We performed a comparison between Azure Data Factory and Fivetran 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."Azure Data Factory became more user-friendly when data-flows were introduced."
"The trigger scheduling options are decently robust."
"The overall performance is quite good."
"The most valuable aspect is the copy capability."
"It is easy to deploy workflows and schedule jobs."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"The solution can scale very easily."
"It is beneficial that the solution is written with Spark as the back end."
"Fivetran's most valuable feature is replication."
"Its arrays are powerful enough to handle migrations even when the replication is happening in the background, without causing any trouble with the ongoing traffic."
"The product is very easy to use and very easy to configure."
"The most important feature of the solution is its ability to build data pipelines in less time."
"The most valuable feature of Fivetran is that it only synchronizes what needs to be synchronized."
"There's the general feature of the platform where it just makes it very easy to integrate different things, but I would say a specific difference is their integration of DBT,."
"The product has some seamless connectors, which are readily available."
"The simplicity of the solution is its valuable feature."
"Azure Data Factory uses many resources and has issues with parallel workflows."
"Lacks in-built streaming data processing."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."
"Data Factory's performance during heavy data processing isn't great."
"The setup and configuration process could be simplified."
"There aren't many third-party extensions or plugins available in the solution."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"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."
"Fivetran is very expensive for data sources with a lot of rows, such as email data. I would like to see cheaper pricing for data sources like that."
"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."
"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."
"There was a random change to our contract in a unilateral manner after the first year. The overall cost of using Fivetran was then unclear and this is the reason I would not recommend this solution."
"The solution is very expensive. I would like to have a better integration of the solution with Azure."
"I would like Fivetran to implement additional resource monitoring and restriction policies."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Fivetran is ranked 13th in Data Integration with 19 reviews. Azure Data Factory is rated 8.0, while Fivetran is rated 8.0. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of Fivetran writes "Solution reduces time-to-value; high ROI". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Fivetran is most compared with AWS Database Migration Service, Qlik Replicate, Oracle GoldenGate, Informatica Cloud Data Integration and StreamSets. See our Azure Data Factory vs. Fivetran report.
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