Mode
Mode: A code-first BI platform uniting SQL, Python, and R analysis with governed self-service dashboards.
Mode is a serious pick for code-first data teams that need governance atop SQL and Python workflows. Its free tier is unusually generous, but paid plans require custom quotes, so weigh that against transparent alternatives like Looker. If your analysts live in code, Mode outclasses no-code BI tools hands down. Named alternatives: Looker (transparent pricing), Tableau (no-code).
Verified 8d ago · liveness 87/100 · cite: rightaichoice.com/tools/mode
- Data teams that write SQL or Python and need a unified platform for ad hoc analysis and dashboards
- Organizations using Snowflake, BigQuery, or Redshift looking for a BI layer on top of their warehouse
- Teams that want to combine code-driven analytics with governed self-service for business users
- Companies building custom internal tools with embedded analytics and data apps
- Teams needing a free or low-cost BI tool for basic reporting with no code
- Organizations where business users want a purely no-code drag-and-drop interface
- Small startups with simple data needs and no SQL expertise
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Skip Mode if you need a no-code, drag-and-drop BI tool or if your team lacks SQL/Python expertise and you require transparent, fixed pricing.
Professional and Enterprise plans require custom quotes, so you won't know exact costs until you contact sales.
Mode's free tier is generous for small teams (5 users, public reports). Paid plans are custom-quoted, which fits mid-market and enterprise budgets but makes it harder to compare with transparent competitors like Looker or Tableau, which offer published per-user pricing.
In short
Mode — Mode: A code-first BI platform uniting SQL, Python, and R analysis with governed self-service dashboards. Best for Data teams that write SQL or Python and need a unified platform for ad hoc analysis and dashboards, Organizations using Snowflake, BigQuery, or Redshift looking for a BI layer on top of their warehouse, Teams that want to combine code-driven analytics with governed self-service for business users. Free to use.
Viability Score
How well maintained and how widely used is Mode? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- SQL editor with autocomplete
- Integrated Python notebooks
- Integrated R notebooks
- Visual Explorer drag-and-drop charts
- Interactive dashboards with drill-down filters
- Reusable, governed datasets (Datasets)
- Natural language to SQL with AI Assist
- Embedded analytics for custom data apps
- Report scheduling and email distribution
- Role-based access control
- Data permissions
- Google Sheets integration
- Connections to Snowflake, BigQuery, Redshift, Databricks, Amazon Athena
- Version control for queries and dashboards
- Collaborative annotations and commenting
About Mode
Mode is a business intelligence platform built for data teams that work in code. It lets you run ad hoc SQL queries, develop in Python and R notebooks, and package those insights into interactive dashboards and governed self-service reports. If your organization relies on Snowflake, BigQuery, or Redshift, Mode connects directly to those warehouses and becomes the central hub where analysts and business users meet around the same data. What sets Mode apart from traditional BI tools is its developer-first DNA. The SQL editor includes autocomplete and lets you rapidly iterate through queries, while integrated notebooks support Python and R for more advanced modeling and analysis. You can then turn any query or notebook into a Visual Explorer chart or dashboard, with drill-down filters that business users can explore on their own. For governance, Mode's reusable Datasets and metrics layer ensure that self-service reporting is backed by trusted definitions rather than ad hoc guesses. Mode also covers the full spectrum of BI needs. AI Assist speaks natural language to SQL, embedded analytics lets you build custom data apps for internal tools, and report scheduling distributes insights via email. The platform handles security with role-based access control and data permissions, and it integrates with your modern data stack including Databricks, Amazon Athena, and dbt. A recently added Google Sheets integration brings spreadsheet data into the platform for governed analysis. Mode positions itself as the intelligence layer for the modern data stack, distinct from pure-play BI like Tableau or Looker because it favors code-friendly workflows. It was acquired by ThoughtSpot, and its free tier supports up to five users with public reports, making it a natural starting point for teams that value flexibility and depth over simplicity.
Behind the Verdict
Mode's core strength is its deep integration of SQL, Python, and R within a single platform. Analysts can move fluidly from ad hoc queries to complex models to polished dashboards without switching tools. The SQL editor's autocomplete and rapid iteration support ad hoc analysis, while the integrated notebooks enable advanced analytics in Python and R. Visual Explorer provides drag-and-drop charting that can be embedded into interactive dashboards with drill-down filters for business users. For governance, reusable Datasets and a metrics layer ensure self-service reporting relies on trusted definitions. AI Assist translates natural language to SQL, speeding up query writing. Custom data apps via embedded analytics let you build internal tools. Security features include role-based access control and data permissions. The integration list covers major warehouses and tools: Snowflake, BigQuery, Redshift, Databricks, Amazon Athena, dbt, Google Sheets, Slack, and email. However, the platform is code-first, so non-technical users may need training. AI Assist is not as advanced as dedicated AI tools. Free tier limits sharing and collaboration. Pricing for Professional and Enterprise is custom, making cost comparison difficult. ThoughtSpot's acquisition may bring future changes. It is best for teams with SQL/Python expertise and governance needs; not for small teams seeking a no-code visualization tool.
