Informatica Data Engineering Streaming [EOL] vs Qlik Talend Cloud comparison

Informatica and Qlik are both solutions in the Streaming Analytics category. Additionally, 100% of Informatica users are willing to recommend the solution, compared to 88% of Qlik users who would recommend it.

Informatica Data Engineerin...

Read 1 Informatica Data Engineering Streaming [EOL] review

100% willing to recommend

Qlik Talend Cloud

Read 55 Qlik Talend Cloud reviews

8,555 Views
684 Comparison Views

88% willing to recommend

Informatica Data Engineerin...

Qlik Talend Cloud

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Executive SummaryUpdated on Mar 15, 2026

Qlik Talend Cloud and Informatica Data Engineering Streaming [EOL] compete in data integration and management. Qlik Talend Cloud holds an advantage in pricing and support, while Informatica is known for its robust features.

Features: Qlik Talend Cloud offers seamless integration with cloud services, robust data transformation capabilities, and scalability, focusing on cloud adaptability. Informatica has strong real-time analytics and stream processing with advanced transformation capabilities, targeting complex data architectures. A key difference is Qlik's cloud-centric strategy versus Informatica's emphasis on real-time processing.

Ease of Deployment and Customer Service: Qlik Talend Cloud ensures straightforward deployment with a focus on cloud compatibility, simplifying setup with comprehensive customer service for cloud functionalities. Informatica Data Engineering Streaming [EOL] involves more complex deployment due to on-premises integrations, but offers extensive support for intricate setups.

Pricing and ROI: Qlik Talend Cloud is generally more cost-effective with clear ROI in cloud environments, attributed to lower setup costs. Informatica Data Engineering Streaming [EOL] requires a higher initial investment but delivers significant ROI for enterprises needing advanced real-time data processing, illustrating Qlik's cost-effectiveness for cloud solutions versus Informatica's long-term return for complex data flows.

To learn more, read our detailed Streaming Analytics Report (Updated: February 2026).

Buyer's Guide

Streaming Analytics

February 2026

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Helped 884,266 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Informatica Data Engineerin...

Average Rating

8.0

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Qlik Talend Cloud

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (5th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (8th), Integration Platform as a Service (iPaaS) (6th)

Featured Reviews

Reviewer43443

BI Practice Lead at a tech services company with 51-200 employees

Helps with real-time data processing and improves decision-making overall

It improves decision-making overall for the company. Informatica is usually the tool for setting up the data, streaming the data into your data warehouse from your source, transforming the data, and preparing and modeling it into some desired format. It improves the performance. You need to know how to use it and how to implement it, but it improves performance.

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Herivao Jus Winny

IT Consultant at a tech services company with 201-500 employees

Has automated recurring data flows and improved accuracy in reporting

The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It improves the performance."

"The file fetch process is impeccable."

"I like the way that you can use the context variables, and how you can work those context variables to give you values and settings for every development environment, such as PROD, TEST, and DEV."

"Qlik Talend Cloud has had a positive impact on my organization by automating data integration processes, reducing manual errors, and ensuring reliable and up-to-date data for reports and business decisions."

"I like everything about this product, but the biggest thing is the ease of use."

"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."

"Talend Data Integration has had a measurable impact on our organization by automating daily data loading processes, reducing manual effort by around three or four hours per day, improving data accuracy with error rates dropping by more than 70%, and enabling reporting teams to receive fresh data at least 50% faster for earlier and more confident decision-making."

"The most valuable feature is the data loading and scripting language"

"I'm very passionate about this solution because if you look at any other tool that costs around $200 - $300,000, like Delphix which costs you a million dollars, Talend is very cheap and is almost is at par with what others can do. There is one thing which Delphix does which Talend cannot do, but overall, I would say apart from that, if you're looking for a solution, you should give it a try."

More Qlik Talend Cloud pros

Cons

"Skill requirement is required. There is a learning curve."

"We'd like to see more connectors it the future."

"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."

"Processing large volumes of data sometimes consumes a lot of resources."

"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."

"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."

"SQL for displaying underlying data in non-match results does not work."

"If I am designing something in Talend Data Integration, I cannot backtrack in the flow. For example, if I read data from a source and transform it before applying complex aggregation in the third step, I cannot join this data with the second step."

"Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license."

More Qlik Talend Cloud cons

Pricing and Cost Advice

Information not available

"The product pricing is considered very good, especially compared to other data integration tools in the market."

"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."

