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."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."
"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."
"It has a variety of options and support systems."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"The solution is pretty simple to set up."
"The solution is scalable."
"The solution helps us manage huge volumes of data."
"The initial setup is pretty straightforward."
"The most valuable features are data transformations."
"I like the basic features like the data-based pipelines."
"The flexibility that Azure Data Factory offers is great."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"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."
"It's extremely consistent."
"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."
"From what we have seen so far, the solution seems very stable."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"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."
"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange."
"The product must add some of the latest technologies to provide more flexibility to the users."
"There is no need to pay extra for third-party software."
"The legacy versions of the solution are not supported in the new versions."
"The initial setup was time-consuming."
"There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button."
"They require more detailed error reporting, data normalization tools, easier connectivity to other services, more data services, and greater compatibility with other commonly used schemas."
"Data Factory's monitorability could be better."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"The setup and configuration process could be simplified."
"The product could provide more ways to import and export data."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"It would be better if it had machine learning capabilities."
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.
