We performed a comparison between Denodo 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."Denodo is lightweight in terms of how it leads you to combine your discrete data systems at one spot."
"While we may not be using all the features of Denodo at this time, we have found the data virtualization features to be very useful in helping us connect our data sources together, bringing all our data into one platform."
"The most valuable features are data lineage and the concept of a semantic layer."
"Overall, the product works quite well and has a good set of features."
"The logical data warehouse functionality is fantastic. It truly stands out. The ClearOptimizer and Virtual Cache are great features. They work together seamlessly to optimize performance."
"Denodo makes it easy to export data as a service or data link to other services."
"The ability to transfer data is very valuable."
"It is a go-to tool for data virtualization. The virtualization and data catalog are the features of why we chose Denodo."
"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."
"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."
"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."
"It is a scalable solution."
"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."
"The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities."
"It can scale."
"It would be good if the solution provided a much-needed cellular platform."
"Performance management could be improved."
"Denodo's training documentation could be improved by providing more material. From an administrative standpoint, I've found that only Denodo websites provide the usual tutorials. It may be because it's a bit of a restricted tool, but it results in trouble with learning. Normally, I can find help and solutions from other sources, but I haven't been able to find any for Denodo. Other that, it's fine and it performs well. I only have six months of experience, so I can't accurately suggest improvements."
"The support is not the best and should be improved."
"Tasks such as conversion of a date format or conversion of a number format that can be done in a very easy way in different languages, like SQL or Oracle, are not so easy to do in Denodo. For example, if you want to convert a date from one format to another, in Oracle it's pretty easy; in Denodo, however, it requires so many lines of code. Simple things that can be done very quickly in other database languages require more lines of code in Denodo."
"There have been some issues when you are at a table. Currently, Denodo exports data sets for a tabular model. When you are finished modeling your database or data warehouse they export a link to be used in Tableau. They should support other tools like Power BI."
"There are a couple of areas that can be improved in Denodo. From a stability point of view, sometimes we see issues in the data management functionality. This only happens now and then, however, and usually takes place when we add in our own customization."
"I would like to see a proper way to avoid killing the sourcing systems."
"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."
"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."
"There should be proper documentation available for the implementation process."
"I'd like to have access to more developer training materials."
"There could be more customization options."
"I believe that visual data flow management and the transformation function should be improved."
"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."
Denodo is ranked 12th in Data Integration with 29 reviews while Qlik Compose is ranked 20th in Data Integration with 12 reviews. Denodo is rated 7.8, while Qlik Compose is rated 7.6. The top reviewer of Denodo writes "Saves our underwriters' time with data virtualization, but could provide more learning resources". On the other hand, the top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". Denodo is most compared with Azure Data Factory, AWS Glue, Delphix, Mule Anypoint Platform and Informatica PowerCenter, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Azure Data Factory, SSIS and Palantir Foundry. See our Denodo vs. Qlik Compose report.
See our list of best Data Integration vendors and best Cloud Data Integration vendors.
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