We performed a comparison between Amazon EMR and Snowflake 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."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."
"The project management is very streamlined."
"The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions."
"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."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"The initial setup is pretty straightforward."
"Amazon EMR is a good solution that can be used to manage big data."
"Working with Parquet files is support out of the box and it makes large dataset processing much easier."
"The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power."
"The most valuable feature of Snowflake is it's an all-in-one data warehousing solution."
"The pricing is reasonable and matches the rest of the market."
"The solution is stable."
"It has great flexibility whenever we are loading data and performs ELT (extract, load, transform) techniques instead of ETL."
"The most valuable feature of Snowflake is its performance. We can access the data quickly. Additionally, it handles structured and non-structured data."
"The distributed architecture of Snowflake has the capacity to process huge datasets faster and allows us to scale up and down according to our needs."
"The problem for us is it starts very slow."
"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"There is no need to pay extra for third-party software."
"The initial setup was time-consuming."
"As people are shifting from legacy solutions to other technologies, Amazon EMR needs to add more features that give more flexibility in managing user data."
"The dashboard management could be better. Right now, it's lacking a bit."
"The product must add some of the latest technologies to provide more flexibility to the users."
"The product's features for storing data in static clusters could be better."
"It's not that flexible when compared to Oracle."
"The solution could improve by allowing non-structured data, such as PDFs, images, or videos. We cannot see the data."
"Sometimes it can be tricky to manage multiple environments if you're purely using Snowflake as your scripting and pipeline environment."
"Currently, Snowflake doesn't support unstructured data."
"Snowflake has to build more capabilities because they have only built very few adapters, but they're growing and they're building. They should provide provisions to collect ETL pipeline capabilities, reduce developer work, and make more rapid application development, rather than some customizations. There are very few options, but they are building. I hope they will build ETL rapid application development provisions with more variety."
"Every product has room for improvement, although in this case, it needs some broadening of the functionality."
"I would like to see a client version of the GUI."
"The price could be improved."
Amazon EMR is ranked 8th in Cloud Data Warehouse with 20 reviews while Snowflake is ranked 1st in Cloud Data Warehouse with 94 reviews. Amazon EMR is rated 7.8, while Snowflake 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 writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". Amazon EMR is most compared with Cloudera Distribution for Hadoop, Azure Data Factory, Amazon Redshift, Apache Spark and Microsoft Azure Synapse Analytics, whereas Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and Oracle Autonomous Data Warehouse. See our Amazon EMR vs. Snowflake report.
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