Mode is a cloud-based business intelligence platform that empowers data and business teams to collaborate effectively. It integrates SQL, Python, and R for rapid data analysis, offering drag-and-drop visual analytics and self-service reporting.
With its Helix data engine, Mode enables custom visualizations, embedded analytics, and seamless integrations with data warehouses, driving actionable insights for industries like finance and healthcare.
SQL Editor: Intuitive interface to write and run queries. Includes autocomplete, highlighting, and query history.
Visual Explorer: Drag-and-drop builder for charts and dashboards. Lets non-technical users visualize results without coding.
Integrated Notebooks: Combines SQL, Python, and R in one workspace with visuals and markdown for advanced analysis.
Reports and Dashboards: Build interactive reports with themes, layouts, or custom HTML/CSS.
Embedded Analytics: Embed dashboards into apps or sites with internal or white-label options.
Data Integration: Connects to MySQL, Snowflake, BigQuery, and more. Supports secure connectors behind firewalls.
Collaboration Tools: Share via email, Slack, or links. Control access with collections and permissions.
Scheduling and Automation: Schedule automatic report updates and delivery with custom parameters.
API Access: Manage workspaces, reports, and queries programmatically. Integrates with tools like Zapier.
Security and Permissions: Offers user-specific permissions, SSO, and SAML for secure access.
| Plan | Pricing Details |
|---|---|
| Studio | Free (up to 3 users) |
| Pro (Business) | Contact Mode for pricing |
| Enterprise | Contact Mode for pricing |
| Estimated Range | ~$6,000 to ~$50,000/year (varies widely) |
Competitor |
Pros of Mode |
|---|---|
| Looker | Mode shines with its seamless integration of SQL, Python, and R, which empowers technical users to dive deep into data analysis. Its drag-and-drop Visual Explorer makes it accessible for non-technical users, and this balances usability with power. Compared to Looker, Mode’s collaborative notebooks foster teamwork across data and business teams, and its Helix data engine ensures fast query performance, even with complex datasets.
Users on platforms like G2 praise Mode’s intuitive interface, which often feels more straightforward than Looker’s steeper learning curve for non-technical users. |
| Tableau | Mode’s strength lies in its code-first approach, which appeals to data scientists who need flexibility with SQL, Python, and R, unlike Tableau’s focus on drag-and-drop visualization. Its cloud-based platform offers real-time collaboration, and this enables quick sharing of insights via Slack or email.
Mode’s customizable dashboards and embedded analytics are competitive, and users on Capterra note its ease of setup for small teams, which can be less complex than Tableau’s enterprise setup. |
| Microsoft Power BI | Mode stands out for its unified platform that blends coding and visual analytics, which suits teams needing both technical depth and user-friendly reporting. Its integration with data warehouses like Snowflake is seamless, and this ensures robust data connectivity.
Compared to Power BI, Mode’s focus on technical users gives it an edge for complex analyses, and G2 reviews highlight its flexibility for custom workflows, which Power BI’s structured interface may not match. |
| Amazon QuickSight | Mode offers a more flexible coding environment with SQL, Python, and R support, which contrasts with QuickSight’s emphasis on AWS integration and simplicity. Its collaborative features, like shared notebooks, enhance team productivity, and users appreciate its clean interface for quick insights, as noted on SoftwareReviews. Mode’s ability to handle advanced analytics without heavy setup makes it appealing for teams seeking agility over QuickSight’s cloud-focused approach. |
| Sisense | Mode’s intuitive SQL editor and notebook integration make it a favorite for technical teams, and its drag-and-drop visualization tools rival Sisense’s offerings for non-technical users.
Its collaborative environment supports real-time sharing, which users on Capterra find valuable for cross-team workflows. Mode’s scalability for mid-to-large enterprises is competitive, and its Helix engine ensures fast performance, which gives it an edge over Sisense’s sometimes slower setup. |
Competitor |
Cons of Mode |
|---|---|
| Looker | Mode can lag in advanced data modeling compared to Looker, which offers robust LookML for custom data frameworks, and this makes Looker better for complex enterprise needs.
Some G2 users note Mode’s visualization options are less extensive, and its pricing, while not public, is perceived as less transparent than Looker’s $2,000/month starting point. Mode’s learning curve for non-technical users can also feel steep, which limits its accessibility. |
| Tableau | Mode’s visualization capabilities are less polished than Tableau’s, which excels in creating intricate, publication-ready dashboards, and this can frustrate users needing advanced charting. Capterra reviews mention Mode’s lack of mobile support as a drawback, unlike Tableau’s mobile-friendly platform.
Its pricing structure, not publicly detailed, may pose budgeting challenges compared to Tableau’s clear $15/user/month plan, and this affects cost predictability. |
| Microsoft Power BI | Mode’s lack of mobile support and limited out-of-the-box templates can hinder accessibility compared to Power BI, which offers robust mobile apps and pre-built visuals, and this suits diverse teams.
Power BI’s transparent pricing at $10/user/month contrasts with Mode’s opaque costs, which users on PeerSpot note as a budgeting issue. Mode’s slower query execution for large datasets can also frustrate users, unlike Power BI’s optimized performance. |
| Amazon QuickSight | Mode’s setup costs, though not publicly detailed, are perceived as higher than QuickSight’s affordable per-user/month model, and this makes QuickSight more appealing for budget-conscious teams.
QuickSight’s seamless AWS integration outshines Mode’s more general data connectors, and G2 users report Mode’s charting limitations and occasional slow query performance, which QuickSight handles better in AWS environments. |
| Sisense | Mode’s visualization tools are less comprehensive than Sisense’s, which offers richer charting options, and this can limit creative reporting. Users on Capterra highlight issues with Mode’s PDF export functionality, which cuts off tables, unlike Sisense’s smoother export features.
Mode’s lack of transparent pricing compared to Sisense’s clearer models can complicate budgeting, and its community support is less robust, which impacts user resources. |