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Real-world workflow fit
Concrete scenarios for the personas Mode actually fits — and what changes day-one when you adopt it.
You need to answer an ad hoc business question from the C-suite quickly.
Outcome: You connect to Snowflake, write a SQL query in Mode's editor with autocomplete, visualize it in Visual Explorer, and share a standalone report link—all within minutes.
You want to give business users a governed way to explore data without writing SQL.
Outcome: You define reusable governed Datasets and metrics, then build interactive dashboards with drill-down filters that business users can explore on their own, ensuring trust in the numbers.
You need to combine advanced Python modeling with a delivery channel for stakeholders.
Outcome: You use Mode's integrated Python notebooks to build models, then turn them into charts and dashboards with embedded analytics, delivering insights without leaving the platform.
Use Cases
- Ad hoc SQL analysis for data teams
- Building governed self-serve dashboards for business stakeholders
- Creating custom internal analytics tools with data apps
- Sharing interactive reports with embedded dashboards
- Combining Python and SQL workflows for advanced modeling
- Integrating Google Sheets data into governed analytics
Models Under the Hood
as of 2026-08-15
Limitations
- Mode is a code-first BI platform that heavily relies on SQL, Python, and R for analysis, which may require training for non-technical users.
- The platform offers governed datasets and self-service reporting, but advanced analytics typically demands programming skills.
- Pricing details are not publicly listed, with custom quotes for Business and Enterprise plans, making cost comparison difficult.
as of 2026-08-14
Verification history
We have re-verified Mode 16 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 16 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Mode tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Solo analysts or small teams (up to 5 users) who want to explore Mode's SQL, Python, and dashboard features without cost and are comfortable with public reports.
What this tier adds
Starting tier: includes core features like SQL editor, integrated notebooks, Visual Explorer, and dashboards, but limits to 5 users and public reports only.
Professional
Custom
Ideal for
Growing data teams that need private reports, advanced governance, and priority support but don't yet require enterprise security features.
What this tier adds
Adds private reports, advanced governance, and priority support over the Free tier (custom pricing).
Enterprise
Custom
Ideal for
Large organizations with strict security and compliance requirements that need SSO/SAML, dedicated support, and custom SLAs.
What this tier adds
Adds advanced security (SSO/SAML), dedicated support, and custom SLA on top of Professional (custom pricing).
Where the pricing makes sense
The company stage and team size where Mode's pricing actually pencils out — and where peers do it cheaper.
Mode's free tier is generous for small teams (5 users, public reports). Paid plans are custom-quoted, which fits mid-market and enterprise budgets but makes it harder to compare with transparent competitors like Looker or Tableau, which offer published per-user pricing.
Setup time & first value
How long it actually takes to get something useful out of Mode — broken out by persona, not the marketing-page minute.
For a solo analyst: 30 minutes to connect a warehouse and run your first query. For a team: plan for a few hours to set up governed Datasets, permissions, and dashboards. Enterprise SSO and custom setups may take longer.
Switching to or from Mode
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Excel: import your spreadsheets (including Google Sheets) and rebuild key reports in Mode's SQL editor and dashboards.
- →From a legacy BI tool (e.g., Tableau or Looker): export your data connections and recreate dashboards in Mode, leveraging version control and governed datasets.
- →From scattered notebooks: move your Python/R notebooks into Mode's integrated notebook environment to centralize analysis.
- ↗To Tableau: export dashboards and connect directly to your warehouse to rebuild visualizations.
- ↗To Looker: recreate LookML models based on your Mode queries and datasets.
- ↗To a modern notebook-first platform (e.g., Hex): export your analyses and migrate workflows.
Integrations
Resources & Guides
- Resourcemode.com
Sql Tutorial
Helpful link from mode.com
- Resourcemode.com
Mode Python Tutorial |
Python is an extremely versatile programming language. This plain English tutorial for business analysis covers the basics you need to get real work done.
- Resourcemode.com
Mode Example Gallery |
Data visualization gallery with sample reports. Copy them with your own data for a quick start with Mode Analytics
- Resourcemode.com
Mode Blog
Mode Analytics
Tutorials & Learning
Official links
Tools that pair well with Mode
Common stack mates teams adopt alongside Mode, with the specific reason each pairing earns its keep.
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Frequently Asked Questions
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