Lightdash vs Qlik
On the evidence we track, Lightdash 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.
Lightdash
LeaderA BI platform that anchors analytics in dbt-defined metrics and provides a governed semantic layer for organizations. Teams define metrics, joins, and business logic once, then access the data through dashboards, AI-powered Q&A, embedded analytics, or custom data applications, all with consistent governance and user permissions.
Qlik
Qlik offers data integration, data quality, and analytics solutions that help organizations prepare trusted data and derive actionable insights using AI. The platform supports modern cloud deployments alongside on-premises options, with automated workflows and intelligent data processing.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Lightdash
LeaderOpen source free tier, Cloud Pro at $3,000/month (unlimited users), Enterprise custom. No per-seat pricing.
- Open SourceFree
- Unlimited seats
- Data explorer and report builder
- Native dbt integration
- Scheduled deliveries
- Alerting
- +11 more
- Cloud Pro$3,000/month flat rate, unlimited users and visualizations
- Unlimited users
- Unlimited visualizations
- Native dbt integration with open semantic layer
- Scheduled reports and alerting
- Dashboards as code
- +11 more
- EnterpriseContact sales
- All Cloud Pro features, plus:
- Cloud or on-premises deployment
- SAML 2.0 and SCIM 2.0 provisioning
- Advanced user management with custom roles
- SOC 2 Type II compliance
- +9 more
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
Lightdash
Leader- BigQuery
- Snowflake
- Redshift
- Postgres
- Trino
- ClickHouse
- Athena
- DuckDB
- GitHub
- GitLab
- Azure DevOps
- Bitbucket
- Slack
- Microsoft Teams
- Google Sheets
- dbt
- Rollstack
- MotherDuck
Qlik
- Amazon Web Services
- Google Cloud
- Microsoft Azure
- Microsoft
- SAP
- Confluent
- Apache Kafka
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.