TrustRadius

Amazon EMR (Elastic MapReduce)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon EMR
Score 8.6 out of 10
N/A
Amazon EMR is a cloud-native big data platform for processing vast amounts of data quickly, at scale. Using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi (Incubating), and Presto, coupled with the scalability of Amazon EC2 and scalable storage of Amazon S3, EMR gives analytical teams the engines and elasticity to run Petabyte-scale analysis.N/A
Pricing
Amazon EMR (Elastic MapReduce)
Editions & Modules
No answers on this topic
Offerings
Pricing Offerings
Amazon EMR
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details—
More Pricing Information
Community Pulse
Amazon EMR (Elastic MapReduce)
Considered Both Products
Amazon EMR
Verified User
Engineer
Chose Amazon EMR (Elastic MapReduce)
Snowflake is a lot easier to get started with than the other options. Snowflake's data lake building capabilities are far more powerful. Although Amazon EMR isn't our first pick, we've had an excellent experience with EC2 and S3. Because of our current API interfaces, it made …
Verified User
Engineer
Chose Amazon EMR (Elastic MapReduce)
1. Amazon EMR was faster than Google BigQuery and this made a difference when the amount of data was really large.
2. Amazon EMR was costlier than Google BigQuery so it was difficult to manage budget.
3. Amazon EMR has excellent integrations with other technologies.
Verified User
Employee
Chose Amazon EMR (Elastic MapReduce)
Amazon EMR (Elastic MapReduce) compares well against Microsoft Azure and Microsoft SQL servers in terms of performance and ease of use. This also means you pay more for the service. Amazon EMR is a great tool for handling large amounts of data. SQL Server would be a better …
Verified User
Employee
Chose Amazon EMR (Elastic MapReduce)
Compared to IBM Analytics Engine, Amazon EMR is a much cheaper option to get the work down. And compared to Alluxio, Amazon EMR is much more user-friendly. The drawback is that amazon EMR would be very costly if the run failed.
Verified User
Analyst
Chose Amazon EMR (Elastic MapReduce)
Good choice for startup, open source and cost-effective and saves a lot of setup time.
Run times are reduced to minutes compared to hours on EC2 or other compute servers.
Easy to choose between hadoop or spark based EMR cluster, it can be used in combination with other AWS …
Nick Waters | TrustRadius Reviewer
Nick Waters
Solutions Engineer
Chose Amazon EMR (Elastic MapReduce)
Amazon EMR (Elastic Map Reduce) compares well against GCP and Azure - but you need to be careful of the costs involved in spinning up such a cluster. It is easy to configure however and it is my preferred platform to deploy our solutions because of its ease of use.
Jonathan Brotto | TrustRadius Reviewer
Jonathan Brotto
SAP Specialist
Chose Amazon EMR (Elastic MapReduce)
Apache Hadoop required us to do all the leg work and we did not have the resources for that. It was ideal that AWS offers a MapReduce solution as we use it to host various servers. It is one place for all our needs. Very convenient. Apache Hadoop is still a good product but …
Verified User
Analyst
Chose Amazon EMR (Elastic MapReduce)
Compared to Databricks, Amazon EMR is a much cheaper option to get the work down. And compared to Amazon ec2, Amazon EMR is a much more powerful tool to get large datasets transformation down in a fairly short amount of time. The drawback is that amazon EMR would be very costly …
Verified User
Team Lead
Chose Amazon EMR (Elastic MapReduce)
Amazon EMR is faster, cheaper, easier, and enjoyed more by our employees compared to Azure HDInsight. We selected Amazon because we saw an advertisement and wanted to try it out to see how it was. We will continue to use it until it is not around or until we find something that …
Nicolas Costa Ossa | TrustRadius Reviewer
Nicolas Costa Ossa
Director of Customer Operations & Account Management
Chose Amazon EMR (Elastic MapReduce)
EMR is more suited for developers. Databricks feel more for data science-oriented with its notebooks and customs visualizations. With EMR you can more easily add additional capacity on-damnd on the instance. With others is a more cumbersome process. And then, you can also …
Thomas Young | TrustRadius Reviewer
Thomas Young
Owner, previous CEO
Chose Amazon EMR (Elastic MapReduce)
Perhaps the biggest advantage Amazon Elastic MapReduce has over competing big data management software is the user base. Elastic MapReduce, compliments of its connection with Amazon, has a large user base to whom questions about functionality can be addressed. The software also …
Verified User
Director
Chose Amazon EMR (Elastic MapReduce)
The alternatives to EMR are mainly hadoop distributions owned by the 3 companies above. I have not used the other distributions so it is difficult to comment, but the general tradeoff is, at the cost of a longer setup time and more infra management, you get more flexible …
Verified User
Engineer
Chose Amazon EMR (Elastic MapReduce)
Having one of these enterprise edition license comes at its own costs. But, the flexibility to have the cluster spin up with the workbenches and code snippets on the same is really beneficial. Especially, if one had to move out of EMR and consider an option which reduces the …
Verified User
Analyst
Chose Amazon EMR (Elastic MapReduce)
EMR provides dynamic cluster size, lots of documentation, and integration with other Amazon Web Services which are some of the things that Cloudera distribution for Hadoop lacked. Some products are hard to learn but EMR was much easier and helped save time spent on trying to …
Top Pros
Top Cons
Best Alternatives
Amazon EMR (Elastic MapReduce)
Small Businesses

