Qlik Compose vs StreamSets comparison

Qlik and IBM are both solutions in the Data Integration category. Qlik is ranked #23 with an average rating of 7.9, while IBM is ranked #15 with an average rating of 8.4. 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

1,451 Views
1,107 Comparison Views

81% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,378 Views
1,645 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: April 2025).

Buyer's Guide

Qlik Compose vs. StreamSets

April 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

23rd

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

15th

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 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 1.3% 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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Karthik Rajamani

Principal Engineer at Tata Consultancy Services

Integrates with different enterprise systems and enables us to easily build data pipelines without knowing how to code

There are a few things that can be better. 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. There are certain features that are only available at certain stages. For example, HTTP Client has some great features when it is used as a processor, but those features are not available in HTTP Client as a destination. There could be some improvements on the group side. Currently, if I want to know which users are a part of certain groups, it is not straightforward to see. You have to go to each and every user and check the groups he or she is a part of. They could improve it in that direction. Currently, we have to put in a manual effort. In case something goes wrong, we have to go to each and every user account to check whether he or she is a part of a certain group or not.

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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

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

"It is a scalable solution."

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

"One of the most valuable features of this tool is its automation capabilities, allowing us to design the warehouse in an automated manner. Additionally, we can generate Data Lifecycle Policies (DLP) reports and efficiently implement updates and best practices based on proven design patterns."

"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."

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

"It can scale."

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

More Qlik Compose pros

"StreamSets is the leader in the market."

"In StreamSets, everything is in one place."

"The most valuable features are the option of integration with a variety of protocols, languages, and origins."

"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."

"The most valuable would be the GUI platform that I saw. I first saw it at a special session that StreamSets provided towards the end of the summer. I saw the way you set it up and how you have different processes going on with your data. The design experience seemed to be pretty straightforward to me in terms of how you drag and drop these nodes and connect them with arrows."

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

"The ETL capabilities are very useful for us. We extract and transform data from multiple data sources, into a single, consistent data store, and then we put it in our systems. We typically use it to connect our Apache Kafka with data lakes. That process is smooth and saves us a lot of time in our production systems."

"It is really easy to set up and the interface is easy to use."

More StreamSets pros

Cons

"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."

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

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

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

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

"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."

"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."

"They need to improve their customer care services. Sometimes it has taken more than 48 hours to resolve an issue. That should be reduced. They are aware of small or generic issues, but not the more technical or deep issues. For those, they require some time, generally 48 to 72 hours to respond. That should be improved."

"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."

"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."

"One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."

"Sometimes, it is not clear at first how to set up nodes. A site with an explanation of how each node works would be very helpful."

"The monitoring visualization is not that user-friendly. It should include other features to visualize things, like how many records were streamed from a source to a destination on a particular date."

"One thing that I would like to add is the ability to manually enter data. The way the solution currently works is we don't have the option to manually change the data at any point in time. Being able to do that will allow us to do everything that we want to do with our data. Sometimes, we need to manually manipulate the data to make it more accurate in case our prior bifurcation filters are not good. If we have the option to manually enter the data or make the exact iterations on the data set, that would be a good thing."

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."

"The licensing is expensive, and there are other costs involved too. I know from using the software that you have to buy new features whenever there are new updates, which I don't really like. But initially, it was very good."

"StreamSets is an expensive solution."

"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."

"StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."

"The pricing is affordable for any business."

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

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

"Its pricing is pretty much up to the mark. For smaller enterprises, it could be a big price to pay at the initial stage of operations, but the moment you have the Seed B or Seed C funding and you want to scale up your operations and aren't much worried about the funds, at that point in time, you would need a solution that could be scaled."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Government

10%

Computer Software Company

Manufacturing Company

Financial Services Firm

14%

Computer Software Company

11%

Manufacturing Company

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...

See all answers

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.

See all answers

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...

See all answers

What needs improvement with StreamSets?

We often faced problems, especially with SAP ERP. We struggled because many columns weren't integers or primary keys, which StreamSets couldn't handle. We had to restructure our data tables, which ...

See all answers

What is your primary use case for StreamSets?

StreamSets is used for data transformation rather than ETL processes. It focuses on transforming data directly from sources without handling the extraction part of the process. The transformed data...

See all answers

Comparisons

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Compared 52% of the time

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Compared 14% of the time

Azure Data Factory vs Qlik Compose

Compared 9% of the time

Palantir Foundry vs Qlik Compose

Compared 6% of the time

Oracle GoldenGate vs Qlik Compose

Compared 5% of the time

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Compared 14% of the time

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Compared 12% of the time

webMethods.io vs StreamSets

Compared 9% of the time

Fivetran vs StreamSets

Compared 8% of the time

Azure Data Factory vs StreamSets

Compared 7% of the time

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Product Reports

Buyer's Guide

Qlik Compose

March 2025

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Buyer's Guide

StreamSets

March 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

April 2025

Free Report: Qlik Compose vs. StreamSets

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

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