Qlik Talend Cloud vs SAS Event Stream Processing comparison

Why PeerSpot?

Qlik and SAS are both solutions in the Streaming Analytics category. Qlik is ranked #6 with an average rating of 7.8, while SAS is ranked #29. Qlik holds a 3.4% mindshare in SA, compared to SAS’s 1.1% mindshare. Additionally, 89% of Qlik users are willing to recommend the solution, compared to 100% of SAS users who would recommend it.

Qlik Talend Cloud

Read 56 Qlik Talend Cloud reviews

19,499 Views
1,755 Comparison Views

89% willing to recommend

SAS Event Stream Processing

Read 1 SAS Event Stream Processing review

688 Views
681 Comparison Views

100% willing to recommend

Qlik Talend Cloud

SAS Event Stream Processing

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 22, 2026

Qlik Talend Cloud and SAS Event Stream Processing are contenders in data integration and real-time analytics. Qlik Talend Cloud stands out with ease of deployment and flexibility, while SAS Event Stream Processing excels with advanced analytics.

Features: Qlik Talend Cloud offers comprehensive data integration, scalability for diverse workloads, and adaptability. SAS Event Stream Processing provides sophisticated real-time analytics, powerful event processing, and immediate insights for businesses.

Ease of Deployment and Customer Service: Qlik Talend Cloud ensures straightforward deployment with comprehensive support. SAS Event Stream Processing, despite requiring complex setup, offers detailed guidance and robust support to balance its configuration needs.

Pricing and ROI: Qlik Talend Cloud delivers competitive pricing and high ROI through scalable solutions. SAS Event Stream Processing, though with higher setup costs, offers valuable ROI due to its exceptional real-time processing features.

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

Buyer's Guide

Streaming Analytics

September 2026

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Helped 917,433 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

Qlik Talend Cloud

Ranking in Streaming Analytics

6th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (8th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (2nd), Cloud Data Integration (7th), Data Governance (9th), Cloud Master Data Management (MDM) (3rd), Integration Platform as a Service (iPaaS) (7th)

SAS Event Stream Processing

Ranking in Streaming Analytics

29th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2026, in the Streaming Analytics category, the mindshare of Qlik Talend Cloud is 3.4%, up from 1.2% compared to the previous year. The mindshare of SAS Event Stream Processing is 1.1%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	3.4%
SAS Event Stream Processing	1.1%
Other	95.5%

Streaming Analytics

Featured Reviews

Henrique Fsantos

Data & Analytics Engineer at PicPay

Automated data pipelines have improved analytics workflows and provide trusted reporting data

The best features of Qlik Talend Cloud are its connectors to many systems, databases, APIs, and files, including both SQL and NoSQL databases. The scheduling feature allows me to run jobs automatically in the cloud, and the built-in data quality tools help clean and check data. The reusable components enable me to reuse jobs and parts, which saves time, making it easy to build good data pipelines. The feature that has made the biggest difference for me in Qlik Talend Cloud is the scheduling and automation, which helps me run ETL jobs automatically without manual work. This saves time, reduces errors, and makes the pipelines more stable. In my daily work, I can trust that the data is updated on time and ready for reports and analytics. 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. This has improved operational stability, productivity, and trust in the data. Since using Qlik Talend Cloud, we have reduced manual work, resulting in approximately 20% to 30% time savings in data load processes. We have also seen a reduction in operational errors, mainly due to automation and the data quality checks, and a clear improvement in data reliability since the pipelines became more standardized and monitored.

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Roi Jason Buela

Lead Technical Consultant at Thakral One

A solution with useful windowing features and great for operations and marketing

The persistence could be better. Although ESP is designed for in-memory processing, it would be better if the solution is enhanced or improved on the persistence of the data that is kept in the memory. For example, if one server goes down and the information is stored in the memory, it is lost. Therefore, the persistence needs to be improved so that if there are more cases where the server is down, the information and data can still be intact.

Read full review

Quotes from Members

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

Pros

"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."

"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."

"Talend is a good product and I recommend it."

"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."

"We are still in the process of evaluating them, but I love the way things look in Talend, and I'm all for Talend."

"You move data from one source to another without problem and apply some business rules in data."

"I really like the fact that there are no out-of-the-box solutions regarding the development of jobs. Other vendors may have modules which cleanse your addresses. In Talend, you have the freedom to completely develop the process yourself. This can be tricky, but it also makes it fun."

