Mode
Contact SalesModern Business Intelligence platform uniting data teams and business teams
By Tanmay Verma, Founder · Last verified 21 May 2026
3.2k views
Added 4/3/2026
80/100Safe BetModern Business Intelligence platform uniting data teams and business teams
By Tanmay Verma, Founder · Last verified 21 May 2026
Affiliate disclosure: We earn a commission when you use our links. Editorial picks are independent. How we choose.
A robust choice for data teams that want a single platform for both ad hoc SQL analysis and governed self-service reporting. Its integrated notebooks and AI Assist are standout features, though pricing transparency is limited. Best for organizations already invested in a modern data stack and seeking to scale data access without rigid data models.
Compare with: Mode vs Obviously AI, Mode vs Julius AI, Mode vs Hex
Last verified: May 2026
Mode is built for data teams that need a collaborative environment where SQL, Python, and R coexist with drag-and-drop visualizations. If your team values code-first analysis but also needs to deliver governed dashboards to business users, Mode's unified platform reduces tool switching. It's particularly strong for ad hoc analysis and iterative querying, with a SQL editor that data analysts love. However, if you're looking for a purely no-code BI tool for business users, Mode might feel too technical. Its integration with the existing data stack (warehouse, ingestion) is seamless, but the pricing appears to be enterprise-focused with no clear free tier for small teams. Compared to alternatives like Looker or Tableau, Mode offers more flexibility for advanced analytics with its integrated notebooks, but may lack some of the polished self-service features of Tableau. A real-world caveat: while AI Assist is mentioned, the extent of its capabilities isn't detailed, so users should evaluate its maturity. Overall, Mode is a solid pick for data-driven organizations that want one hub for analysis and reporting.
Skip Mode if Skip Mode if you need a drag-and-drop BI tool for business users with no SQL or Python skills.
How likely is Mode to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
Mode is a modern business intelligence (BI) platform that acts as the intelligence layer for your data stack, uniting data teams and business teams around analytical work. Designed for data analysts, data scientists, and business users, Mode enables ad hoc analysis, advanced analytics, self-serve reporting, custom data apps, and interactive dashboards all in one platform. Key features include a SQL Editor, Integrated Notebooks (supporting Python and R), a Visual Explorer, Reports & Dashboards, governed Datasets, AI Assist, and robust security integrations. Mode amplifies your existing data stack investment by making meaningful data accessible across the organization without long implementation times. Compared to traditional BI tools, Mode offers a flexible, code-friendly environment that supports both deep technical analysis and easy self-service, positioning itself as a central hub for collaborative data-driven decision-making.
Concrete scenarios for the personas Mode actually fits — and what changes day-one when you adopt it.
You need to answer a time-sensitive business question by querying the warehouse, then share the results as a dashboard.
Outcome: Write SQL in the editor, run queries, visualize with drag-and-drop, and publish a dashboard to stakeholders—all within Mode.
You want to build a Python model on data queried from the warehouse and share the results.
Outcome: Use the SQL Editor to fetch data, then switch to the Python Notebook to build and train model, then create a report with visualizations.
You need to explore a governed dataset without writing code.
Outcome: Access a curated Dataset created by your data team, then use Visual Explorer to drag-and-drop dimensions and measures into a chart.
The self-service experience for non-technical users is limited compared to tools like Tableau or Power BI. The AI Assist feature is helpful but not as advanced as dedicated AI writing tools. Pricing for Business and Enterprise plans is not publicly listed, which can make cost comparison difficult. Mode relies heavily on SQL and Python, so technical skill is required to get the most out of the platform.
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.
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
Ideal for
Solo analysts or learners exploring Mode with public reports and basic SQL queries.
What this tier adds
Starting tier with community features, public reports only, no private workspaces.
Business
Custom
Ideal for
Data teams within mid-size companies that need private workspaces, unlimited queries, and embedding capabilities.
What this tier adds
Adds private workspaces, unlimited queries, dashboard embedding, and AI features compared to Free.
Enterprise
Custom
Ideal for
Large organizations requiring SSO, advanced governance, and dedicated support.
What this tier adds
Adds SSO, governance controls, and dedicated support compared to Business.
The company stage and team size where Mode's pricing actually pencils out — and where peers do it cheaper.
Mode's free tier is good for individual analysts exploring data, but collaborative features require Business (custom pricing) or Enterprise (custom pricing). Compared to Metabase (open-source, free self-hosted) or Looker (per-user pricing), Mode is more expensive for larger teams due to opaque pricing. It fits mid-size to enterprise companies that value governed datasets and code-friendly analytics.
How long it actually takes to get something useful out of Mode — broken out by persona, not the marketing-page minute.
You can be up and running in 30 minutes: connect Mode to your warehouse (Snowflake, BigQuery, Redshift, PostgreSQL), run your first SQL query, and share a report. Data analysts can start immediately, while business users need datasets pre-configured by the data team.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
Common stack mates teams adopt alongside Mode, with the specific reason each pairing earns its keep.
Used Mode? Help shape our editorial sentiment research.
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Last calculated: May 2026
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