The latest releases of Qlik Replicate and Qlik Enterprise Manager are now generally available. The May 2025 releases introduce a suite of powerful new features and enhancements designed to streamline your data integration further, improve performance, and expand connectivity across your enterprise data landscape. Here's a closer look at the key innovations and why they matter for your data strategy.

For May & June 2025, Connector Factory has released more connectors and enhancements for data integration, data analytics and application automation.

From trustworthy to AI-ready Data — how Qlik is advancing Trust Score to meet the needs of AI-driven enterprises 

Partition Evolution - Only Iceberg makes this possible

Partitioning is one of the most critical aspects of optimizing query performance in big data systems. Traditionally, partitioning strategies are set when a table is created, and altering them later is nearly impossible without costly data migration. Apache Iceberg, however, introduces partition evolution, enabling seamless changes to partitioning strategies without rewriting existing data. This blog explores how partition evolution in Apache Iceberg revolutionizes data partitioning.

Apache Iceberg is revolutionizing data lake architectures by providing a modern, open-table format that decouples storage from compute, enabling true data democratization. By leveraging Iceberg as your primary data lake/lakehouse, you eliminate vendor lock-in and gain full control over your data, ensuring cost-effective, scalable, and flexible data management.

We’re excited to introduce the ability to manage automations in shared spaces, enabling collaboration and execution through the context of a shared space. Teams can create, organize, and manage automations in shared spaces. This setup makes it easy to control who can run, duplicate, and view, offering flexibility and security. 

We’re excited to announce our new Learn page—designed to help you get the most out of Qlik. Whether you're just starting or looking to deepen your expertise, our platform offers outcome-based learning paths that guide you every step of the way. And it is integrated right into your Qlik Cloud Analytics experience, so learning is seamless and always at your fingertips.

When organizations began using data lakes about a decade ago, many discovered a significant issue. Although the technology excelled at storing large volumes of raw data, it lacked the ability for business teams to access and consume the data easily. This blog focuses on the evolution of Podium Data into Qlik Talend Cloud. 

This blog explores three ways Qlik Talend Cloud enhances data quality for Databricks assets, helping customers maximize the value of data for their AI initiatives. 

As part of the continued evolution of Qlik Talend Cloud, we’re excited to introduce a powerful new feature to help accelerate and standardize API contract creation.

You can now use a built-in AI assistant in the graphical API designer to generate complex API contracts—simply by describing the desired behavior in natural language. This AI-driven creation method offers a faster, more intuitive way to build and iterate on your APIs, especially during early design phases.

This enhancement makes it easier than ever to go from ideation to implementation while ensuring consistency and best practices across your API landscape.