"The licensing cost for the Talend MDM Platform is paid yearly, but I'm unable to give you the figure. I would rate its price as four out of five because it's on the cheaper side. I'm not aware of any extra costs in addition to the standard licensing fees for the Talend MDM Platform."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

"It's a subscription-based platform, we renew it every year."

"The licensing cost is about 40,000 Euros a year."

"The price of the Talend Data Management Platform is reasonable. The other competing solutions are priced high. Gartner Magic Quadrant identified other solutions, such as Informatica, that are far more expensive."

"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."

More Qlik Talend Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

27%

Computer Software Company

Retailer

Educational Organization

Financial Services Firm

13%

Computer Software Company

10%

Comms Service Provider

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	11
Large Enterprise	20

Questions from the Community

What needs improvement with Informatica Data Engineering Streaming?

Skill requirement is required. There is a learning curve.

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What is your primary use case for Informatica Data Engineering Streaming?

We implement business intelligence solutions, including data warehousing tools, data integration to load data into warehouses, and then creating reports.

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What advice do you have for others considering Informatica Data Engineering Streaming?

Overall, I would rate the solution an eight out of ten. Usually, Informatica is for big clients because of its pricing, and it also requires some skill sets. It requires investment into a proper da...

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What needs improvement with Talend Data Quality?

I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...

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What is your primary use case for Talend Data Quality?

It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...

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What advice do you have for others considering Talend Data Quality?

Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details abou...

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Product Reports

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Streaming Analytics

February 2026

Informatica Data Engineering Streaming [EOL] report

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Buyer's Guide

Qlik Talend Cloud

February 2026

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Also Known As

Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming

Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance

Overview

Informatica Data Engineering Streaming [EOL] is a real-time streaming data processing platform that enables organizations to efficiently leverage continuous data insights from large volumes of diverse data sources.

Informatica Data Engineering Streaming [EOL] offers advanced capabilities for processing streaming data, enabling businesses to harness and analyze information as it's generated. It supports scalability and provides high-performance processing essential for data-driven decision-making. This platform empowers dynamic adaptation to ever-evolving data needs, ensuring timely insights.

What are the key features of Informatica Data Engineering Streaming [EOL]?

Scalability: Designed to handle large data volumes with optimized performance.
Seamless Integration: Connects effortlessly with multiple data sources and destinations.
Real-Time Processing: Enables immediate analysis of streaming data as it arrives.
Data Connectivity: Supports a wide range of connectors for enhanced flexibility.
Fault Tolerance: Ensures consistent operation despite hardware failures.

What benefits should users consider in reviews?

Enhanced Efficiency: Streamlines data processing workflows for faster results.
Cost Savings: Reduces infrastructure and operational costs by optimizing resources.
Improved Decision-Making: Provides timely insights for informed business strategies.
Increased Agility: Adapts quickly to changes in data streams and analytics requirements.

In specific industries, Informatica Data Engineering Streaming [EOL] is implemented to transform manufacturing processes by enabling real-time monitoring and predictive maintenance. In finance, it supports fraud detection and transaction processing by delivering real-time data insights. Retail businesses utilize it to enhance customer experience through personalized recommendations and inventory management.

Informatica

Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.

Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.

What are the key features?

Seamless Real-Time Data Access: Ensures that users can access the latest information across systems without delays for better decision-making.
Java Integration: Facilitates smooth incorporation of Java components into workflows, broadening development options.
Custom Code Development: Offers flexibility to develop tailored solutions to meet specific integration scenarios.
Vast Connectors: Enhances connectivity between multiple platforms, supporting comprehensive data integration strategies.
Central Repository: Allows for uniform metadata access across departments, promoting cohesive data management practices.
Automation and Monitoring: Streamlines workflows with advanced automation and monitoring, reducing manual intervention and errors.

What benefits and ROI should users evaluate?

Improved Data Quality: Tools for data matching and error handling ensure high-quality, reliable data for analytics and reporting.
Efficient Workflow Streamlining: Drag-and-drop interfaces and automation features simplify complex workflows, enhancing operational efficiency.
Enhanced Business Insights: By integrating diverse data sources, businesses can derive deeper insights and ensure compliance through better data management.
Cost Management: Although some users find licensing expensive, comprehensive feature sets aimed at improving data processes can justify costs.
Community Support: Users benefit from active community forums that provide assistance, although technical support also necessitates enhancements.

In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.

Qlik

Sample Customers

Jewelry TV

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Microsoft and others in Streaming Analytics. Updated: February 2026.

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