We performed a comparison between Fivetran 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."The simplicity of the solution is its valuable feature."
"The most important feature of the solution is its ability to build data pipelines in less time."
"The ease of usability is the most valuable feature. It's very easy and quick to set up. It also has a central hub as opposed to GoldenGate which is one direct interface. For GoldenGate I would have needed three interfaces whereas with HVR I have a central interface that manages everything."
"The compare feature is the most valuable piece of it."
"Fivetran's most valuable feature is replication."
"For us, Fivetran has been able to scale both in terms of the data we bring into our warehouse and the amount of data that we use as well."
"The general data ingestion is valuable. It's used for a lot of data. It provides about 90% of the data we use in our data warehouse without needing data engineering."
"The solution is stable. We've never faced any stability issues."
"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 is a scalable solution."
"Qlik Compose is good enough. It is user-friendly and intuitive."
"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."
"It can scale."
"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 documentation is decent, but it's hard to find information online about Fivetran. For example, if you try to search for an error code, you won't find much information about it in forums."
"More connectors are needed for exotic, popular, and rising star portals."
"Some of the pain points we're looking at are trying to integrate some of the items in the Microsoft stack, so SharePoint and Excel, and then some of the newer Azure services."
"The customization could improve because Fivetran gives more thought to people who don't want to manage analytics workflows rather than engineers who want to be able to customize pipelines more thoroughly."
"We use a separate tool for "reverse ETL", which is the opposite of what Fivetran does; it pushes data from your data warehouse back out to business applications. If Fivetran pulls data from those same applications, they should also enable users to push it back. I would love to do both ETL and reverse ETL in the same tool."
"It should have a few more monitoring functionalities."
"The documentation can be laid out better to make it easier to find things, and I really wish there was built-in support for changing passwords. Some features don't work as advertised for the platform/repository database, and HVR is not always the fastest at getting results."
"HVR Software's technical support could be improved. Whenever we log a case, the response that we get from the support is a bit delayed."
"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."
"I'd like to have access to more developer training materials."
"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."
"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."
"There could be more customization options."
"Qlik's ETL and data transformation could be better."
"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."
"I believe that visual data flow management and the transformation function should be improved."
Fivetran is ranked 13th in Data Integration with 19 reviews while Qlik Compose is ranked 20th in Data Integration with 12 reviews. Fivetran is rated 8.0, while Qlik Compose is rated 7.6. The top reviewer of Fivetran writes "Solution reduces time-to-value; high ROI". On the other hand, the top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". Fivetran is most compared with AWS Database Migration Service, Qlik Replicate, Azure Data Factory, Oracle GoldenGate and Informatica Cloud Data Integration, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, SSIS, Azure Data Factory and Oracle Data Integrator (ODI). See our Fivetran vs. Qlik Compose report.
See our list of best Data Integration vendors and best Cloud Data Integration vendors.
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