Apache Superset vs Redash
On the evidence we track, Apache Superset leads this comparison with a composite score of 60/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for bi software. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Apache Superset
LeaderAn open-source business intelligence platform that enables teams to create dashboards, charts, and alerts to visualize and analyze data across multiple database and data warehouse connections.
Redash
An open-source data visualization platform that lets teams query data from various databases and APIs using SQL, create interactive dashboards with multiple visualization types, and share data insights across the organization. Includes collaboration features like schema browsing, query snippets, caching, and alerts.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Presto
Apache Superset
Leader- Trino
- Athena
Redash
- Amazon Athena
- Amazon Aurora
- Amazon DynamoDB
- Amazon Redshift
- Azure Data Explorer
- Cassandra
- ClickHouse
- Databricks
- Druid
- Elasticsearch
- Google BigQuery
- Greenplum
- Hive
- Impala
- InfluxDB
- Microsoft SQL Server
- MongoDB
- MySQL
- Oracle
- PostgreSQL
- Snowflake
- Google Analytics
- Google Spreadsheets
- JIRA
- +6 more
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.