Mode Analytics AI
Mode / mode.com
Collaborative data analytics platform combining SQL, Python notebooks, and data visualisations in one tool, with AI-powered data analysis, query generation, and insight discovery for data teams.
Pricing
Free
Free plan
No
Category
Developer Tools
Platforms
1
Free plan
No
API access
No
Open source
No
Platforms
1
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What is Mode Analytics AI?
Mode is a collaborative analytics platform that combines SQL query editors, Python notebooks, and data visualisation tools in a single workspace — enabling data teams to conduct analysis, share findings, and build dashboards without switching between separate tools. Mode was acquired by ThoughtSpot in 2023, with integration of ThoughtSpot's AI search capabilities ongoing.
Mode AI generates SQL queries from natural language descriptions — data analysts describe the analysis they need in plain English and Mode generates the appropriate SQL against the connected data warehouse. For ad-hoc analysis requests that arrive from business stakeholders, AI query generation reduces the time from question to data pull.
The collaborative workspace is Mode's historical strength — reports created in Mode are shareable web-based documents that combine SQL queries, Python analysis, and interactive charts in presentation-ready format. Non-technical stakeholders view Mode reports as interactive dashboards without needing analytics software.
Python notebook integration allows data scientists to use pandas, matplotlib, seaborn, and other Python data science libraries within Mode for more complex analysis beyond SQL, with results displayed in Mode's collaborative report format.
Flashback, Mode's report management feature, tracks which reports are used, by whom, and how frequently — enabling data teams to understand which analyses are driving business decisions and which are unused, prioritising maintenance effort accordingly.
With ThoughtSpot's AI search integration, Mode gains natural language self-service analytics capability for business users beyond the SQL-focused analyst workflow.
How Mode Analytics AI works
Mode Analytics AI runs as document analysis llm software built around text and data workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web.
Watch Mode Analytics AI in action
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What makes it worth shortlisting
The capabilities that matter most for teams evaluating Mode Analytics AI.
AI SQL generation
Generates SQL queries from natural language analysis descriptions, reducing time from business question to data pull for routine ad-hoc analysis requests.
Collaborative reports
Shareable web-based reports combining SQL, Python, and interactive charts that stakeholders view without analytics software — presenting analysis in presentation-ready format.
ThoughtSpot AI Search
Natural language business intelligence search integrated from ThoughtSpot, extending Mode's analyst SQL workflow to self-service analytics for non-technical business users.
Best use cases
Who should use it
Pros
- SQL, Python, and visualisation in one workspace eliminates tool-switching for data analysis workflows
- Collaborative web-based reports present analysis to stakeholders without requiring analytics software
- ThoughtSpot AI search integration adds natural language analytics for business users alongside analyst SQL
- AI SQL generation reduces time-from-question-to-data for routine ad-hoc analysis requests
Cons
- ThoughtSpot acquisition creates product direction uncertainty — evaluate roadmap alignment
- Less notebook-focused than Jupyter/Databricks for complex data science workflows
- Pricing requires direct engagement as the ThoughtSpot integration evolves
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Is it worth the price?
Mode acquired by ThoughtSpot. Standalone pricing custom. Contact for pricing. 14-day free trial.
Model
Subscription
Starting price
Free
Free trial
Yes
Tools like Mode Analytics AI
Hex provides a similar collaborative notebook and analytics environment with strong AI features. Databricks Notebooks provides collaborative notebooks with ML capability. Looker provides BI with stronger AI modelling. Metabase provides accessible BI without Mode's analyst depth.
Mode Analytics AI vs Hex AI
A side-by-side look at the closest alternative in this category.
Mode Analytics AI
Mode
Hex AI
Hex Technologies
Mode acquired by ThoughtSpot. Standalone pricing custom. Contact for pricing. 14-day free trial.
Free plan (3 projects). Starter $24/month. Team $49/month. Enterprise custom.
SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements.
SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements.
Review Mode's data handling policy. Query results and report data processed on Mode's infrastructure.
Data processed under Hex enterprise data handling agreements. Code and query content submitted to AI for generation processed on Hex's infrastructure.
- SQL, Python, and visualisation in one workspace eliminates tool-switching for data analysis workflows
- Collaborative web-based reports present analysis to stakeholders without requiring analytics software
- ThoughtSpot AI search integration adds natural language analytics for business users alongside analyst SQL
- AI SQL generation reduces time-from-question-to-data for routine ad-hoc analysis requests
- Real-time collaboration solves the scattered Jupyter notebook problem for data teams
- Magic AI accelerates SQL and Python query writing for the most common data analysis tasks
- Free plan allows meaningful individual use with 3 projects without time limitation
- Seamless SQL + Python in one notebook eliminates context switching between tools
- ThoughtSpot acquisition creates product direction uncertainty — evaluate roadmap alignment
- Less notebook-focused than Jupyter/Databricks for complex data science workflows
- Pricing requires direct engagement as the ThoughtSpot integration evolves
- Free plan 3-project limit may constrain active individual users
- Hex is strong for exploration and presentation but not a replacement for production data pipeline tools
- Less adoption than Jupyter and Databricks notebooks for ML engineering workflows
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
OpenAI, Mode
Platforms
Web
Deployment
SaaS
Integrations
Snowflake, BigQuery, Redshift, PostgreSQL, MySQL, Databricks, API
Team Collaboration
Yes
Launch Year
2023
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements.
Review Mode's data handling policy. Query results and report data processed on Mode's infrastructure.
What users are saying
Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.
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Common questions about Mode Analytics AI
Editorial Verdict
Should you use Mode Analytics AI?
Mode is the best collaborative analytics platform for data teams who need SQL and Python analysis in one shareable report format, with AI query generation accelerating ad-hoc analysis for analyst teams.
Last verified July 24, 2026.