• Menu
  • Skip to right header navigation
  • Skip to main content
  • Skip to primary sidebar

DigiBanker

Bringing you cutting-edge new technologies and disruptive financial innovations.

  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In
  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In

Qlik launches Open Lakehouse offering 2.5x–5x faster query performance and up to 50% lower infrastructure costs, while maintaining full compatibility with the most widely used analytics and machine learning engines

May 16, 2025 //  by Finnovate

Qlik announced the launch of Qlik Open Lakehouse, a fully managed Apache Iceberg solution built into Qlik Talend Cloud. Designed for enterprises under pressure to scale faster and spend less, Qlik Open Lakehouse delivers real-time ingestion, automated optimization, and multi-engine interoperability — without vendor lock-in or operational overhead. Qlik Open Lakehouse offers a new path: a fully managed lakehouse architecture powered by Apache Iceberg that delivers 2.5x–5x faster query performance and up to 50% lower infrastructure costs, while maintaining full compatibility with the most widely used analytics and machine learning engines. Qlik Open Lakehouse combines real-time ingestion, intelligent optimization, and true ecosystem interoperability in a single, fully managed platform: Real-time ingestion at enterprise scale; Intelligent Iceberg optimization, fully automated; Open by design, interoperable by default; Your compute, your cloud, your rules; One platform, end to end. As AI workloads demand faster access to broader, fresher datasets, open formats like Apache Iceberg are becoming the new foundation. Qlik Open Lakehouse responds to this shift by making it effortless to build and manage Iceberg-based architectures — without the need for custom code or pipeline babysitting. It also runs within the customer’s own AWS environment, ensuring data privacy, cost control, and full operational visibility.

Read Article

Category: Data Economy & Privacy, Innovation Topics

Previous Post: « Success of Pix and UPI is paving way for a three-stage framework for state-led fast payment systems that involves weighting pre-requisites, implementation and scaling and establishing engagement mechanisms and regulatory adjustments

Copyright © 2025 Finnovate Research · All Rights Reserved · Privacy Policy
Finnovate Research · Knyvett House · Watermans Business Park · The Causeway Staines · TW18 3BA · United Kingdom · About · Contact Us · Tel: +44-20-3070-0188

We use cookies to provide the best website experience for you. If you continue to use this site we will assume that you are happy with it.OkayPrivacy policy