We performed a comparison between Qlik Compose and WhereScape RED based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."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."
"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."
"It's a stable solution."
"It is a scalable solution."
"There were many valuable features, such as extracting any data to put in the cloud. For example, Qlik was able to gather data from SAP and extract SAP data from the platforms."
"Qlik Compose is good enough. It is user-friendly and intuitive."
"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."
"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."
"Quickly develops a data warehouse for our organization with documentation and can track back/forward features."
"The tool supports multiple target update methods."
"WhereScape RED has improved our business's ability to generate needed reporting without requiring a large team of developers to manually code all of the necessary plumbing."
"Naturally produces a way to easily debug your DW data solutions."
"This is a fantastically robust DW tool that will make you at least 10 times faster in producing a DW."
"It has a built-in automatic scheduling environment."
"The most valuable feature is the metadata generated code."
"WhereScape's deployment package is a fantastic feature. The application allows for selecting specific objects that you would like to deploy from one environment to another rather than deploying the entire database."
"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."
"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."
"I'd like to have access to more developer training materials."
"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."
"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."
"When processing data from certain tables with a large volume of data, we encounter significant delays. For instance, when dealing with around one million records, it typically takes three to four hours. To address this, I aim to implement performance improvements across all tables, ensuring swift processing similar to those that are currently complete within seconds. The performance issue primarily arises when we analyze the inserts and updates from the source, subsequently dropping the table. While new insertions are handled promptly, updates are processed slowly, leading to performance issues. Despite consulting our Qlik vendors, they were unable to pinpoint the exact cause of this occurrence. Consequently, I am seeking ways to optimize performance within Qlik Compose, specifically concerning updates."
"There could be more customization options."
"Technical support isn't the best."
"They need a more robust support center. It has been a bit difficult to find solutions to problems that are out-of-the-box."
"Improve the object renaming ability (it works, but it could be more automated)."
"The ability to execute SSIS projects within WhereScape would be nice because we have a lot of packages that are too cumbersome to recreate."
"The solution can be a little more user-friendly on enterprise-level where people use it."
"No support for change data capture or delta detection - that must be custom coded ."
"Jobs cannot be deleted via the deployment package. When deploying from dev to QA or production, a job has to be retired. The job has to be manually removed from the target environment."
"It could use a tool to diagnose what is missing from the environment for WhereScape to install successfully."
Earn 20 points
Qlik Compose is ranked 20th in Data Integration with 12 reviews while WhereScape RED is ranked 48th in Data Integration. Qlik Compose is rated 7.6, while WhereScape RED is rated 8.2. The top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". On the other hand, the top reviewer of WhereScape RED writes "Quick to set up, flexible, and stable". Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Azure Data Factory, SSIS and Informatica Enterprise Data Catalog, whereas WhereScape RED is most compared with Azure Data Factory, SSIS, Informatica PowerCenter, Matillion ETL and AWS Glue.
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