Qlik Talend Cloud

Real time ingestion into Iceberg: Continuous CDC into Iceberg tables removes many batch windows and lets dashboards reflect near real time state when you need it. This is materially helpful for triaging regressions and tracking releases. Automated Iceberg optimization: Automated compaction and an adaptive optimizer can reduce storage and speed queries vs. manual tuning - valuable for cost control at scale. Multi-engine Flexibility for AI: The ability to keep Iceberg as an open format and let Snowflake, Athena, Spark etc. querying the same optimized tables is strategically useful for mixed use cases.

It definitely works well as a metadata cataloging and governance tool. Junior engineers like the GUI pipeline design.

Strong data quality and profiling capabilities. Cloud-native integration at scale Metadata driven, reusable pipelines and a wide range of connectors for databases, cloud platforms and enterprise applications.

Vendor claims need real world benchmarking: Qlik's public numbers are plausible but highly dependent on your data layout, partitions, compaction cadence and query patterns. Migration complexity from existing ETL: Porting complex transformations and business logic into CDC-Iceberg flows required mapping, revalidation and often re-design to avoid long run times. Cost and operational tradeoffs: Savings in warehouse compute can be offset by cloud storage, compaction compute, frequent small CDC writes or snowflake compute for in-snowflake quality pushes. Regional/tenant setup and security considerations: Tenant/region matching, token configs and account permissions took coordination in our rollout-expect cross team coordination and a security review.

1. It doesn't federate to external systems very well. Unless your intention is to pull everything into Talend and do everything there, you're locked out of a lot of the utility. 2. UI feels weirdly dated in some places. Most are pretty modern and thought-out. Some look like they were last updated in the late 1990's. 3. The requirement in some cases to use their proprietary data format is worrying. Been burned by vendor lock-in before and have no interest in using their data format if we can help it.

There is a steep learning curve for new users. Some parts of the UI feel fragmented between cloud and studio components, and error handling, logging and job level observability can be limited and often require additional setup.