Qlik Compose vs StreamSets comparison

Qlik and IBM are both solutions in the Data Integration category. Qlik is ranked #32 with an average rating of 7.0, while IBM is ranked #22 with an average rating of 8.8. Qlik holds a 1.1% mindshare in DI, compared to IBM’s 1.6% mindshare. Additionally, 81% of Qlik users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Qlik Compose

Read 12 Qlik Compose reviews

1,338 Views
954 Comparison Views

81% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,186 Views
1,376 Comparison Views

100% willing to recommend

Qlik Compose

StreamSets

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

StreamSets and Qlik Compose compete in the data integration category. StreamSets seems to have the upper hand in terms of ease of use and integration capabilities, while Qlik Compose excels in automation and data management.

Features: StreamSets is known for its ease of use, wide connector range, and ability to handle both batch and streaming data effectively. Users highlight the Control Hub and Data Collector for offering a user-friendly drag-and-drop interface. Seamless integration with platforms like AWS and Azure is highly valued. Qlik Compose, on the other hand, shines in automation, enabling warehouse design with minimal coding. It provides excellent data integration and management features, supporting synchronization across databases.

Room for Improvement: StreamSets users report issues with integration beyond Java platforms and call for better memory management and simpler logging. They also see room for enhancing security and usability, alongside documentation and community support improvements. Qlik Compose users desire stronger monitoring and data transformation capabilities. They look for enhanced handling of high-volume data, better custom coding language integration, and more intuitive user experiences.

Ease of Deployment and Customer Service: StreamSets offers flexibility across public, hybrid, and on-premises cloud environments. Technical support reviews vary, from effective to requiring patience, with improvements desired in response times and communication. Qlik Compose primarily deploys on-premises and in private clouds, with users often relying on community and web resources. Technical support needs to be more user-friendly and responsive.

Pricing and ROI: StreamSets has multiple pricing models, including a free version and paid editions with advanced features, but costs are high for small businesses, leading to calls for more flexible pricing. Despite this, users find significant ROI in time savings and better data integration. Qlik Compose's pricing is also considered high, especially for corporate clients, suggesting a need for more competitive options. Both solutions offer valuable features that impact perceived value and ROI differently for users.

To learn more, read our detailed Qlik Compose vs. StreamSets Report (Updated: May 2025).

Buyer's Guide

Qlik Compose vs. StreamSets

May 2025

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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 Compose

Ranking in Data Integration

32nd

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

StreamSets

Ranking in Data Integration

22nd

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the Data Integration category, the mindshare of Qlik Compose is 1.1%, up from 0.9% compared to the previous year. The mindshare of StreamSets is 1.6%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Sahil Taneja

Principal Consultant/Manager at Tenzing

Easy matching and reconciliation of data

The initial setup was easy for the data warehousing concept. But for a person who is new to ETL and warehousing concepts, it may take some time. If someone is familiar with these concepts, they could understand and learn the tool quickly. However, compared to other tools, the UI is complex. It would be helpful to have a better UI and documentation for new users. As of now, there is a challenge in learning the Compose tool for new users altogether. Qlik Compose was deployed on-premises. But the servers, like the SQL servers were maintained on the cloud—the managed instances.

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Ved Prakash Yadav

Senior Data Platform Manager at a manufacturing company with 10,001+ employees

Useful for data transformation and helps with column encryption

We use various tools and alerting systems to notify us of pipeline errors or failures. StreamSets supports data governance and compliance by allowing us to encrypt incoming data based on specified rules. We can easily encrypt columns by providing the column name and hash key. If you're considering using StreamSets for the first time, I would advise first understanding why you want to use it and how it will benefit you. If you're dealing with change tracking or handling large amounts of data, it could be cost-effective compared to services like Amazon. It's easy to schedule and manage tasks with the tool, and you can enhance your skills as an ETL developer. You can easily migrate traditional pipelines built on platforms like Informatica or Talend to StreamSets. I rate the overall solution an eight out of ten.

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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

"I like modeling and code generation. It has become a pretty handy tool because of its short ideation to delivery time. From the time you decide you are modeling a data warehouse, and once you finish the modeling, it generates all the code, generates all the tables. All you have to do is tick a few things, and you can produce a fully functional warehouse. I also like that they have added all the features I have asked for over four years."

"I have found it to be a very good, stable, and strong product."

"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."

"It can scale."

"It's a stable solution."

"The technical support is very good. I rate the technical support a ten out of ten."

"It is a scalable solution."

"Qlik Compose is good enough. It is user-friendly and intuitive."

More Qlik Compose pros

"The Ease of configuration for pipes is amazing. It has a lot of connectors. Mainly, we can do everything with the data in the pipe. I really like the graphical interface too"

"The entire user interface is very simple and the simplicity of creating pipelines is something that I like very much about it. The design experience is very smooth."

"The ability to have a good bifurcation rate and fewer mistakes is valuable."

"In StreamSets, everything is in one place."

"StreamSets is the leader in the market."

"The most valuable feature is the pipelines because they enable us to pull in and push out data from different sources and to manipulate and clean things up within them."

