With iVIEW Dataflow, migration to Qlik Cloud is seamless – and the solution also ensures transparent data flows, optimized cost control, and maximum security in ongoing operations.
Initial Situation
Companies face different challenges when it comes to Qlik Cloud:
- Migration: QlikView or Qlik Sense Client-Managed environments need to be moved to the cloud – securely, efficiently, and with optimal ROI.
- Operations & Orchestration: Existing Qlik Cloud infrastructures require reliable management and optimization of data flows to ensure long-term performance, governance, and cost control.
Challenge
The Qlik Direct Access Gateway provides a quick way to load data from on-premises sources into the cloud. For more complex requirements – such as pre-optimization, governance, capacity management, or process transparency – complementary approaches can be beneficial.
Companies need additional capabilities to:
- Curate, filter, anonymize, or compress data in advance
- Optimize storage usage and control cloud costs
- Transparently monitor load processes across hybrid, on-premises, and cloud environments
- Ensure stable, scalable operations in Qlik Cloud
Qlik Data Transfer – End of Life 2026
Until now, many organizations have relied on the Qlik Data Transfer Client, which enabled push-based uploads of data into Qlik Cloud. However, this tool will reach end of life in 2026. To avoid disruption, companies need a future-proof alternative. iVIEW Dataflow not only replaces the functionality of Qlik Data Transfer but also extends it with advanced features such as pre-data preparation, filtering, anonymization, optimization, and compression – ensuring a smooth transition and sustainable cloud operations.
Solution
iVIEW Dataflow provides a push-based platform that delivers clear added value for both migration and ongoing operations:
- Efficient cloud migration by adopting and preparing existing Qlik load chains
- Pre-data preparation: filtering, anonymizing, optimizing, and compressing before cloud transfer
- Continuous capacity monitoring (curated data) – optimizing storage usage and avoiding unnecessary costs
- Full transparency of load processes across hybrid, on-premises, and cloud environments
- Orchestration and automation of data flows for stable, high-performance cloud operations
- Measurably improved ROI through optimized cloud usage and increased efficiency
Result
With iVIEW Dataflow, companies benefit from seamless Qlik Cloud migration and optimized operations in existing cloud environments. They achieve full transparency, lower resource consumption, maximum security, and a sustainably higher ROI – whether for the initial rollout or ongoing operations of Qlik Cloud Analytics.
