Mode Analytics vs Redash: Complete Comparison (2026)

By Marcus Johnson, Marketing & Growth Specialistยท7 years of experienceยทUpdated 2026-04-24ยท8 min read

In comparing Mode Analytics and Redash in 2026, Redash is the stronger choice for data teams wanting a free, sql-based dashboard tool they can self-host due to free and open-source. Mode Analytics excels for data teams wanting sql and python analytics with collaborative reporting with combines sql and python in one tool. Mode Analytics offers SQL editor, Python notebooks, Interactive dashboards starting at Custom pricing with a free plan. Redash provides SQL editor, Dashboards, Scheduled queries from Free (self-hosted) with a free tier. For teams prioritizing value, Redash delivers a hiltonsoftware Score of 69/100. Mode Analytics and Redash compete in the analytics & bi segment of the SaaS market, where cloud-native solutions, API integrations, and workflow automation drive enterprise and SMB adoption. Other leading analytics & bi tools include Google Analytics, Tableau, Power BI. Mode Analytics serves 4K+ orgs users globally (founded 2013) while Redash reports 50K+ active users (founded 2013).

Mode Analytics vs Redash at a Glance

Mode Analytics
Redash
Starting Price
Custom pricing
Free (self-hosted)
Free Plan
Yes
Yes
User Rating
4.4/5
4.3/5
Best For
Data teams wanting SQL and Python analytics with c...
Data teams wanting a free, SQL-based dashboard too...
Users
4K+ orgs
50K+
Founded
2013
2013
hiltonsoftware Score
65/100
69/100
Pricing verified: March 2026 ยท Based on official vendor data
๐Ÿ“
Mode Analytics
Analytics & BI
65
hiltonsoftware.co Score
VS
๐Ÿ“Š
Redash
Analytics & BI
69
hiltonsoftware.co Score
RECOMMENDED

What are the main differences between Mode Analytics and Redash?

Mode Analytics and Redash differ across ease of use, features, value, support, integrations, scalability, and learning curve. Redash leads in 4 of 7 categories.

Mode AnalyticsRedash
84Ease of Use79
79Features74
70Value for Money70
65Customer Support67
57Integrations62
58Scalability58
74Learning Curve70

What are the pros and cons of Mode Analytics vs Redash?

Mode Analytics
+Combines SQL and Python in one tool
+Great for data teams
-Requires technical skills
-Dashboard design is limited
Redash
+Free and open-source
+Supports many data sources
-Requires SQL knowledge
-Self-hosted maintenance

Which is better, Mode Analytics or Redash?

After evaluating Mode Analytics and Redash across features, pricing, integrations, and user satisfaction, Redash earns a higher hiltonsoftware Score of 69/100 versus Mode Analytics at 65/100. Redash stands out for "free and open-source" and "supports many data sources". Mode Analytics delivers competitive advantages in "combines sql and python in one tool", making Mode Analytics a viable alternative.

Both Mode Analytics and Redash offer free plans. Mode Analytics paid plans start at Custom pricing while Redash begins at Free (self-hosted). ROI depends on which features justify upgrading.

Bottom line: Choose Mode Analytics for data teams wanting sql and python analytics with collaborative reporting. Choose Redash for data teams wanting a free, sql-based dashboard tool they can self-host. Both Mode Analytics and Redash are established analytics & bi platforms.

CHOOSE MODE ANALYTICS IF:

Data teams wanting SQL and Python analytics with collaborative reporting.

CHOOSE REDASH IF:

Data teams wanting a free, SQL-based dashboard tool they can self-host.

Mode Analytics vs Redash: Frequently Asked Questions

Is Mode Analytics better than Redash in 2026?
Redash outperforms Mode Analytics in the 2026 hiltonsoftware.co analysis with a score of 69/100 compared to 65/100. Mode Analytics excels in SQL editor, Python notebooks, Interactive dashboards, making Mode Analytics the better choice for Data teams wanting SQL and Python analytics with collaborative reporting. Redash is the stronger option for Data teams wanting a free, SQL-based dashboard tool they can self-host due to free and open-source. For teams needing sql editor, hiltonsoftware.co recommends Redash.
How does Mode Analytics pricing compare to Redash in 2026?
Mode Analytics starts at Custom pricing and includes a free plan. Redash starts at Free (self-hosted) and offers a free plan. Mode Analytics includes features like SQL editor, Python notebooks, Interactive dashboards. Redash provides SQL editor, Dashboards, Scheduled queries. Mode Analytics serves 4K+ orgs users while Redash serves 50K+ users. Evaluate total cost of ownership based on team size and required integrations.
What are the main differences between Mode Analytics and Redash?
Mode Analytics specializes in SQL editor, Python notebooks, Interactive dashboards, earning a 65/100 hiltonsoftware Score. Redash focuses on SQL editor, Dashboards, Scheduled queries, scoring 69/100. Mode Analytics is best for Data teams wanting SQL and Python analytics with collaborative reporting. Redash is best for Data teams wanting a free, SQL-based dashboard tool they can self-host. Both Mode Analytics and Redash serve the Analytics & BI market but target different user profiles.
Can I migrate from Mode Analytics to Redash?
Migrating from Mode Analytics to Redash is possible since both operate in the Analytics & BI space. Export data from Mode Analytics and verify Redash import capabilities. Key features to evaluate: SQL editor, Python notebooks, Interactive dashboards (Mode Analytics) versus SQL editor, Dashboards, Scheduled queries (Redash). Running both Mode Analytics and Redash in parallel during a trial period ensures a smooth transition.
Is Mode Analytics or Redash better for small business?
Both Mode Analytics and Redash offer free plans. Mode Analytics (65/100) is ideal for Data teams wanting SQL and Python analytics with collaborative reporting. Redash (69/100) fits Data teams wanting a free, SQL-based dashboard tool they can self-host. Evaluate both during trial periods.

Reviewed by Marcus Johnson, Marketing & Growth Specialist. Last updated: 2026-04-24. Pricing verified: March 2026.

Read our scoring methodology to understand how the hiltonsoftware Score is calculated.

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