Mode
FreemiumBI platform uniting SQL, Python, R analysis with governed self-serve dashboards
By Tanmay Verma, Founder · Last verified 05 Jul 2026
3.2k views
Added 4/3/2026
70/100Safe BetIn short
Mode — BI platform uniting SQL, Python, R analysis with governed self-serve dashboards. Best for Data teams needing unified SQL/Python/R analysis and governed dashboards, Organizations using Snowflake, BigQuery, or Redshift, Teams that want to combine coding with self-service BI. Free to use.
Is Mode actually worth it?
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Editorial Verdict
Best for
Data teams needing unified SQL/Python/R analysis and governed dashboardsOrganizations using Snowflake, BigQuery, or RedshiftTeams that want to combine coding with self-service BICompanies building custom internal data apps via embedded analyticsMid-market to enterprise teams with dedicated data analysts
Not ideal for
Teams needing a free or low-cost BI tool for basic reportingOrganizations preferring a no-code interface for business usersSmall startups with simple data needs and no SQL expertiseUsers seeking a standalone visualization tool without data stack integration
A strong choice for data teams that want both coding and governed dashboards in one place. The free tier is generous, but pricing beyond is opaque and custom-only. If your team lives in SQL and R, Mode is a great fit; if you need pure no-code self-service, look elsewhere.
Skip Mode if Skip Mode if you need a no-code BI tool for business users or have a very limited budget.
Compare with: Mode vs Klue, Mode vs Domo, Mode vs Sigma Computing
Last verified: July 2026
What's new in Mode
Checked 3 days agoAcross the latest 1 update: 1 feature update.
Viability Score
70/100
Safe BetHow likely is Mode to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
38
funding runway
80
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- SQL editor with autocomplete and sharing
- Integrated Python and R notebooks
- Visual Explorer for drag-and-drop charts
- Interactive dashboards with drill-down filters
- Governed reusable datasets
- AI Assist for natural language to SQL
- Embedded analytics for custom data apps
- Report scheduling and email distribution
- Version control for queries and dashboards
- Collaborative annotations and commenting
- Role-based access control and data permissions
- Google Sheets integration
- Custom branding and white-labeling
- Ad hoc analysis with rapid SQL iteration
- Self-serve reporting backed by governed metrics
About Mode
FreemiumIntermediateAPI availableWeb
Mode is a modern business intelligence platform designed for data teams that need to perform ad hoc SQL, Python, and R analysis and then package those insights into interactive dashboards and governed self-service reports. It unites analysts and business users on a single platform, allowing deep technical work alongside easy-to-use reporting. Key capabilities include a powerful SQL editor with autocomplete and sharing, integrated Python and R notebooks, a drag-and-drop Visual Explorer, reusable governed Datasets, AI Assist for natural language querying, and custom data apps via embedded analytics. Mode connects to modern warehouses like Snowflake, BigQuery, and Redshift, and was acquired by ThoughtSpot. Its free tier supports up to 5 users with public reports; paid tiers unlock private workspaces, embedding, and enterprise governance. A recent Google Sheets integration allows importing spreadsheet data directly into Mode for analysis and governance. Mode positions itself as the intelligence layer for the modern data stack, differentiating from pure-play BI tools like Tableau or Looker by offering a more code-friendly environment for data teams.
Behind the Verdict
Mode is a solid pick for organizations where data analysts need to write SQL, Python, or R, and then share polished dashboards with the rest of the business. The integrated notebook support makes it easier to iterate on complex models without switching tools. We'd reach for this when your team has strong SQL skills and wants a single platform for ad hoc analysis and governed reporting. Where it bites: pricing beyond the free tier is custom and can get expensive, and self-service for non-technical users is not as drag-and-drop as, say, Looker or Metabase. Compared to Tableau, Mode leans much harder into code—great for analysts, less so for business users wanting to build their own charts from scratch. In practice, the AI Assist feature for natural language to SQL is still maturing, so don't expect it to replace a competent analyst. The Google Sheets integration is a nice touch for importing messy business data into governance. Best suited for mid-market to enterprise teams that already have a modern warehouse and dedicated data folks, not for small startups needing a free, simple 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.
Data analyst
You need to explore a new Snowflake data set and share findings quickly.
Outcome: Write SQL in the editor, iterate with AI Assist, create a dashboard with Visual Explorer, and share a public link (free tier) within minutes.
BI manager
You need to deliver governed self-serve reports to multiple departments.
Outcome: Use Datasets to define metrics and permissions, then let business users explore via Visual Explorer without writing SQL. Schedule email reports for weekly summaries.
Data engineer
You want to embed analytics into a customer-facing product.
Outcome: Build analysis in Mode, then use Embedded Analytics (Enterprise) to embed dashboards into your app with custom branding and row-level security.
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
AI Assist (proprietary LLM for SQL generation)
as of 2026-06-29
Limitations
- Self-service for non-technical users is limited compared to Tableau or Power BI.
- AI Assist is helpful for SQL generation but not as advanced as dedicated AI tools.
- Pricing for Business and Enterprise is custom-only, making cost comparison difficult.
- Mode relies heavily on SQL and Python; non-technical users will need training.
- Free tier only supports public reports and basic SQL.
as of 2026-06-29
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly
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
Small data teams of up to 5 users who can share public reports and don't need private workspaces
What this tier adds
Starting tier with no cost, but limited to 5 users, public reports only, and community support.
Professional
Custom
Enterprise
Custom
Ideal for
Large organizations requiring advanced security, embedded analytics, and SLA-backed support
What this tier adds
Adds SSO, audit logs, embedded analytics, dedicated support, and SLA guarantees.
Integrations
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 teams up to 5, but beyond that you'll pay custom pricing that can be expensive for startups. Compare with Looker (SQL-based, similarly priced) or Metabase (open-source, free for self-hosted). For budget-conscious teams, Metabase or Superset may offer more predictable costs.
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 data analyst familiar with SQL, you can connect Mode to Snowflake/BigQuery and run your first query in under 10 minutes. A full governance setup with datasets and permissions typically takes a few hours. The vendor claims 30 minutes to first value for ad hoc analysis.
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.
Migrating in
- →From Looker: Mode offers a SQL-native experience that may feel simpler for analysts. You can import LookML models via dbt or rebuild them in Mode's Datasets.
Migrating out
- ↗To Metabase: Export your dashboards as code (SQL queries) and recreate them in Metabase. Mode's datasets need manual remapping.
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
Frequently Asked Questions
Tools that pair well with Mode
Common stack mates teams adopt alongside Mode, with the specific reason each pairing earns its keep.
Alternatives to Mode
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