"The tool was mainly used for ETL processes to apply governance rules on data."

More Qlik Talend Cloud pros

"The solution is beneficial on an enterprise level."

Cons

"Sometimes when working with larger datasets (possibly due to insufficient memory)."

"The sales and market department could improve the Talend Data Management Platform."

"Lots of errors and system crashes during installation and IMHO we didn’t receive good enough technical support and guidance from Talend to solve the issues."

"With M rows, it runs too slowly and has memory issues."

"Sometimes there are bugs which are unidentified and we have to follow-up with the Talend team to resolve them. In a critical situation, it takes time for them to update patches."

"Qlik Talend Cloud has impacted my organization by increasing the license cost, leading many companies to decide to decommission Talend, as they find the cost too high."

"There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions."

"I think the subscription-based model is concerning because as I mentioned, some of our other projects are migrating to different tools."

More Qlik Talend Cloud cons

"The persistence could be better."

Pricing and Cost Advice

"The solution's pricing is very reasonable and half the cost of Informatica."

"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."

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

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

"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."

"The price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs beyond the standard licensing fee."

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

More Qlik Talend Cloud pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Outsourcing Company

12%

Comms Service Provider

11%

Construction Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	21
Midsize Enterprise	12
Large Enterprise	20

No data available

Questions from the Community

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...

See all answers

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Comparisons

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Talend Cloud

Compared 3% of the time

Databricks vs Qlik Talend Cloud

Compared 2% of the time

Ataccama ONE Platform vs Qlik Talend Cloud

Compared 2% of the time

SSIS vs Qlik Talend Cloud

Compared 2% of the time

Melissa Data Quality vs Qlik Talend Cloud

Compared 2% of the time

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Apache Flink vs SAS Event Stream Processing

Compared 31% of the time

Apache Spark Streaming vs SAS Event Stream Processing

Compared 29% of the time

Apache Kafka vs SAS Event Stream Processing

Compared 27% of the time

Starburst Enterprise vs SAS Event Stream Processing

Compared 7% of the time

More SAS Event Stream Processing Competitors

Product Reports

Buyer's Guide

Qlik Talend Cloud

October 2026

Download Qlik Talend Cloud product report

Buyer's Guide

Streaming Analytics

September 2026

Download SAS Event Stream Processing product report

Also Known As

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

No data available

Overview

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

SAS Event Stream Processing is a powerful analytics platform designed to handle large volumes of streaming data in real-time. It provides rapid insights into event-driven data, enhancing decision-making processes for businesses across industries.

Offering advanced analytics and monitoring capabilities, SAS Event Stream Processing supports real-time data analysis, enabling users to derive insights from live data streams. This platform is suitable for industries that demand immediate insights from complex data, such as financial services, telecommunications, and manufacturing. It accommodates diverse data sources and integrates seamlessly with existing IT infrastructures.

What are the key features of SAS Event Stream Processing?

Real-time Analytics: Processes and analyzes data instantly to provide timely insights.
Advanced Pattern Detection: Identifies complex patterns within streaming data for informed decisions.
Scalability: Handles vast data streams efficiently, supporting enterprise-level requirements.
Seamless Integration: Integrates with existing systems to augment data processing capabilities.
Event-driven Architecture: Reacts to changes or conditions in data swiftly and accurately.

What benefits and ROI should users expect from SAS Event Stream Processing?

Improved Efficiency: Streamlined data analysis processes enhance operational efficiency.
Cost Reduction: Real-time insights minimize resource wastage and optimize output.
Increased Agility: Rapid processing allows quicker response to market changes.
Enhanced Decision-making: Data-driven insights lead to more informed business strategies.
Competitive Advantage: Timely data insights offer a strategic edge over competitors.

Industries like finance leverage SAS Event Stream Processing to monitor transactions in real-time, detecting fraud as it occurs. Telecommunications benefit from optimizing network operations and improving customer experiences through live data analysis. Manufacturers use it to manage supply chains and maintain quality assurance in real-time.

SAS

Sample Customers

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Honda, HSBC, Lufthansa, Nestle, 89Degrees.

Find out what your peers are saying about Databricks, Microsoft, Apache and others in Streaming Analytics. Updated: September 2026.

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