We performed a comparison between Matillion ETL 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."Matillion ETL has great Git integration that is perfect and convenient to use."
"We allow non-technical people to use Matillion to load data into our data warehouse for reporting. Thus, it is easy enough to use that we don't always have to get a technical person involved in setting up a data movement (ETL)."
"It's been able to do everything we require."
"The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources."
"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth"
"It has good integrations with Amazon Redshift and other AWS services."
"The technical support is very good. I rate the technical support a ten out of ten."
"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'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."
"It can scale."
"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."
"It can have multi-environment support. We should be able to deploy it in different environments. Its integration with SAP connection is not so nice, which should be improved. It can also support an on-prem database."
"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."
"Unlike Snowflake which automatically takes care of upgrading to the latest version and includes additional features, with Matillion ETL we need to do this ourselves."
"The tool's lineage is very weak."
"The product must enhance its near-real-time data capture feature."
"The improvement area could be possible if the tool provides better integration capabilities with other ecosystems, including governance tools or data cataloging tools, as it is currently an area where the solution is lacking."
"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."
"Matillion’s on-premises capabilities don’t allow you to build something customized."
"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."
"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."
"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."
"I'd like to have access to more developer training materials."
"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."
"I believe that visual data flow management and the transformation function should be improved."
"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."
Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews while Qlik Compose is ranked 20th in Data Integration with 12 reviews. Matillion ETL is rated 8.6, while Qlik Compose is rated 7.6. The top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". On the other hand, the top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and SSIS, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Oracle Data Integrator (ODI), SSIS and Azure Data Factory. See our Matillion ETL vs. Qlik Compose report.
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