio

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Chartio

  • Product was discontinued and sunset on March 1, 2022 after company acquisition by Atlassian
  • No current pricing available as service no longer operates
  • Users were migrated to alternative Atlassian solutions

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.

Pricing, plan by plan

Chartio

On request
  • DiscontinuedFree
    • Service ended March 2022

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Which should you pick?

Choose Chartio if

  • You need visual query builder.
  • You also want interactive dashboards.

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.

Questions people ask

Is Chartio or DuckDB better?
Neither clearly leads. Chartio starts at On request and DuckDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Chartio or DuckDB?
DuckDB has a free tier; the other does not. Paid plans start at On request for Chartio and Free for DuckDB.
Does Chartio or DuckDB run on more platforms?
Chartio runs on Web. DuckDB runs on Linux, macOS, Windows, WebAssembly.
Can I use DuckDB for free?
Yes. DuckDB has a free tier, so you can try it without paying. Chartio starts at On request.
What is Chartio best used for?
Chartio is most often used for drag and drop chart building over sql databases, shared business dashboards for non-technical teams, exploring warehouse data without writing sql. Of those, drag and drop chart building over sql databases and shared business dashboards for non-technical teams are not what DuckDB is typically brought in for.
What can Chartio do that DuckDB cannot?
Chartio covers Visual Query Builder, Interactive Dashboards, Data Blending, Collaboration. DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies.

Answered from the vendors’ own pages

Chartio: Is Chartio still available?

No, Chartio was discontinued on March 1, 2022. The product was acquired by Atlassian and the service was shut down. Users were offered migration to alternative solutions.

Source
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.

Chartio: What should I use instead of Chartio after its discontinuation?

Atlassian, which acquired Chartio, recommends users migrate to other data visualization and business intelligence tools within the Atlassian ecosystem or compatible alternatives.

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.

Chartio: Can I still access Chartio's pricing information?

No, historical pricing is not relevant as Chartio ceased operations in March 2022. Any archived pricing information would not reflect current market options.

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.

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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