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What is Qlik Talend Cloud?
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Overall experience with Qlik Talend Cloud
“Successful Real-Time Data Ingestion Depends on Data Patterns and Migration Complexity”
“Significant Learning Curve and Fragmented Integration Hinder Data Fabric Utility”
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Company Description
Qlik, after incorporating Talend, focuses on data integration, information quality, and analytics solutions. Its extensive cloud platform consolidates data from various cloud and hybrid environments, automates data-based workflows, and enriches understanding with artificial intelligence. The primary function of Qlik is to make data easily accessible and utilizable for enhanced, efficient business results. It reaches out to a broad base of users in numerous countries, aiming to provide potent data solutions for changing organizational requirements.
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Qlik Talend Cloud Likes & Dislikes
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.
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Qlik Talend Cloud Reviews and Ratings
- DATA SCIENTIST10B+ USDManufacturingReview Source
Successful Real-Time Data Ingestion Depends on Data Patterns and Migration Complexity
We use Qlik Sense daily to deliver dealer facing dashboards and Qlik Talend cloud to produce the Qlik compatible input files those dashboards consume. Qlik's integration of Upsolver technology and native support for Apache Iceberg promises low latency ingestion, automated iceberg optimization and direct Snowflake integration-potentially delivering real time, analytics ready data and significant storage/compute savings. However, the benefits in production depend heavily on the shape of your data and retention and query patterns. A careful TCO assessment is required before a full rollout. - Product Manager50M-1B USDSoftwareReview Source
Powerful Data Integration Platform Requires Skilled Teams and Strong Governance
Overall experience is positive. We use it as a core data integration and data quality platofrm supporting our Master Data Management ecosystem. It is powerful and flexible, especially for cloud-based data pipelines and data quality enforcement, but it requires strong governance and skilled team resources to use it to its full potential at scale. - DATA ANALYST<50M USDSoftwareReview Source
Powerful and scalable cloud-native data integration platform for modern analytics workloads
Our overall experience with Qlik Talend Cloud has been positive. The platform provides a robust and scalable data integration solution with strong capabilities for ETL, cloud data pipelines and connectivity across multiple data sources. The cloud native approach simplifies deployment and maintenance compared to traditional on-prem solutions. - DIRECTOR OF IT50M-1B USDConsumer GoodsReview Source
Qlik Talend Cloud Eases Integration but Requires Time for Complex Configuration
We are satisfied with Qlik Talend cloud, it enabled for us a seamless data integration and transformation, thanks to the tight integration with Qlik Cloud analytics. Some of the more advanced features require some technical expertise. - DATA AND ANALYTICS - SR. ANALYST1B-10B USDConsumer GoodsReview Source
Powerful cloud integration that scales with enterprise needs
I have been using Qlik for decades now and see it evolving and getting better with user experience. The platform provides a unified, cloud-native environment for data integration and governance that scales well across multiple data sources in large organizations where you live in a coagulated web services environment from different s/w and platforms. It has significantly impoved our ability to operationalize data pipelines and deliver trusted data to downstream analytics platforms.