We performed a comparison between Amazon EMR and Apache Hadoop 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."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 solution is scalable."
"The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions."
"It has a variety of options and support systems."
"The initial setup is pretty straightforward."
"It allows users to access the data through a web interface."
"This is the best tool for hosts and it's really flexible and scalable."
"The initial setup is straightforward."
"It is a file system for data collection. There are nodes in this cluster that contain all the information, directories, and other files. The nodes are based on the MySQL database."
"The scalability of Apache Hadoop is very good."
"I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed."
"One valuable feature is that we can download data."
"It's good for storing historical data and handling analytics on a huge amount of data."
"The most valuable features are powerful tools for ingestion, as data is in multiple systems."
"As compared to Hive on MapReduce, Impala on MPP returns results of SQL queries in a fairly short amount of time, and is relatively fast when reading data into other platforms like R."
"What I like about Apache Hadoop is that it's for big data, in particular big data analysis, and it's the easier solution. I like the data processing feature for AI/ML use cases the most because some solutions allow me to collect data from relational databases, while Hadoop provides me with more options for newer technologies."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"The problem for us is it starts very slow."
"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 product must add some of the latest technologies to provide more flexibility to the users."
"The initial setup was time-consuming."
"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"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."
"Modules and strategies should be better handled and notified early in advance."
"The price could be better. I think we would use it more, but the company didn't want to pay for it. Hortonworks doesn't exist anymore, and Cloudera killed the free version of Hadoop."
"The solution is not easy to use. The solution should be easy to use and suitable for almost any case connected with the use of big data or working with large amounts of data."
"The integration with Apache Hadoop with lots of different techniques within your business can be a challenge."
"In certain cases, the configurations for dealing with data skewness do not make any sense."
"From the Apache perspective or the open-source community, they need to add more capabilities to make life easier from a configuration and deployment perspective."
"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment."
"I would like to see more direct integration of visualization applications."
"It would be helpful to have more information on how to best apply this solution to smaller organizations, with less data, and grow the data lake."
Amazon EMR is ranked 9th in Cloud Data Warehouse with 20 reviews while Apache Hadoop is ranked 5th in Data Warehouse with 32 reviews. Amazon EMR is rated 7.8, while Apache Hadoop is rated 7.8. The top reviewer of Amazon EMR writes "Provides efficient data processing features and has good scalability ". On the other hand, the top reviewer of Apache Hadoop writes "A file system for data collection that contains needed information and files". Amazon EMR is most compared with Snowflake, Cloudera Distribution for Hadoop, Azure Data Factory, Amazon Redshift and Apache Spark, whereas Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and Teradata. See our Amazon EMR vs. Apache Hadoop 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.
