QLIK OPEN LAKEHOUSE

Build, Optimize and Scale Iceberg-based Lakehouses

Qlik Open Lakehouse, a new feature within Qlik Talend Cloud, simplifies real-time ingestion, optimization, and analytics for cost-effective, high-performance Iceberg lakehouses.

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Enterprise-Grade Iceberg Lakehouses

Qlik Open Lakehouse delivers seamless integration, automated optimization, and scalable data governance for your Iceberg lakehouses.

High-Throughput Ingestion into Apache Iceberg

Real-Time Data Ingestion

Enables batch and real-time ingestion from hundreds of sources, including databases, SaaS, SAP, mainframes, and S3 with just a few clicks. Qlik ensures low-latency, lossless replication while maintaining automatic schema evolution, allowing businesses to access real-time data for AI, analytics, and reporting without bottlenecks.

Operational data sources moving into Apache Iceberg and ending with analytical images

Continuous Adaptive Iceberg Optimization

AI-Driven Performance Boost

Reduces storage costs by 50% and improves query speed by 2.5x–5x without manual tuning. Qlik's Adaptive Iceberg Optimizer continuously monitors Iceberg tables, adjusting partitioning, compaction, indexing and clean ups dynamically to maintain peak performance at any scale.

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Unified End-to-End Lakehouse Management

Integrated Data Pipeline

Seamlessly manages ingestion, transformation, optimization and data quality in a single offering. Qlik Open Lakehouse provides key functionality within Qlik Talend Cloud to ingest and optimize structured and unstructured data.

Unified data integration with an end-to-end DI platform for Iceberg Lakehouses

Fully Managed and Optimized Open Lakehouse Built on Apache Iceberg

Qlik Talend Cloud driving efficiencies with open Lakehouse from data sources to query engines

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Drive up to 50% Efficiencies with Open Lakehouse

Adaptive Iceberg Optimizer

Automatic schema evolution for ingestion

Qlik Open Lakehouse adapts to schema changes continuously, integrating new data types and columns without manual effort or breaking pipelines.

Dynamic partitioning and indexing boost query speed

Qlik automatically partitions data based on usage, optimizing storage and speeding up queries. Indexing enables fast lookups while minimizing computational overhead.

Smart compaction reduces storage use and query delays

Qlik monitors and compacts small files automatically, cutting fragmentation and costs while ensuring queries run faster with minimal redundant data scanning.

Adaptive iceberg optimizer showing cost-based compaction, dynamic partitioning, and intelligent cleanups

Enterprise-Grade Interoperability

Seamlessly integrates with Iceberg catalogs

Qlik Open Lakehouse integrates with leading iceberg catalogs (AWS, Polaris, Snowflake Open Catalog), allowing users to discover and manage Iceberg tables across environments.

Supports leading query engines

Users can run queries on their preferred engines (Snowflake, Amazon Athena, Apache Spark, Trino, and more), avoiding lock-in while utilizing the right tools for the use-case.

Data warehouse mirroring

Automatically mirror data from Iceberg tables into your cloud data warehouse (such as Snowflake) without copying or duplicating the data.

Enterprise-grade interoperability with logos

What Qlik Open Lakehouse can do for you

Leverage real-time data for AI & analytics

Stream fresh data into Iceberg-based lakehouses in real-time, powering AI-driven insights, instant analytics, and rapid business decisions with minimal latency.

Lower costs by up to 50%

AI-powered optimizations remove redundant storage, improve query speeds by 5x, reduce tuning efforts freeing up valuable engineering resources, and lower costs by 50%.

Simplify data governance

A unified management layer ensures data accuracy, compliance, and accessibility, allowing seamless collaboration without data duplication or complexity.

UNLOCK THE POWER OF APACHE ICEBERG

Build Performant Open Lakehouses

Key Capabilities

Ultimate flexibility

Streamline Data Operations

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Build, Optimize, and Scale Your Iceberg Open Lakehouse

Real-time data ingestion for AI-driven business insights
Intelligent data optimization to drive 5x faster queries and lower costs
Interoperability with top catalogs & engines for ultimate flexibility

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Continuously Optimize Iceberg Tables — No Tuning Required

Flexible compute — Utilize Qlik or your data warehouse
No manual tuning or scripting — Qlik handles it automatically
Any engine – Use any engine compatible with Apache Iceberg

Showing streamlining operations from Iceberg via Qlik Talend Cloud

Streamline Data Operations with Qlik Talend Cloud

Ingest and transform real-time data from hundreds of sources
Automatically optimize Iceberg tables for faster query results
Maintain data integrity with built-in quality and governance tools

Qlik Acquires Upsolver to Deliver Low-Latency Ingestion and Optimization for Apache Iceberg

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Seamless Integration with Qlik Talend Cloud

Deploy a unified solution to ingest, transform, govern, and optimize Iceberg-based lakehouses.

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Unlock the Full Power of Your Lakehouse

High throughput ingestion into Iceberg
Optimized query performance for Iceberg tables
End-to-end data governance and security

KEY RESOURCE

The Value of Iceberg-Based Open Data Lakehouses

Learn why 75% of enterprises using open table formats feel confident in their ability to manage large-scale data, and how the right architecture can reduce complexity, enhance performance, and future-proof your analytics strategy.

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