We performed a comparison between Amazon EMR and Snowflake Analytics 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."It allows users to access the data through a web interface."
"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."
"The project management is very streamlined."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"The initial setup is pretty straightforward."
"The solution helps us manage huge volumes of data."
"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."
"One of the valuable features about this solution is that it's managed services, so it's pretty stable, and scalable as much as you wish. It has all the necessary distributions. With some additional work, it's also possible to change to a Spark version with the latest version of EMR. It also has Hudi, so we are leveraging Apache Hudi on EMR for change data capture, so then it comes out-of-the-box in EMR."
"It ensures the optimization of the application development while maintaining the user-friendly nature of its UI."
"Scalability-wise, I rate the solution a ten out of ten."
"The Snowflake features I find most beneficial for data analysis are primarily related to analytics, particularly their features like materialized views and queues, which are especially useful for dashboarding purposes."
"The platform not only provides ease of use but also stands out for its speedy execution, conveying a sense of robustness and reliability that I find appealing."
"It helps with business intelligence by providing analytics that can be reported."
"Snowflake Analytics' most valuable feature is its inbuilt infrastructure for executing queries, which I don't have to manage based on my data volume as it's taken care of by Snowflake."
"It can run complex workloads with varied compute."
"Very good flexibility and it offers computation completely decoupled from the storage."
"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 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 product's features for storing data in static clusters could be better."
"There is room for improvement in pricing."
"The initial setup was time-consuming."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"The legacy versions of the solution are not supported in the new versions."
"Implementing everything on-premise is challenging because it require proper support from advisors, DBAs, and others."
"The technical support is not very good."
"If you have a lot of computations, it becomes very costly."
"The product's cost is an area of concern where improvements are required."
"The scheduling of jobs requires improvement, particularly in terms of the user interface which currently lacks certain features found in comparable platforms."
"One notable absence in Snowflake's offerings is an on-premises solution."
"The platform could work easier for AI implementation compared to one of its competitors."
"I cannot comment on the product's stability because we are still struggling with its performance."
Amazon EMR is ranked 9th in Cloud Data Warehouse with 20 reviews while Snowflake Analytics is ranked 7th in Cloud Data Warehouse with 30 reviews. Amazon EMR is rated 7.8, while Snowflake Analytics is rated 8.4. The top reviewer of Amazon EMR writes "Provides efficient data processing features and has good scalability ". On the other hand, the top reviewer of Snowflake Analytics writes "A scalable tool useful for data lake and data mining processes". Amazon EMR is most compared with Snowflake, Cloudera Distribution for Hadoop, Azure Data Factory, Amazon Redshift and Apache Spark, whereas Snowflake Analytics is most compared with Azure Data Factory, Adobe Analytics, Mixpanel, Amplitude and Glassbox. See our Amazon EMR vs. Snowflake Analytics report.
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