We performed a comparison between Qlik Compose and SAS Data Integration Server based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good."
"I have found it to be a very good, stable, and strong product."
"The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities."
"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."
"It is a scalable solution."
"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."
"The technical support is very good. I rate the technical support a ten out of ten."
"Qlik Compose is good enough. It is user-friendly and intuitive."
"The solution is very stable."
"The most valuable feature of the solution is its amazing capabilities in regard to data handling."
"The solution offers very good data manipulation and loading."
"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."
"For more complex work, we are not using Qlik Compose because it cannot handle very high volumes at the moment. It needs the same batching capabilities that other ETL tools have. We can't batch the data into small chunks when transforming large amounts of data. It tries to do everything in one shot and that's where it fails."
"There is some scope for improvement around the documentation, and a better UI would definitely help."
"Qlik's ETL and data transformation could be better."
"There could be more customization options."
"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."
"My issues with the solution's stability are owing to the fact that it has certain bugs causing issues in some functionalities that should be working."
"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."
"The transform tool has limited access. They should make it more flexible."
"So I would like to see improved integration with other software."
"The initial setup of SAS Data Integration Server was complex."
Qlik Compose is ranked 20th in Data Integration with 12 reviews while SAS Data Integration Server is ranked 34th in Data Integration with 3 reviews. Qlik Compose is rated 7.6, while SAS Data Integration Server is rated 7.4. The top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". On the other hand, the top reviewer of SAS Data Integration Server writes "A stable and scalable tool with data handling capabilities and an amazing technical support". Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Azure Data Factory, SSIS and Palantir Foundry, whereas SAS Data Integration Server is most compared with Palantir Foundry, SSIS, Oracle Data Integrator (ODI), Azure Data Factory and AWS Glue.
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We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
