8.8
Spot Score
Mode Analytics Review: Is It The Right Business Intelligence Software For Your Team?
Best for SMB teams
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Starts from Free / free, also offers free forever plan
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SpotSaaS Analysis for Mode Analytics
Mode Analytics combines SQL, Python notebooks, and drag-and-drop visualization in one collaborative platform for data teams to build and share analytics.
What is Mode Analytics?
Mode Analytics is a collaborative analytics platform for data and business teams that combines SQL editor, Python/R notebooks, and drag-and-drop data visualization in one tool. Analysts write SQL or Python to query data warehouses (Snowflake, BigQuery, Redshift), build interactive reports and dashboards, and share results with stakeholders — all in a browser-based collaborative environment. Mode is particularly popular for ad-hoc analysis, executive reporting, and data team collaboration, with a strong emphasis on SQL-first workflows and reproducible analysis. Acquired by ThoughtSpot in 2023.
Pricing
Starts from Free / free
Best For
Best suited for small teams and solo users
Platform
Cloud
Desktop only — no mobile app
Mode Analytics Software Demo
Mode Analytics was reviewed internally using user feedback, in-house testing, and market research to assess its performance, reliability, and user experience. Learn how we review products and our evaluation process.
Who should consider Mode Analytics
- Use cases
- Data analysts building ad-hoc analyses combining SQL queries with Python visualizations shared with non-technical stakeholders, Data teams standardizing analysis workflows in a collaborative SQL-first environment with version control, Product analytics teams building dashboards over Snowflake or BigQuery data for executive review
- Team types
- Small Business, Mid-Market
Why teams choose Mode Analytics
SQL-first design with Python/R notebook integration serves analysts who need the flexibility of code alongside the shareability of a BI tool.
Helix charting library produces publication-quality visualizations with minimal configuration — charts look better than most BI tools by default.
Collaborative workspace with version history enables data teams to review, comment on, and iterate on analyses without email chains.
Is Mode Analytics right for you?
What buyers should know before shortlisting Mode Analytics
Mode Analytics has earned a loyal following by serving the gap between raw SQL clients (fast but not shareable) and drag-and-drop BI tools (shareable but limited). The SQL + Python + visualization combination in one tool is genuinely more powerful than the alternatives for analyst-heavy workflows.
The ThoughtSpot acquisition adds AI querying capabilities but introduces some product direction uncertainty. For data teams that are SQL-primary and need shareable, reproducible analysis with good visualization quality, Mode remains one of the strongest choices — particularly for teams already considering ThoughtSpot for self-service BI.
Mode Analytics pros and cons
- Mode Analytics pros
SQL-first design with Python/R notebook integration serves analysts who need the flexibility of code alongside the shareability of a BI tool.
Helix charting library produces publication-quality visualizations with minimal configuration — charts look better than most BI tools by default.
Collaborative workspace with version history enables data teams to review, comment on, and iterate on analyses without email chains.
- Mode Analytics cons
ThoughtSpot acquisition creates some product roadmap uncertainty — teams evaluating for long-term use should monitor how Mode evolves within the ThoughtSpot portfolio.
Less suitable for non-technical business users who prefer drag-and-drop BI without any SQL — Mode is fundamentally built for analysts who write queries.
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What is the pricing of Mode Analytics?
Mode Analytics reviews and ratings
Buyer sentiment
Buyer sentiment is positive across 460 reviews, with strong overall satisfaction.
What buyers like
- SQL-first design with Python/R notebook integration serves analysts who need the flexibility of code alongside the shareability of a BI tool.
- Helix charting library produces publication-quality visualizations with minimal configuration — charts look better than most BI tools by default.
- Collaborative workspace with version history enables data teams to review, comment on, and iterate on analyses without email chains.
Common complaints
- ThoughtSpot acquisition creates some product roadmap uncertainty — teams evaluating for long-term use should monitor how Mode evolves within the ThoughtSpot portfolio.
- Less suitable for non-technical business users who prefer drag-and-drop BI without any SQL — Mode is fundamentally built for analysts who write queries.

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What are the features of Mode Analytics?
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Frequently Asked Questions About Mode Analytics
Common questions buyers ask before choosing Mode Analytics.
Mode Analytics is a Business Intelligence Software. Mode Analytics offers SQL Editor with Auto-Complete, Python & R Notebook Integration, Drag-and-Drop Chart Builder, Interactive Dashboards, Snowflake, BigQuery, Redshift Connectors and many more functionalities.
Buyers commonly note the following limitations of Mode Analytics: ThoughtSpot acquisition creates some product roadmap uncertainty — teams evaluating for long-term use should monitor how Mode evolves within the ThoughtSpot portfolio.; Less suitable for non-technical business users who prefer drag-and-drop BI without any SQL — Mode is fundamentally built for analysts who write queries..
Mode Analytics offers Freemium, Subscription, Contact Sales pricing models
The starting price of Mode Analytics is Freefree
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About the reviewer
Rajat Gupta is the founder of Spotsaas. Over the past two years, he has reviewed 2,000+ tools across CRM, HR, AI, and finance — applying hands-on product research and a background in commerce and the CFA program to evaluate software through a business and ROI lens. His goal: help teams make software decisions they won't regret.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].





