Hex
Collaborative notebooks and data apps for modern data teams.
Alternatives · 2026
Alternatives to Mode
Analytics platform combining SQL, Python, and dashboards.
8 hand-curated alternatives from MintedSaaS's directory. See the Mode listing →
Mode is a data analytics platform built around SQL, Python, and visual dashboards. It's positioned for teams—typically data analysts, product analysts, and business intelligence professionals—who want to write queries directly and build reports without moving data around or switching tools. The product lets you execute SQL against your warehouse, transform results with Python, and layer interactive visualizations on top, all within a single web interface.
Mode is used in workflows where teams need flexibility in data transformation. An analyst writes a SQL query, applies Python transformations if needed, then builds a dashboard or report that stakeholders can view and filter. It's popular with mid-market companies that already have a cloud data warehouse (Snowflake, BigQuery, Redshift) and want to skip the batch-export, spreadsheet-juggling step. The buyer is typically data-forward: they value direct access to the data and code-first methodology over point-and-click builders.
What we offer that competes
Preset
Hosted Apache Superset for open-source business intelligence.
Qlik Sense
Self-service BI with an associative analytics engine.
Sigma
Cloud analytics tool with a spreadsheet-style interface on warehouses.
Power BI
Microsoft's business analytics service for reports and dashboards.
Metabase
Open-source BI tool that lets anyone query and chart data.
Looker
Modern BI platform built around a semantic modeling layer.
Tableau
Visual analytics platform for exploring and sharing data.
What to look for
- Whether the platform supports Python natively or requires you to handle transformations in your data warehouse separately.
- Whether dashboards can be embedded into customer applications with white-label styling and role-based access control.
- Whether the product offers a free tier or free-to-self-host option without requiring a sales conversation.
- Whether the query editor provides real-time schema introspection and autocomplete for your specific warehouse dialect.
- Whether row-level access control is enforced at the query level or requires manual filtering in each dashboard.
- Whether the platform can scale to hundreds of concurrent dashboard users or is designed for smaller team sizes.
FAQ
What's the main difference between Mode and other analytics platforms like Looker or Tableau?
Mode prioritizes SQL-and-Python-first workflows, where your code is the source of truth. Looker and Tableau emphasize visual builders and semantic layers that abstract the warehouse; they're better if your team wants no-code dashboarding. Mode is better if you want to write queries directly and own the transformation logic.
Are there free alternatives to Mode?
Yes. Metabase has a strong free tier with SQL queries and dashboards, though it lacks Python support. Preset is a free-to-start cloud version of Apache Superset. Power BI and Tableau both have free trials but aren't free long-term unless you're in an academic context.
Can I use Python for data transformation in analytics platforms?
Mode and Hex both support Python for transformations within the platform. Most others—Looker, Tableau, Qlik Sense, Power BI—don't; they expect your warehouse or data pipeline to handle Python logic, then they query the results.
What's the best alternative to Mode for small teams?
Metabase is the most cost-effective for small teams. It's free to self-host, includes SQL queries and dashboarding, and works with any major warehouse. Hex is pricier but offers better Python support and a more polished notebook experience if your team is code-heavy.
Do I need a data warehouse to use Mode alternatives?
All eight alternatives require some data source—cloud warehouse, database, or API—to function. Metabase and Preset can work with PostgreSQL or MySQL on-premise; others like Sigma and Tableau prefer cloud warehouses like Snowflake or BigQuery.
Which Mode alternative is easiest for non-technical users?
Tableau and Power BI are built for drag-and-drop, point-and-click dashboarding. Qlik Sense offers associative analytics with minimal coding. Metabase is simpler than Mode but still requires SQL knowledge for custom reports.
Can Mode alternatives be embedded into customer-facing applications?
Looker and Tableau both have white-label embedding and managed APIs for embedding. Sigma offers embedded dashboards with strong access controls. Mode, Hex, and Metabase are less mature on embedding; check their documentation for your use case.
What's the difference between Hex and Mode?
Hex is a notebook interface combining SQL, Python, and markdown in a single document; it's collaborative and visual by default. Mode is query-then-dashboard; you write SQL separately from the dashboard UI. Both support Python, but Hex feels more like a Jupyter notebook, Mode more like a BI tool.