We performed a comparison between Actian Pervasive Data Integrator [EOL] and Qlik Compose based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."There were no concerns with the stability. This product is very good from a stability perspective."
"I have found it to be a very good, stable, and strong product."
"Qlik Compose is good enough. It is user-friendly and intuitive."
"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 most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities."
"The technical support is very good. I rate the technical support a ten out of ten."
"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."
"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 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."
"I am not sure if there are various connectors available in the recent version of Pervasive DI to support the wide range of sources available (e.g., big data, cloud, EME)."
"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 could be more customization options."
"There should be proper documentation available for the implementation process."
"There is some scope for improvement around the documentation, and a better UI would definitely help."
"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."
"Qlik's ETL and data transformation could be better."
"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."
Earn 20 points
Actian Pervasive Data Integrator [EOL] doesn't meet the minimum requirements to be ranked in Data Integration while Qlik Compose is ranked 20th in Data Integration with 12 reviews. Actian Pervasive Data Integrator [EOL] is rated 5.8, while Qlik Compose is rated 7.6. The top reviewer of Actian Pervasive Data Integrator [EOL] writes "You can use it to send data back and forth between Salesforce.com and JD Edwards". On the other hand, the top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". Actian Pervasive Data Integrator [EOL] is most compared with , whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Oracle Data Integrator (ODI), SSIS and Azure Data Factory.
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