Overview
Product Information on Qlik Talend Cloud
What is Qlik Talend Cloud?
Qlik Talend Cloud Pricing
Overall experience with Qlik Talend Cloud
“Plataforma unifica fuentes de datos pero enfrenta retos con soporte de conectores”
“Significant Learning Curve and Fragmented Integration Hinder Data Fabric Utility”
About Company
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.
Company Details
Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
User Sentiment About Qlik Talend Cloud
Reviewer Insights for: Qlik Talend Cloud
Deciding Factors: Qlik Talend Cloud Vs. Market Average
Performance of Qlik Talend Cloud Across Market Features
Qlik Talend Cloud Likes & Dislikes
Acerca del producto: * Facilidad para manejo de proyectos de replicación, dividiendo fácilmente como en otros productos de la familia Qlik en tres el proceso del tratamiento de los datos: Fuentes, procesamientos y destinos. * Claridad en el mapa de crecimiento y liberaciones de los productos, compartiendo documentación y videos claros de los nuevos añadidos en la plataforma. * Facilidad en la construcción de reglas en el proceso de ELT o ETL, logrando hacer en 4 o 5 sencillos pasos la creación de reglas sin codificar.
Read Full ReviewIt definitely works well as a metadata cataloging and governance tool. Junior engineers like the GUI pipeline design.
Read Full ReviewReal 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.
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Acerca del producto: * El producto no tiene claridad del soporte de los conectores, donde se pueda revisar lo sucedido con los conectores que ya están liberados, para entender itinerancia, actualizaciones pendientes, problemas con el equipo o marca con la que se trabaja. * La plataforma aún tiene una barrera al pasar a otros idiomas que no sean inglés, complicando mucho la comprensión de procesos y objetivos de los procesos más complejos y detallados que ofrece como estrategias de aterrizaje y actualización de datos. * Algunos conectores desaparecen de la galería que se ofrece sin explicación o comunicación, lo que deja mal paradas estrategias centradas en esto por medio de la plataforma.
Read Full Review1. 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.
Read Full ReviewVendor 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.
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Peer Discussions
Qlik Talend Cloud Reviews and Ratings
- DATA ANALYTICS MANAGER50M-1B USDRetailReview Source
Plataforma unifica fuentes de datos pero enfrenta retos con soporte de conectores
La facilidad de tener en un hub unificado varias fuentes de datos sin tener que pagar por cada conector, sino por la capacidad de manejo de datos en procesamiento, rompe muchos retos como la codificación con una interfaz de arrastrar y soltar, aunque con retos en la compresión de la plataforma en procesos por el idioma español. - 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. - SENIOR DATA ARCHITECT50M-1B USDBankingReview Source
Significant Learning Curve and Fragmented Integration Hinder Data Fabric Utility
While the UI is very serviceable, it's got a lot of learning curve and in some places feels a bit dated. And while the service promises a unified data fabric, it's pretty fragmented if you're not building something from scratch on their system. Integrating legacy systems seamlessly is a hassle. - 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.