We performed a comparison between Amazon EMR and Azure Data Factory based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."
"The solution helps us manage huge volumes of data."
"The project management is very streamlined."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"We are using applications, such as Splunk, Livy, Hadoop, and Spark. We are using all of these applications in Amazon EMR and they're helping us a lot."
"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."
"The initial setup is pretty straightforward."
"The solution is pretty simple to set up."
"The solution is okay."
"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."
"Powerful but easy-to-use and intuitive."
"It is easy to deploy workflows and schedule jobs."
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."
"The dashboard management could be better. Right now, it's lacking a bit."
"We don't have much control. If we have multiple users, if they want to scale up, the cost will go and increase and we don't know how we can restrict that price part."
"There is room for improvement in pricing."
"There is no need to pay extra for third-party software."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"Modules and strategies should be better handled and notified early in advance."
"Amazon EMR can improve by adding some features, such as megastore services and HiveServer2. Additionally, the user interface could be better, similar to what Apache service provides, cross-platform services."
"The product's features for storing data in static clusters could be better."
"There is no built-in pipeline exit activity when encountering an error."
"Data Factory's monitorability could be better."
"The speed and performance need to be improved."
"There are limitations when processing more than one GD file."
"The support and the documentation can be improved."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"The setup and configuration process could be simplified."
"Azure Data Factory can improve by having support in the drivers for change data capture."
Amazon EMR is ranked 9th in Cloud Data Warehouse with 20 reviews while Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews. Amazon EMR is rated 7.8, while Azure Data Factory is rated 8.0. The top reviewer of Amazon EMR writes "Provides efficient data processing features and has good scalability ". On the other hand, the top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". Amazon EMR is most compared with Snowflake, Cloudera Distribution for Hadoop, Amazon Redshift, Apache Spark and Microsoft Azure Synapse Analytics, whereas Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics. See our Amazon EMR vs. Azure Data Factory report.
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We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
