We performed a comparison between Oracle Data Integrator (ODI) and Qlik Compose based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."ODI is a very accessible tool, especially since the mapping functionality has been added."
"The most valuable feature is Data movement."
"The solution's initial setup is straightforward, especially compared to Mule, which our team has worked with before and found to be a bit more complex in terms of setup."
"The most valuable features of ODI are the knowledge modules, such as the Loading Knowledge module and the Check Knowledge module, they are helpful. We can check for the constraints in ODI. That helps in figuring out what are the constraints that are the primary keys created in the tables. We can check them with the Check Knowledge module."
"It is an ETL tool, which does the extract, transform, and load."
"Besides loading data, we do most of our transformations in ODI."
"The product has an ELT approach."
"ODI's most valuable features are it utilizes the database engine and is very lightweight."
"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."
"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 most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities."
"It's a stable solution."
"I have found it to be a very good, stable, and strong product."
"It can scale."
"It is a scalable solution."
"It would be really good if Oracle considered enabling the tool to integrate with some other platforms that are deprecated simply for commercial reasons"
"At present, when multiple steps are executed in parallel in the load plan and errors occur, the error handling mechanism does not function correctly."
"Reverse engineering is complicated and challenging to manage."
"The performance of the user interface is in need of improvement."
"The tool should improve its pricing. It prevents the application of Oracle ODI on small and medium projects in countries like Croatia, Germany, or the US. While there are no technological obstacles to using it, the high price makes it unfeasible for projects with smaller budgets."
"It needs easier security."
"If you have something like Cisco on top of it, you will have endless problems."
"It lacks a suite of tools suitable for fully processing data and moving it into decision support warehouses."
"I believe that visual data flow management and the transformation function should be improved."
"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."
"There is some scope for improvement around the documentation, and a better UI would definitely help."
"There could be more customization options."
"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."
"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 should be proper documentation available for the implementation process."
"Qlik's ETL and data transformation could be better."
Oracle Data Integrator (ODI) is ranked 4th in Data Integration with 67 reviews while Qlik Compose is ranked 20th in Data Integration with 12 reviews. Oracle Data Integrator (ODI) is rated 8.2, while Qlik Compose is rated 7.6. The top reviewer of Oracle Data Integrator (ODI) writes "Straightforward to implement, scalable, and has good stability and documentation, but technical support could still be improved". On the other hand, the top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". Oracle Data Integrator (ODI) is most compared with Oracle Integration Cloud Service, Informatica PowerCenter, SSIS, Azure Data Factory and Oracle GoldenGate, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, SSIS, Azure Data Factory and Palantir Foundry. See our Oracle Data Integrator (ODI) vs. Qlik Compose report.
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