We performed a comparison between Informatica Cloud Data Integration 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."The mass ingestion functionality and the elasticity of the solution are great."
"I like the fact that you can find almost any product connection that you need and the list is always expanding."
"The most valuable features of the solution are pushdown, optimization, and partitioning, which can be used for frequent data loading, especially when we have a huge data volume in our company."
"It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades."
"I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful."
"The product is scalable and excellent for enterprise-level organizations."
"It is one of the best tools available for data integration."
"The serverless capability and the packaging application of the solution are valuable."
"The technical support is very good. I rate the technical support a ten out of ten."
"I have found it to be a very good, stable, and strong product."
"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."
"It can scale."
"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 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."
"It's a stable solution."
"Cost-wise, it could be better."
"Error reporting and debugging need improvement."
"The vendor should have more training resources: online classes, free tutorial videos, etc."
"Informatica Cloud Data Integration could improve the price by making it less expensive."
"I would like to see more functionality added so that it is a bit closer to how much you can do with Informatica PowerCenter."
"The biggest challenge I see is the IDE's for the cloud and automization are different."
"It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."
"We would like to have accessibility to the repository."
"There should be proper documentation available for the implementation process."
"There could be more customization options."
"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."
"I believe that visual data flow management and the transformation function should be improved."
"I'd like to have access to more developer training materials."
"Qlik's ETL and data transformation could be better."
"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."
"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."
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Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews while Qlik Compose is ranked 20th in Data Integration with 12 reviews. Informatica Cloud Data Integration is rated 7.8, while Qlik Compose is rated 7.6. The top reviewer of Informatica Cloud Data Integration writes "A stable, scalable, and user-friendly solution". On the other hand, the top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, AWS Glue, Fivetran and Mule Anypoint Platform, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Azure Data Factory, SSIS and Palantir Foundry. See our Informatica Cloud Data Integration vs. Qlik Compose report.
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