Looker vs Redash
No clear leader: Redash (51.2) and Looker (47.1) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
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.
Looker
Looker transforms static dashboards into governed, agentic analytics experiences. It combines natural language interactions powered by Gemini with a semantic layer to enable organizations to explore data conversationally and automate business decisions through AI agents.
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.
Looker
Pricing not documented yet.
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.
- Snowflake
Looker
- Snowflake
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
- Presto
- 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.