Name: Qlik Talend Cloud
Rating: 4.3 (559 reviews)

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.

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.

Associate Engineer Trainee

10B - 30B USD, Telecommunication

CRITICAL

“Pricing Complexity and Steep Learning Curve Detract From Otherwise Flexible Solution”

3.0

Apr 1, 2026

It's a functional platform that gets the job done, but it definitely feels like a "jack of all trades, master of none" situation. On one hand, it's great to have everything in the cloud without managing servers, and the security features are robust enough for our compliance needs. On the other hand, the transition from legacy on-prem solutions to this cloud version hasn't been as seamless as id hoped for. We often find ourselves stuck in the middle with Talend because while, yes, it's more powerful than a basic ingestion tool, it's also more restrictive than a pure code environment. It's a solid 3-star choice for a mid to large company that wants a "safe" enterprise bet, but it lacks the "wow" factor or the agility of some newer, leaner competitors.

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

Company type

Private

Year Founded

1993

Head office location

King of Prussia, United States

Number of employees

1001 - 5000

Website

http://www.qlik.com/

Do You Manage Peer Insights at Qlik?

Access Vendor Portal to update and manage your profile.

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

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.

If I had to highlight three specific areas where the platform delivers the most value, the Integrated Data Stewardship module is a clear standout for operational efficiency. It provides a structured environment where data exceptions can be routed directly to business owners for manual correction, which keeps the technical team from getting bogged down in routine data cleaning. Additionally, the Automated Data Lineage visualization is a significant asset for governance since it offers a functional, end-to-end view of data flows that makes responding to audit requests or tracing source-to-target transformations much more manageable. Finally, the API first extensibility provides the necessary laterality of flexibility that balances out the low code interface. Being able to interact with the platform programmatically allows us to automate repetitive administrative tasks and better align the tool with our existing DevOps workflows, providing a level of control that is often missing in purely visual integration platforms.

1. drag and drop design is one of the biggest strengths which makes it easy to build data integration jobs and even complex transformations feel easy due to this. 2. Talend Cloud connects easily to databases, cloud, platforms, APIs, and file systems without much custom effort. Having so many ready-to-use connectors saves time and reduces the need for manual scripting. 3. I also really like how jobs can be deployed, scheduled and monitored directly in the cloud. There is a good execution log and error detail functionality which helps with quick troubleshooting.

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.

While the platform is functional for standard integration needs, there are three specific areas where it consistently falls short of expectations. First, the pricing transparency and credit consumption model can be quite difficult to manage since it isn't always clear how much compute resources a specific complex job will draw until after the fact, which makes proactive budgeting and cost scaling a challenge. Second, the learning curve for advanced transformations is steeper than the low-code marketing suggests. While simple tasks are intuitive, moving into more complex logic often requires a specific understanding of Talend's proprietary components and workaround patterns that aren't immediately obvious to new users. Finally, the native version control and CI/CD integration lacks the seamlessness found in modern code centric development tools. Managing branches and promoting code through different environments often feels like a manual, fragmented process, which can introduce friction and slow down the development lifecycle for larger, collaborative teams.

1. The main challenge is the learning curve, especially for users like me who are new to data integration or Talend's ecosystem. 2. troubleshooting can sometimes be time consuming. They can be made easier to understand and summarizing what is exactly wrong with the help of AI. 3. Sometimes some complex job takes time to run in talend studio but no issue for small jobs.

Top Qlik Talend Cloud Alternatives

Peer Discussions

Qlik Talend Cloud Reviews and Ratings

Recommended Gartner Insights

10B+ USD

Telecommunication

Review Source

Pricing Complexity and Steep Learning Curve Detract From Otherwise Flexible Solution

Manufacturing

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

Data Analyst

1B-10B USD

Finance (non-banking)

Powerful Cloud-Based easy to use Data Integration tool

4.0

Apr 15, 2026

The product is good overall and is easy to use with all the components etc. This product uses java in the backend which allows us to configure the code of the components. The platform offers strong data integration and DQ capabilities with a good UI. While it is a little difficult to learn the advanced components, overall, the product is great.

IT Services

Strong enterprise-grade data integration, best with upfront planning

Apr 30, 2026

It has been a positive, particularly for cloud-based data integration and data quality management. The platform provides strong connectivity options, flexible pipeline design, and robust data quality features that help standardize and govern data across systems.

DevOps Engineer

Efficient Workflow Integration Amid Occasional Performance And Debugging Difficulties

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.