No answers on this topic

Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.7 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 8.8 out of 10
All AlternativesView all alternatives
User Ratings
Amazon EMR (Elastic MapReduce)
Likelihood to Recommend
8.4
(19 ratings)
Usability
8.3
(3 ratings)
Support Rating
9.0
(3 ratings)
User Testimonials
Amazon EMR (Elastic MapReduce)
Likelihood to Recommend
Amazon AWS
We are running it to perform preparation which takes a few hours on EC2 to be running on a spark-based EMR cluster to total the preparation inside minutes rather than a few hours. Ease of utilization and capacity to select from either Hadoop or spark. Processing time diminishes from 5-8 hours to 25-30 minutes compared with the Ec2 occurrence and more in a few cases.
José David Rodríguez Gómez | TrustRadius Reviewer
José David Rodríguez Gómez
Director Nacional. Desarrollo de red, procesos y servicio al cliente Posventa
Read full review
Pros
Amazon AWS
  • Amazon Elastic MapReduce works well for managing analyses that use multiple tools, such as Hadoop and Spark. If it were not for the fact that we use multiple tools, there would be less need for MapReduce.
  • MapReduce is always on. I've never had a problem getting data analyses to run on the system. It's simple to set up data mining projects.
  • Amazon Elastic MapReduce has no problems dealing with very large data sets. It processes them just fine. With that said, the outputs don't come instantaneously. It takes time.
Thomas Young | TrustRadius Reviewer
Thomas Young
Owner, previous CEO
Read full review
Cons
Amazon AWS
  • Sometimes bootstrapping certain tools comes with debugging costs. The tools provided by some of the enterprise editions are great compared to EMR.
  • Like some of the enterprise editions EMR does not provide on premises options.
  • No UI client for saving the workbooks or code snippets. Everything has to go through submitting process. Not really convenient for tracking the job as well.
Verified User
Anonymous
Read full review
Usability
Amazon AWS
I give Amazon EMR this rating because while it is great at simplifying running big data frameworks, providing the Amazon EMR highlights, product details, and pricing information, and analyzing vast amounts of data, it can be run slow, freeze and glitch sometimes. So overall Amazon EMR is pretty good to use other than some basic issues.
Verified User
Anonymous
Read full review
Support Rating
Amazon AWS
There's a vast group of trained and certified (by AWS) professionals ready to work for anyone that needs to implement, configure or fix EMR. There's also a great amount of documentation that is accessible to anyone who's trying to learn this. And there's also always the help of AWS itself. They have people ready to help you analyze your needs and then make a recommendation.
Nicolas Costa Ossa | TrustRadius Reviewer
Nicolas Costa Ossa
Director of Customer Operations & Account Management
Read full review
Alternatives Considered
Amazon AWS
Snowflake is a lot easier to get started with than the other options. Snowflake's data lake building capabilities are far more powerful. Although Amazon EMR isn't our first pick, we've had an excellent experience with EC2 and S3. Because of our current API interfaces, it made more sense for us to continue with Hadoop rather than explore other options.
Verified User
Anonymous
Read full review
Return on Investment
Amazon AWS
  • Positive: Helped process the jobs amazingly fast.
  • Positive: Did not have to spend much time to learn the system, therefore, saving valuable research time.
  • Negative: Not flexible for some scenarios, like when some plugins are required, or when the project has to be moved in-house.
Verified User
Anonymous
Read full review
ScreenShots