Amazon EMR (Elastic MapReduce) vs. Azure HDInsight

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
Azure HDInsight
Score 5.0 out of 10
N/A
HDInsight is an implementation of the Apache Hadoop technology stack on the Microsoft Azure cloud platform: It is based on the Hortonworks Hadoop distribution. Microsoft Azure HDInsight includes implementations of Apache Spark, HBase, Storm, Pig, Hive, Sqoop, Oozie, Ambari, etc. It also integrates with with business intelligence (BI) tools such as Power BI, Excel, SQL Server Analysis Services, and SQL Server Reporting Services.N/A
Pricing
Amazon EMR (Elastic MapReduce)Azure HDInsight
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Amazon EMRAzure HDInsight
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Amazon EMR (Elastic MapReduce)Azure HDInsight
Considered Both Products
Amazon EMR
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 …
Azure HDInsight

No answer on this topic

Top Pros
Top Cons
Best Alternatives
Amazon EMR (Elastic MapReduce)Azure HDInsight
Small Businesses

No answers on this topic

No answers on this topic

Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.7 out of 10
Cloudera Manager
Cloudera Manager
Score 9.7 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 8.8 out of 10
IBM Analytics Engine
IBM Analytics Engine
Score 8.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon EMR (Elastic MapReduce)Azure HDInsight
Likelihood to Recommend
8.4
(19 ratings)
9.1
(5 ratings)
Usability
8.3
(3 ratings)
8.9
(4 ratings)
Support Rating
9.0
(3 ratings)
8.9
(4 ratings)
User Testimonials
Amazon EMR (Elastic MapReduce)Azure HDInsight
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.
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Microsoft
If you want to save costs and just pay for what you use, I highly recommend it. It will help you also to work with data for your reports and analytics. on the other hand I think it could be the subscription you have but high volume of data make it slow but not so much. anyway I think it's really good because it's from Microsoft which always is friendly to use it as all the suit they have.
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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.
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Microsoft
  • Data is presented without interfering others (IT or other dept).
  • Data is managed properly and is available for retrievable any time.
  • Legacy use of CD/DVD and Pendrive are not required.
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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.
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Microsoft
  • The only problem I have come across is when loading large volumes of data I sometimes get an error message, I assume this means something is corrupt from within. I would love a way for this to be resolved without having to start over.
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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.
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Microsoft
Azure HDInsight is usable on the top of Azure Data Lake and gives us the benefit of analyzing large scale data workload in Hadoop. Usability and support from Microsoft are outstanding.
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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.
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Microsoft
I highly recommend it.
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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.
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Microsoft
At this time I have not used any other similar products... I am open to it but Azure HDInsight and its components really work well for our organization.
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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.
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Microsoft
  • Less implementation cost.
  • No hosting services cost.
  • Faster data retrieval.
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