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DuckDB vs Mode

DuckDB logo

DuckDB

Software

Fast in-process analytical database

From
Free
Rated
-
Full reviewWebsite
Mode logo

Mode

Software

Collaborative analytics for data teams

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DuckDB client-server setup remains in beta and not recommended for production distributed scenarios; Mode free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
  • They diverge on capability: DuckDB covers In-process Execution, Mode covers SQL Editor.

Where they differ

Only the attributes on which DuckDB and Mode actually diverge.

Attributes where DuckDB and Mode differ
AttributeDuckDBMode
Pricing modelopen-sourcesubscription
PlatformsLinux, macOS, Windows, WebAssemblyWeb
Founded20192013

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

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
  • Columnar Storage
  • Vectorized Execution
  • Rich SQL Support
  • Parquet Support
  • CSV/JSON Import
  • Zero Dependencies
  • Python

Only in Mode

  • SQL Editor
  • Python/R Notebooks
  • Interactive Reports
  • Version Control
  • Scheduling
  • Snowflake
  • Redshift
  • BigQuery

What people use each for

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

DuckDB

  • Analytics and data warehousingnot Mode
  • OLAP queries and data explorationnot Mode
  • Data science and machine learning workflowsnot Mode
  • Multi-format data ingestion and processingnot Mode

Mode

  • 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

  • Client-server setup remains in beta and not recommended for production distributed scenarios

Mode

  • Free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
  • Requires SQL knowledge for most analysis tasks, creating dependency on technical resources
  • Paid plan pricing not publicly listed; requires sales consultation
  • Recently acquired by ThoughtSpot in 2026, creating product direction uncertainty
  • Limited customization options for visual aspects and embedded analytics

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Mode

Free
  • FreeFree
    • SQL Editor
    • Python/R Notebooks
    • Basic Charts
  • Business$65/month
    • Advanced Visualizations
    • Collaboration
    • Integrations

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 columnar storage.
DuckDB review

Choose Mode if

  • You need sql editor.
  • You want to start without paying.
  • You also want python/r notebooks.
Mode review

Questions people ask

Is DuckDB or Mode better?
Neither clearly leads. DuckDB starts at Free and Mode at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Mode?
DuckDB starts at Free and Mode at Free.
Does DuckDB or Mode run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Mode 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 analytics and data warehousing, olap queries and data exploration, data science and machine learning workflows, multi-format data ingestion and processing. Of those, analytics and data warehousing and olap queries and data exploration are not what Mode is typically brought in for.
What can DuckDB do that Mode cannot?
DuckDB covers In-process Execution, Columnar Storage, Vectorized Execution, Rich SQL Support. Mode covers SQL Editor, Python/R Notebooks, Interactive Reports, Version Control.

Answered from the vendors’ own pages

Mode: What languages does Mode support for analysis?

Mode notebooks support SQL, Python (3.11 with pandas, NumPy, scikit-learn, matplotlib), and R (4.2.0 with ggplot2, dplyr, tidyr). Both Python and R allow additional library installation at runtime.

Source
Mode: Can I integrate Mode notebook results into reports?

Yes. Mode allows adding notebook cell results directly to reports, with synchronized scheduling so reports re-run to keep data current.

Source
Mode: Does Mode support collaborative analysis?

Yes. Mode notebooks provide moveable code blocks and markdown cells enabling exploratory analysis and team collaboration on data queries and visualizations.

Source
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Related pages

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