The Iceberg Data Lakehouse Stack: Choosing the Right Building Blocks

Build smarter. Scale open. Master the Iceberg stack.

Not all lakehouses are created equal. If you’re building on Apache Iceberg, the right architecture makes all the difference — cost, complexity, performance, and future-proofing depend upon the stack you choose.

This whitepaper breaks down the six essential components you must get right to win in the open lakehouse game.

What’s inside?

The 6 Must-Have Components of Every Iceberg Lakehouse:

• Data Sources

• Ingestion Tools

• Transformation & ETL

• Iceberg Tables / Lakehouse Management

• Data Catalogs

• Analytics & Query Engines

Your lakehouse, your rules — but smarter.

What you’ll learn:

• Why Apache Iceberg is the format of choice for scalable, open data architectures

• Common traps of overengineering — and how to avoid them

• Real talk on DIY vs. managed solutions (and where the real cost lies)

• How to balance interoperability with simplicity

• Key tradeoffs and decision points across every layer of the stack

• Why Qlik Open Lakehouse nails ingestion, optimization, and interoperability in one clean move

Download the whitepaper now and start building your Iceberg-based lakehouse — faster, cleaner, and with fewer regrets.