TrustRadius

Apache Superset vs. Redash

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Superset
Score 8.0 out of 10
N/A
Apache Superset is an open source data exploration and visualization platform, presented as lightweight but loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts. Superset can connect to any SQL based datasource through SQLAlchemy, including modern cloud native databases and engines at petabyte scale.N/A
Redash
Score 7.9 out of 10
N/A
Redash is a data visualization tool designed to allow users to connect and query any data sources, build dashboards to visualize data and share them with a company. Databricks acquired Redash in June 2020.N/A
Pricing
Apache SupersetRedash
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache SupersetRedash
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Apache SupersetRedash
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Apache SupersetRedash
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Apache Superset
-
Ratings
Redash
6.5
4 Ratings
25% below category average
Pixel Perfect reports00 Ratings7.24 Ratings
Customizable dashboards00 Ratings7.14 Ratings
Report Formatting Templates00 Ratings5.44 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Apache Superset
-
Ratings
Redash
5.8
4 Ratings
32% below category average
Drill-down analysis00 Ratings5.44 Ratings
Formatting capabilities00 Ratings7.14 Ratings
Integration with R or other statistical packages00 Ratings2.93 Ratings
Report sharing and collaboration00 Ratings7.84 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Apache Superset
-
Ratings
Redash
5.5
4 Ratings
41% below category average
Publish to Web00 Ratings8.02 Ratings
Publish to PDF00 Ratings7.24 Ratings
Report Versioning00 Ratings5.53 Ratings
Report Delivery Scheduling00 Ratings2.73 Ratings
Delivery to Remote Servers00 Ratings3.93 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Apache Superset
-
Ratings
Redash
6.4
4 Ratings
24% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings6.94 Ratings
Location Analytics / Geographic Visualization00 Ratings7.52 Ratings
Predictive Analytics00 Ratings4.33 Ratings
Pattern Recognition and Data Mining00 Ratings7.01 Ratings
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User Ratings
Apache SupersetRedash
Likelihood to Recommend
-
(0 ratings)
8.0
(4 ratings)
User Testimonials
Apache SupersetRedash
Likelihood to Recommend
Apache
No answers on this topic
Databricks
Redash is well suited to situations where metrics are tracked on daily, weekly and monthly basis. Alerts can be set to emails which helps stakeholders to monitor performance on a frequent basis. It is less appropriate for cases where only dashboards are needed. Redash comes into picture where individuals can query and check data at the same time.
Verified User
Anonymous
Read full review
Pros
Apache
No answers on this topic
Databricks
  • Great Query Editor with Autocomplete feature
  • Very easy to setup and quickly connect to variety of data sources
  • Quick Dashboards with Simple UI which can be easily shareable
Nitin kumar Singh | TrustRadius Reviewer
Nitin kumar Singh
Site Reliability Engineer
Read full review
Cons
Apache
No answers on this topic
Databricks
  • You need to have a good command over SQL to use Redash but if there could be some way where people can just pull data and do slice dice.
  • It would be nice to have an excel kind of filters when all data is fetched.
  • Some things like easy to customise the column names.
Rahul Jain | TrustRadius Reviewer
Rahul Jain
Software Engineer
Read full review
Alternatives Considered
Apache
No answers on this topic
Databricks
I was not a part of the decision-making team who decided to go with Redash.
Jeremias Padilla | TrustRadius Reviewer
Jeremias Padilla
Head of Operations
Read full review
Return on Investment
Apache
No answers on this topic
Databricks
  • Cost effective
  • One tool for multiple purpose
  • Easy access provision
Verified User
Anonymous
Read full review
ScreenShots