Mode

Mode

Freemium

SQL-first analytics platform combining a collaborative query editor, Python and R notebooks, and interactive dashboards in one workspace for data teams.

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What is Mode?

Mode is a cloud-based analytics platform purpose-built for data analysts who want to write SQL, run Python or R notebooks, and build shareable dashboards all in one place without switching between tools. The shared SQL editor lets analysts write, save, and organize all their analytical work collaboratively, while the Helix in-memory data engine streams query results for fast, interactive filtering. Python and R notebooks are natively integrated, enabling advanced statistical modeling, machine learning, and custom visualization within the same report. Mode was acquired by ThoughtSpot in 2023, reinforcing its position as a bridge between analyst-grade SQL tooling and business-user-friendly reporting. The platform is designed for analytics-forward companies that need a single platform to unite data teams and business stakeholders around analytical work.

Key Features

Shared SQL EditorPython and R NotebooksHelix In-Memory EngineInteractive DashboardsAutomated Report SchedulingSQL AutocompleteCustom Chart BuilderHTML Chart CustomizationSlack and Email SharingAPI AccessEmbedded AnalyticsSnowflake ConnectorBigQuery ConnectorReport Version HistoryParameter Filters

How to Use Mode

1Connect Mode to your data warehouse (Redshift, Snowflake, BigQuery, PostgreSQL, and more)
2Write SQL queries in the collaborative editor with autocomplete and query history
3Load results into Python or R notebooks for advanced statistical analysis
4Build interactive dashboards with drag-and-drop charts, filters, and text blocks
5Share reports via Slack, email, or embed them in your internal tools or product

✅ Best For

  • Data analysts and analytics engineers who want to write SQL and run Python or R notebooks in one place and share polished, interactive reports with business stakeholders without switching between multiple tools.
  • Analytics teams at mid-size SaaS and technology companies that need a centralized platform for both ad-hoc analysis and recurring stakeholder reporting, replacing a fragmented stack of SQL editors, notebooks, and dashboarding tools.

❌ Not For

  • Non-technical business users who need a no-code, drag-and-drop analytics experience, as Mode's core workflow is SQL-first and assumes familiarity with writing queries.
  • Large enterprises requiring advanced data governance, fine-grained role hierarchies, or SSO without upgrading to the Enterprise plan, as these features are gated behind higher-tier pricing.

Reviews

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Pricing

Studio$0
  • ✓Up to 3 users
  • ✓private DB connections
  • ✓SQL
  • ✓Python
  • ✓R
  • ✓10MB/query
BusinessCustom
  • ✓250GB/month data
  • ✓scheduling
  • ✓API access
  • ✓Slack sharing
  • ✓team collaboration
EnterpriseCustom
  • ✓50+ seats
  • ✓SSO
  • ✓SCIM
  • ✓admin APIs
  • ✓large-scale visualizations
  • ✓premium support

Prompts to Try

Show me a 90-day retention curve for users who signed up in January

Write a Python script to build a linear regression on our sales data

Which cohort of users has the highest lifetime value based on acquisition channel?

Schedule a weekly SQL report of new MRR by pricing plan delivered to Slack

Build a dashboard showing product engagement by feature for the last 30 days

Use Cases

A growth analyst at a SaaS company writes a SQL query in Mode to segment users by activation milestone, then runs a Python notebook on the same results to build a survival analysis, sharing the complete findings as a single branded report with the product team.
A data team lead uses Mode's shared SQL editor to standardize all company metric definitions in a single library, so every analyst pulls from the same source tables instead of writing conflicting queries.
An analytics engineer at an e-commerce startup builds a weekly revenue report in Mode that auto-refreshes every Monday at 8am and sends a Slack digest to the sales team, replacing 3 hours of manual reporting.
A product manager uses Mode's parameter filters to explore user retention by cohort interactively, drilling from monthly aggregates to weekly breakdowns without asking the data team for a new report.
A head of data uses Mode's report history to audit how a key churn metric was calculated 6 months ago, tracing the exact SQL and Python logic without relying on spreadsheet documentation.

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Frequently Asked Questions