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Klipfolio vs Redash

A detailed comparison to help you choose the right tool for your needs.

Klipfolio logo

Klipfolio

Analytics

Try Klipfolio
VS
Redash logo

Redash

Analytics

Try Redash

A
About Klipfolio

Klipfolio is a cloud-based analytics and dashboard platform that allows businesses to pull data from hundreds of sources and visualize it in real-time custom dashboards. It offers two main products: Klipfolio PowerMetrics, a metrics catalog for standardizing and sharing KPIs, and Klipfolio Klips, a more traditional dashboard builder for creating detailed visualizations. The platform is particularly well-suited for small to mid-sized businesses, marketing agencies, and data-driven teams who need to consolidate metrics from multiple tools without heavy engineering resources. Its flexible data connectors and formula editor give technical users significant control, though the learning curve can be steep for non-technical users.

B
About Redash

Redash is an open-source data querying and visualization platform that lets teams connect to virtually any database, write SQL queries, and build interactive dashboards. It's designed for data analysts, engineers, and anyone comfortable writing queries who needs a lightweight way to explore data and share insights across an organization. Unlike heavier BI tools, Redash focuses on doing one thing well: making it easy to query, visualize, and collaborate on data without a steep learning curve. Its open-source nature and broad database support make it a popular choice for startups and data-driven teams that want flexibility without vendor lock-in.

Pricing Comparison

Tool
Klipfolio
Redash
Price
From $49/user/mo
Free (open-source)
Category
Analytics
Analytics
Rating
4.0 (12)
4.4 (15)
Free Plan
No
Yes
Integrations
8+ apps
8+ apps
Founded
2001
2013

Feature Comparison

Feature
Klipfolio
Redash
Customizable real-time dashboards
Data source integration from multiple platforms
Visual data representation with charts
Collaboration tools for team sharing
Automated report generation
Data alerts and notifications
SQL query editor
Dashboard builder
Scheduled queries
Alert system
API access
Self-hostable

Choose Klipfolio

Klipfolio is a powerful analytics tool for real-time data visualization.

Try Klipfolio Free

Read full review

Choose Redash

Open-source data visualization and dashboarding tool that connects to any SQL database.

Try Redash Free

Read full review

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Score Comparison

Ease of Use
7.0
7.0
Features
8.0
8.0
Pricing
6.0
10.0
Support
7.0
6.0
Integrations
8.0
8.0
Overall
7.2
7.8
KlipfolioRedash

Our Verdict

Klipfolio

Your data-driven team needs real-time visualizations for complex metrics and can afford higher costs.

Better support
RedashWinner

Your data team needs a customizable, open-source dashboarding tool that connects to SQL databases without cost.

More affordable

Klipfolio vs Redash: The Bottom Line

Both Klipfolio and Redash are strong analytics tools, but they serve different needs. Redash has a higher user rating (4.4 vs 4.0). On pricing, Redash is more affordable starting at $0/mo.

Still unsure? Check the full reviews for Klipfolio and Redash, explore Klipfolio alternatives, or use our AI search to describe exactly what you need.

Frequently Asked Questions

Is Klipfolio or Redash better?

It depends on your needs. Klipfolio (4.0★) is from $45/mo, while Redash (4.4★) is free to start. Redash has a higher user rating.

Can I switch from Klipfolio to Redash?

Yes. Most SaaS tools offer data export features. Check if Redash has a migration guide or import tool specifically for Klipfolio users. Many offer onboarding assistance for switchers.

Which is cheaper, Klipfolio or Redash?

Redash starts at $0/mo, which is cheaper than Klipfolio at $45/mo. Redash also offers a free plan.

What are the main differences between Klipfolio and Redash?

Klipfolio focuses on customizable real-time dashboards and data source integration from multiple platforms, while Redash emphasizes sql query editor and dashboard builder. Both are in the Analytics category but serve slightly different use cases.