Amazon Athena vs. Azure HDInsight

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Athena
Score 7.9 out of 10
N/A
Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon S3 using standard SQL. With a few clicks in the AWS Management Console, customers can point Athena at their data stored in S3 and begin using standard SQL to run ad-hoc queries and get results in seconds. Athena is serverless, so there is no infrastructure to setup or manage, and customers pay only for the queries they run. You can use Athena to process logs, perform ad-hoc analysis, and run…
$5
per TB of Data Scanned
Azure HDInsight
Score 8.1 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 AthenaAzure HDInsight
Editions & Modules
Price per Query
$5.00
per TB of Data Scanned
No answers on this topic
Offerings
Pricing Offerings
Amazon AthenaAzure 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 AthenaAzure HDInsight
Features
Amazon AthenaAzure HDInsight
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Amazon Athena
8.6
4 Ratings
1% above category average
Azure HDInsight
-
Ratings
Automatic software patching8.22 Ratings00 Ratings
Database scalability9.03 Ratings00 Ratings
Automated backups7.73 Ratings00 Ratings
Database security provisions9.22 Ratings00 Ratings
Monitoring and metrics8.04 Ratings00 Ratings
Automatic host deployment9.22 Ratings00 Ratings
Best Alternatives
Amazon AthenaAzure HDInsight
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10

No answers on this topic

Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
IBM Analytics Engine
IBM Analytics Engine
Score 7.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon AthenaAzure HDInsight
Likelihood to Recommend
10.0
(4 ratings)
4.0
(6 ratings)
Usability
10.0
(1 ratings)
8.9
(4 ratings)
Support Rating
-
(0 ratings)
1.0
(5 ratings)
User Testimonials
Amazon AthenaAzure HDInsight
Likelihood to Recommend
Amazon AWS
If you are looking to take a lot of the traditional "database administration" work off someone's plate, going with Amazon Athena certainly has "no code" options to optimize lots of database tasks. I would say this option is less appropriate if you have other Microsoft things at play, such as Power BI.
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Microsoft
Well suited: A tiny-mid sized company with no immediate plans of growing the volume of their data processing, that can afford long response times from support. Also it helps if you are not prone to put your hands on Linux and Spark configuration. In fact, it can make things go really faster if you also work with the bundle-in Jupyter. And, if you need to perform some diagnostics and / or administrative tasks, that's full of tools to find an understand the Root Cause. Ideal for non experts. Less appropriate: Big Data company, intense on demand cluster creation, mission critical, costs reduction, latest versions of libraries required, sophisticate customizations required.
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Pros
Amazon AWS
  • Nested Schemas like JSON data structure
  • Ability to adapt the data model to fit your queries better
  • Performance Improvement
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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
  • Response caching can be improved.
  • Data Partitioning is tricky and understanding of the same could be improved.
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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
Easy to use. Scalable. Gets the job of data warehousing setup done. Using the datalake on S3 has become super convenient.
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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
No answers on this topic
Microsoft
Inexpert, isolated teams... not good for support an excessively complex platform. Lots of weeks or months for a complex problem troubleshoot. Many time lost stuck on MindTree, before the case was finally escalated with Microsoft!
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Alternatives Considered
Amazon AWS
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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
  • The query speeds help us make more decisions in a day (speed).
  • If you need more horsepower for specific times in the day this option helps scale.
  • The security of your environment is well protected too.
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Microsoft
  • ROI is of course there, as no legacy software for data presentation.
  • No manual intervention for data retrieval.
  • Data is available anywhere as requested.
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ScreenShots