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Overview

Product Information on Qlik Talend Cloud

Updated 13th October 2025

What is Qlik Talend Cloud?

Qlik Talend Cloud is a software designed to facilitate data integration, transformation, and governance across hybrid and multi-cloud environments. The software provides tools for connecting, cleansing, and synchronizing data from disparate sources to enable seamless data movement and preparation. Its functionalities include data pipeline automation, real-time data processing, and collaborative data stewardship, supporting organizations in delivering trusted data assets for analytics and operational workflows. Qlik Talend Cloud addresses the business problem of managing complex data landscapes by offering scalable capabilities to unify, standardize, and secure data, enabling more reliable insights and decision-making across business processes.

Qlik Talend Cloud Pricing

Qlik Talend Cloud software uses a subscription-based pricing model with tiered options based on usage and data integration needs Users can choose from different plans that align with the volume of data processed and embedded features such as data quality and governance Additional charges may apply for advanced capabilities or add-on modules The pricing is typically structured per user or per capacity unit within selected plan limits

Overall experience with Qlik Talend Cloud

DATA SCIENTIST
10B - 30B USD, Manufacturing
FAVORABLE

“Successful Real-Time Data Ingestion Depends on Data Patterns and Migration Complexity”

5.0
Nov 11, 2025
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.
Vp, It
30B + USD, Banking
CRITICAL

“Effective performance marred by inconsistency and limited pipeline sharing across teams”

3.0
Apr 9, 2026
The Talend data integration platform, whilst powerful and useful for batch and bulk processing, is often difficult to use, develop, and understand. When jobs work, they work well and performance is good. When they fail, however, the causes are often random and difficult to diagnose and fix. These inconsistencies mean you may end up spending more time fixing failures than working on new features.

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Logo of Qlik Talend Cloud

Qlik Talend Cloud

byQlik
in
4.3
Market Presence: Data Integration Tools, Augmented Data Quality Solutions

About Company

Company Description

Updated 27th June 2025

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

Updated 27th June 2025
Company type
Private
Year Founded
1993
Head office location
King of Prussia, United States
Number of employees
1001 - 5000
Website
http://www.qlik.com/

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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

Like

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.

Like

When pipelines work, they work well. The current integration with Qlik Cloud is also effective and gives a front-to-back data integration and analytics platform all in one place.

Like

1. Strong support for connecting to multiple data sources including APIs, databases and cloud services. 2. Pre-built components and connectors that speed up development and deployment. 3. Monitoring and scheduling capabilities for managing data pipelines.

Dislike

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.

Dislike

Failures can be sporadic, inconsistent, and often non-sensical, with error messages not helping to diagnose either. Visualisation is difficult and the locked-in nature of the platform and licensing means that pipelines cannot easily be shared across teams. Upgrading of on-prem infrastructure and versions is also a pain point leading to inconsistent development and runtime environments and difficulties with fixing issues and enabling further development.

Dislike

1. When handling very large datasets or complex pipelines, there can be performance degradation. 2. Troubleshooting and debugging pipelines is somewhat complicated and not straightforward. 3. In certain workflows, UI seems to be little slow or less responnsive.

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Qlik Talend Cloud Reviews and Ratings

Filter Reviews
Sort By:
Most helpful
Last 12 Months
Star Rating
Reviewer Type
Reviewer's Company Size
Reviewer's Industry
Reviewer's Region
Reviewer's Job Function
  • DATA SCIENTIST
    10B+ USD
    Manufacturing
    Review Source

    Successful Real-Time Data Ingestion Depends on Data Patterns and Migration Complexity

    5.0
    Nov 11, 2025
    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.
  • DevOps Engineer
    10B+ USD
    Telecommunication
    Review Source

    Efficient Workflow Integration Amid Occasional Performance And Debugging Difficulties

    4.0
    Mar 25, 2026
    My overall experience has been positive. Qlik Talent Cloud helps streamline workflows across multiple data sources and also the cloud-native approach makes it easier to scale and manage jobs without any worry about infrastructure. However, there are occasional performance issues with large datasets, and debugging complex pipelines can be time consuming sometimes. Overall, it is a reliable and capable solution for modern data integration needs.
  • Vp, It
    10B+ USD
    Banking
    Review Source

    Effective performance marred by inconsistency and limited pipeline sharing across teams

    3.0
    Apr 9, 2026
    The Talend data integration platform, whilst powerful and useful for batch and bulk processing, is often difficult to use, develop, and understand. When jobs work, they work well and performance is good. When they fail, however, the causes are often random and difficult to diagnose and fix. These inconsistencies mean you may end up spending more time fixing failures than working on new features.
  • Product Manager
    50M-1B USD
    Software
    Review Source

    Powerful Data Integration Platform Requires Skilled Teams and Strong Governance

    4.0
    Jan 23, 2026
    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 USD
    Software
    Review Source

    Powerful and scalable cloud-native data integration platform for modern analytics workloads

    5.0
    Jan 21, 2026
    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.
...
Showing Result 1-5 of 576

4.3

(547 Ratings)

Rating Distribution

5 Star
41%
4 Star
48%
3 Star
9%
2 Star
1%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.3

Planning & Transition

4.4

Delivery & Execution

4.4

Integration & Deployment

4.4

Service & Support

4.3

Product Capabilities

4.4