BI your teams trust. Data they don't question.

Starburst gives Qlik a governed, federated data foundation. So dashboards pull from a single source of truth across every data system, with policy-enforced access, no copies, and consistent metric definitions everywhere.
Qlik

How it works

Qlik on top. Starburst underneath. Trust throughout.

Starburst is the governed semantic and data federation layer. Qlik is the analytics surface. Together they eliminate the most common cause of BI mistrust: inconsistent metrics from fragmented sources.

Snowflake
Amazon S3 (Apache Iceberg)
Postgres
federated via Starburst
Starburst

Federate, govern, and define

governed data products · certified metrics
revenue_metrics v2
customer_360 v2
JDBC / REST connection

Qlik: dashboards, sheets, and analytics

One definition. Consistent across every Qlik app.

What you get

BI your teams don't have to double-check.

One metric definition, everywhere

Define "revenue" once in a Starburst Data Product. Every Qlik dashboard, sheet, and app uses the same calculation automatically.

50+ sources, one connection

Qlik connects to Starburst once and gets federated access to every data source, without separate connectors for each system.

Access policy built in

Starburst RBAC and column masking apply at query time. Qlik users only see the data their role allows, enforced at the engine.

Consistent metrics

Same answer in Qlik, Python, or AIDA. Always.

When metric definitions live in a Starburst Data Product, not in each individual Qlik app, every consumer computes the same result. No more "which dashboard is right?" conversations.

  • Metric definitions in Starburst: versioned, tested, and certified
  • Qlik consumes the Data Product via JDBC: same definition as every other tool
  • Breaking changes require a version bump and review: no silent surprises
ToolBefore StarburstAfter
Qlik Finance$4.2M$4.4M ✓
Qlik Sales$4.6M$4.4M ✓
Python notebook$3.9M$4.4M ✓
AIDAN/A$4.4M ✓dp:revenue_metrics v2

Illustrative example: "Monthly Revenue" reconciliation before and after adopting a single governed Data Product.

Data Federation

One connection. Not 12 separate connectors.

Instead of managing a Snowflake connector, a Postgres connector, an Amazon S3 connector, and a Kafka connector inside Qlik, connect once to Starburst and get federated access to all of them through a single, governed interface.

  • Single JDBC connection to Starburst covers 50+ underlying sources
  • Starburst resolves cross-source JOINs. Qlik sees clean tables.
  • Starburst materialized views serve Qlik with sub-second response

Starburst sources available to Qlik

SnowflakeAmazon S3 / Apache IcebergPostgresRedisDatabricksMySQLOracleBigQuery+ 40 more

See what changes when intelligence reaches all your data.

Start free in minutes, or talk with a Starburst expert.