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Mode

Collaborative analytics for data teams

As of 30 August 2026, Mode is free to use. Mode is a collaborative analytics platform that combines SQL, Python, R, and visual analytics in one place. Softwr lists it under Business Intelligence. Mode is made by ThoughtSpot (Mode), launched in 2013, available on Web.

Overview

What Mode does

Mode is a collaborative analytics platform that combines SQL, Python, R, and visual analytics in one place. It enables data teams to explore data, build reports, and share insights with stakeholders.

What people use it for

  • Self-service analytics
  • Data exploration
  • Ad-hoc reporting
  • Collaborative analysis
  • Embedded analytics

The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about 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

Cross-shopped

What people choose instead of Mode

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

  • Mode logo
    Mode
    vs
    Redash logo
    Redash

    Redash: Open-source SQL notebook and visualization platform for collaborative data analysis and reporting.

  • Mode logo
    Mode
    vs
    DataCamp logo
    DataCamp

    DataCamp: Data analytics and training platform; candidate in Mode's category.

  • Mode logo
    Mode
    vs
    Periscope Data logo
    Periscope Data

    Periscope Data: Business intelligence and SQL analytics platform for data exploration and dashboarding.

  • Mode logo
    Mode
    vs
    Domo logo
    Domo

    Domo: Cloud business intelligence platform for data visualization and collaborative analytics.

Pricing

What Mode costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

Free

Free

  • SQL Editor
  • Python/R Notebooks
  • Basic Charts

Business

$65 /mo

  • Advanced Visualizations
  • Collaboration
  • Integrations

Capabilities

Features

  • SQL Editor

  • Python/R Notebooks

  • Interactive Reports

  • Version Control

  • Scheduling

  • Snowflake

    Integration with Snowflake

  • Redshift

    Integration with Redshift

  • BigQuery

    Integration with BigQuery

  • PostgreSQL

    Integration with PostgreSQL

  • Databricks

    Integration with Databricks

  • Slack

    Integration with Slack

  • Web support

    Available on web

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

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
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
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

Behind it

Who makes Mode

Company
ThoughtSpot (Mode)
Based in
San Francisco, California
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Where to go from Mode

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Softwr does not host reviews and shows no star rating for Mode, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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