"The scheduling within the data engineering pipeline is very much appreciated, and it has a wide range of connectors for connecting to any data sources like SQL Server, AWS, Azure, etc. We have used it with Kafka, Hadoop, and Azure Data Factory Datasets. Connecting to these systems with StreamSets is very easy."

"StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes."

More StreamSets pros

Cons

"The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring."

"Qlik's ETL and data transformation could be better."

"It could enhance its capabilities in the realm of self-service options as currently, it is more suited for individuals with technical proficiency who can create pages using it."

"It would be better if the first level of technical support were a bit more technically knowledgeable to solve the problem. I think they could also improve the injection of custom scripts. It is pretty difficult to add additional scripts. If the modeling doesn't give you what you want, and you want to change the script generated by the modeling, it is a bit more challenging than in most other products. It is very good with standard form type systems, but if you get a more complicated data paradigm, it tends to struggle with transforming that into a model."

"There is some scope for improvement around the documentation, and a better UI would definitely help."

"There should be proper documentation available for the implementation process."

"I believe that visual data flow management and the transformation function should be improved."

"There could be more customization options."

More Qlik Compose cons

"If you use JDBC Lookup, for example, it generally takes a long time to process data."

"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."

"We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back."

"Visualization and monitoring need to be improved and refined."

"The execution engine could be improved. When I was at their session, they were using some obscure platform to run. There is a controller, which controls what happens on that, but you should be able to easily do this at any of the cloud services, such as Google Cloud. You shouldn't have any issues in terms of how to run it with their online development platform or design platform, basically their execution engine. There are issues with that."

"The software is very good overall. Areas for improvement are the error logging and the version history. I would like to see better, more detailed error logging information."

"One issue I observed with StreamSets is that the memory runs out quickly when processing large volumes of data. Because of this memory issue, we have to upgrade our EC2 boxes in the Amazon AWS infrastructure."

"StreamSets should provide a mechanism to be able to perform data quality assessment when the data is being moved from one source to the target."

More StreamSets cons

Pricing and Cost Advice

"The price of the solution is expensive."

"While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us."

"On a scale of one to ten, where one is cheap, and ten is very expensive, I rate the solution a six."

"StreamSets is an expensive solution."

"There are two editions, Professional and Enterprise, and there is a free trial. We're using the Professional edition and it is competitively priced."

"It's not so favorable for small companies."

"The overall cost is very flexible so it is not a burden for our organization... However, the cost should be improved. For small and mid-size organizations it might be a challenge."

"We are running the community version right now, which can be used free of charge."

"The pricing is too fixed. It should be based on how much data you need to process. Some businesses are not so big that they process a lot of data."

"It has a CPU core-based licensing, which works for us and is quite good."

"We use the free version. It's great for a public, free release. Our stance is that the paid support model is too expensive to get into. They should honestly reevaluate that."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Manufacturing Company

Computer Software Company

Government

Financial Services Firm

13%

Computer Software Company

11%

Manufacturing Company

10%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Which ETL tool would you recommend to populate data from OLTP to OLAP?

There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cu...

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What do you like most about Qlik Compose?

The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities.

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What is your experience regarding pricing and costs for Qlik Compose?

While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us.

See all answers

What do you like most about StreamSets?

The best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customiz...

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What needs improvement with StreamSets?

One issue I observed with StreamSets is that the memory runs out quickly when processing large volumes of data. Because of this memory issue, we have to upgrade our EC2 boxes in the Amazon AWS infr...

See all answers

What is your primary use case for StreamSets?

We are using StreamSets for batch loading.

See all answers

Comparisons

Qlik Replicate vs Qlik Compose

Compared 50% of the time

Talend Open Studio vs Qlik Compose

Compared 16% of the time

Azure Data Factory vs Qlik Compose

Compared 9% of the time

Palantir Foundry vs Qlik Compose

Compared 9% of the time

Oracle GoldenGate vs Qlik Compose

Compared 6% of the time

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Informatica PowerCenter vs StreamSets

Compared 13% of the time

IBM InfoSphere DataStage vs StreamSets

Compared 13% of the time

webMethods.io vs StreamSets

Compared 10% of the time

Azure Data Factory vs StreamSets

Compared 7% of the time

SSIS vs StreamSets

Compared 6% of the time

More StreamSets Competitors

Product Reports

Buyer's Guide

Qlik Compose

May 2025

Download Qlik Compose product report

Buyer's Guide

StreamSets

May 2025

Download StreamSets product report

Also Known As

Compose, Attunity Compose

No data available

Overview

Qlik Sense is a powerful business intelligence tool that offers a range of features to help organizations make faster and more informed decisions. Its primary use cases include operational and financial dashboards, self-service reporting, and centralized access to cross-functional reports. The solution is praised for its mobile platform, ease of use, data-sharing capabilities, and extensibility.

Qlik Sense has helped organizations improve data literacy, reduce time consumed in complex reports, and provide widely available MI to senior stakeholders. It also enables self-service analytics, improves data quality and governance, enhances collaboration, and reduces costs.

Qlik

StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.

IBM

Sample Customers

Poly-Wood

Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge

Buyer's Guide

Qlik Compose vs. StreamSets

May 2025

Free Report: Qlik Compose vs. StreamSets

Find out what your peers are saying about Qlik Compose vs. StreamSets and other solutions. Updated: May 2025.

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