We performed a comparison between Azure Data Factory and Dataloader.io based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."The initial setup is very quick and easy."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"The most valuable features are data transformations."
"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"The function of the solution is great."
"he product’s most valuable feature is ease of access."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"We have experienced some issues with the integration. This is an area that needs improvement."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"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."
"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."
"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."
"We need help with large data migrations. It only works well for a few thousand records or less than a million records."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Dataloader.io is ranked 39th in Data Integration with 1 review. Azure Data Factory is rated 8.0, while Dataloader.io 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 Dataloader.io writes "Provides an ease of access and an automated mapping feature". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Dataloader.io is most compared with Mule Anypoint Platform, DBamp and BMC Data Management for IMS and DB2 on zOS.
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