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Qlik Talend Cloud vs Striim comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 2026

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 Data Integration
6th
Ranking in Cloud Data Integration
7th
Ranking in Streaming Analytics
6th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Data Governance (9th), Cloud Master Data Management (MDM) (4th), Integration Platform as a Service (iPaaS) (6th)
Striim
Ranking in Data Integration
65th
Ranking in Cloud Data Integration
30th
Ranking in Streaming Analytics
26th
Average Rating
8.0
Reviews Sentiment
5.2
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Streaming Analytics category, the mindshare of Qlik Talend Cloud is 3.1%, up from 1.0% compared to the previous year. The mindshare of Striim is 1.7%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud3.1%
Striim1.7%
Other95.2%
Streaming Analytics
 

Featured Reviews

HJ
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.
Mario Rodríguez Hernández - PeerSpot reviewer
Arquitecto De Soluciones at a tech vendor with 10,001+ employees
Reliable change data capture has kept critical databases synchronized in real time
I consider the best features that Striim offers to be great performance and a large number of sources and targets that can be connected. Striim is capable of absorbing a large number of transactions, and the difference between the two databases is always less than a second, which demonstrates efficiency and highlights the variety of sources and targets I have used. Striim has had a positive impact on my organization as it has solved stability issues that I had with other tools.

Quotes from Members

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

Pros

"Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc."
"The basic tools are easy to pick up and understand."
"It offers advanced features that allow you to create custom patterns and use regular expressions to identify data issues."
"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."
"The best feature of Talend Data Integration is its multiple data DB components; we have almost all the components and also cloud versions, with TMC allowing us to perform data preparation and data stewardship."
"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."
"We’re also able to respond much more quickly to changes and demands from the business, as we can create and change jobs quickly and provide new data for reports within hours."
"The file fetch process is impeccable."
"Striim is capable of absorbing a large number of transactions, and the difference between the two databases is always less than a second, which demonstrates efficiency and highlights the variety of sources and targets I have used."
 

Cons

"The usage of memory. This tool uses a huge amount of memory."
"I would say that some of the support elements need improvement."
"Not enough material is available for beginners."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
"I would like to sync a project and do an upload from that current version, and then from GitLab, be able to download the latest one."
"In redundancy analysis, the query is failing to bring non-matched records. This query is an internal script. There is no way (that I know of) to fix this syntax error for future runs."
"Once you get past the basic tools, it gets pretty complicated."
"The biggest challenge with Talend was its performance."
"I think Striim could be improved with better pricing and enhanced documentation."
 

Pricing and Cost Advice

"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 tool is cheap."
"License renewal is on a yearly basis."
"I have been using the open-source version."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"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 product pricing is considered very good, especially compared to other data integration tools in the market."
"It's a subscription-based platform, we renew it every year."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Comms Service Provider
9%
Construction Company
7%
Computer Software Company
7%
Healthcare Company
14%
Construction Company
14%
Financial Services Firm
13%
Retailer
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
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 ...
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...
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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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
Striim Platform
 

Overview

 

Sample Customers

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Sky, UPS, MACY'S, EMAAR, HSBC
Find out what your peers are saying about Databricks, Microsoft, Apache and others in Streaming Analytics. Updated: June 2026.
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