Pricing
freemium
Best For
Data teams that work primarily in SQL and Python and want dashboards from the same tool
Rating
7.7/10
Last Updated
Mar 2026
TL;DR
Mode is built for data analysts who live in SQL and Python. It combines a SQL editor, Python/R notebooks, and a visual dashboard builder in one workspace. Think of it as Jupyter notebooks meets BI tool. ThoughtSpot acquired Mode in 2023. It's great for analyst-heavy teams where SQL is the primary language, but business users find the interface intimidating. Free for individuals, with team plans starting at $35/user/month.
What is Mode Analytics?
Where Code Meets Dashboards
Mode launched in 2013 targeting a gap in the market: data analysts wanted a tool that let them write SQL and Python but also build shareable dashboards. Most BI tools forced a choice — code or drag-and-drop. Mode said "both." ThoughtSpot acquired Mode in 2023 to add code-based analytics to its search-driven platform.
The Analyst Workflow
Mode's workflow is unique. Start by writing a SQL query against your data warehouse. The results populate a dataset. Run a Python or R notebook against that dataset for statistical analysis or machine learning. Then drag the output into a visual report builder with charts and filters. The whole chain lives in one workspace, version-controlled and shareable. For analysts, this flow is addictive — no more copying data between tools.
Report Builder vs Code
The visual report builder is solid but not spectacular. It covers bar charts, line charts, scatter plots, tables, and pivot tables. For quick dashboards, it does the job. But if you need Tableau-level formatting control or complex interactive filters, Mode falls short. The real value is the code layer underneath — being able to run a logistic regression in Python and visualize the output in the same document.
Where Mode Struggles
Business users don't love Mode. The interface assumes you're comfortable with SQL, or at least aren't afraid of it. The Explorer mode (simplified interface for non-coders) exists but feels like an afterthought. This limits Mode's reach — it's a tool for the data team, not the whole organization. That's fine if your analysts produce dashboards for others to consume. It's a problem if you want self-service analytics for everyone.
Pros and Cons
Pros
- Combines SQL, Python, R, and visual dashboards in one workspace — analysts stay in one tool
- Version control built in — every analysis is tracked and reproducible
- Free tier for individual analysts is fully functional, not a crippled trial
- Notebook-to-dashboard flow lets you go from statistical analysis to executive report seamlessly
- ThoughtSpot acquisition adds AI search to complement code-based analytics
Cons
- Interface intimidates business users — it looks and feels like a developer tool
- Visual report builder is basic compared to Tableau, Power BI, or even Metabase
- Explorer mode for non-coders feels underdeveloped and has limited functionality
- Smaller ecosystem than Tableau or Power BI — fewer templates, community resources, and integrations
- ThoughtSpot acquisition creates uncertainty about Mode as a standalone product long-term
Mode Analytics Pricing
Free
- SQL editor
- Python/R notebooks
- Visual report builder
- Connect 1 data source
- Public sharing
- Community support
Business
- Everything in Free
- Unlimited data sources
- Scheduled reports
- Slack & email delivery
- Explorer mode for non-coders
- Team collaboration
Enterprise
- Everything in Business
- SSO/SAML
- Advanced permissions
- Audit logs
- Custom branding
- Priority support
- Dedicated success manager
Pricing last verified: March 25, 2026
Who is Mode Analytics Best For?
- Data teams that work primarily in SQL and Python and want dashboards from the same tool
- Analyst-heavy organizations that value code reproducibility and version control
- Teams doing statistical analysis or ML that also need to share visual reports
- Individual analysts looking for a free, full-featured analytics workspace
Technical Details
The Bottom Line
Mode Analytics scores 7.7/10. It stands out for combines sql, python, r, and visual dashboards in one workspace — analysts stay in one tool. Best suited for data teams that work primarily in sql and python and want dashboards from the same tool. Keep in mind that interface intimidates business users — it looks and feels like a developer tool. There is a free plan to get started.
Frequently Asked Questions
Based on editorial analysis