Qlik vs Redash
On the evidence we track, Redash leads this comparison with a composite score of 55/100. 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.
Qlik
Cloud-based platform combining data integration, data quality capabilities, and AI-driven analytics to help organizations prepare data and generate insights for decision-making and AI applications.
Redash
LeaderA data analytics platform that enables teams to connect multiple data sources, create interactive dashboards and visualizations, and share insights across the organization.
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.
- Databricks
- Snowflake
Qlik
- Amazon Web Services
- Google Cloud
- Microsoft Azure
- Microsoft
- SAP
- Confluent
- Apache Kafka
- AWS
- Cloudera
Redash
Leader- Amazon Athena
- Amazon Aurora
- Amazon DynamoDB
- Amazon Redshift
- Azure Data Explorer
- Cassandra
- ClickHouse
- Druid
- Elasticsearch
- Google BigQuery
- Greenplum
- Hive
- Impala
- InfluxDB
- Microsoft SQL Server
- MongoDB
- MySQL
- Oracle
- PostgreSQL
- Presto
- Google Analytics
- Google Spreadsheets
- JIRA
- Python
- +5 more
Qlik or Redash: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.