We performed a comparison between Oracle Big Data SQL and Qlik Compose based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."This solution can maintain a large volume of data and is flexible to what data it can handle. The performance is very good."
"The user interface is really user-friendly and intuitive."
"Qlik Compose is good enough. It is user-friendly and intuitive."
"It's a stable solution."
"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."
"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."
"The technical support is very good. I rate the technical support a ten out of ten."
"It is a scalable solution."
"It can scale."
"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."
"There is room for improvement in the pricing."
"The solution could improve by adding more advanced features."
"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."
"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."
"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 believe that visual data flow management and the transformation function should be improved."
"There should be proper documentation available for the implementation process."
"I'd like to have access to more developer training materials."
"There is some scope for improvement around the documentation, and a better UI would definitely help."
Oracle Big Data SQL is ranked 17th in Cloud Data Integration with 2 reviews while Qlik Compose is ranked 20th in Data Integration with 12 reviews. Oracle Big Data SQL is rated 8.6, while Qlik Compose is rated 7.6. The top reviewer of Oracle Big Data SQL writes "Offers good scalability, strong stability and seamless integration ". On the other hand, the top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". Oracle Big Data SQL is most compared with Palantir Foundry and Oracle Data Integrator (ODI), whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Oracle Data Integrator (ODI), SSIS and Azure Data Factory. See our Oracle Big Data SQL vs. Qlik Compose report.
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