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Azure HDInsight

Azure HDInsight

Overview

What is Azure HDInsight?

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.…

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Recent Reviews

totally friendly!

9 out of 10
November 09, 2020
Incentivized
Azure HDInsight is being used across the whole organization in 3 countries that work together. The solution is that the organization pay …
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Awards

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Reviewer Pros & Cons

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Product Demos

Demo Azure HDInsight auf Linux

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Using semi structured data like JSON with Hive on Azure HDInsight

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Drive higher utilization of Azure HDInsight clusters with Autoscale | Data Exposed

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Fine-grained security with Apache Ranger on HDInsight Kafka | Azure Friday

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HDInsight: Fast Interactive Queries with Hive on LLAP | Azure Friday

YouTube
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Product Details

What is Azure HDInsight?

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.

Azure HDInsight Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(37)

Attribute Ratings

Reviews

(1-6 of 6)
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Score 4 out of 10
Vetted Review
Verified User
Incentivized
  • Integration with Azure Datafactory
  • Integration with Azure Management API
  • Easy to deploy from powershell, API, ADFv2 and other Azure Resources
  • Cheap when creating and deleting dynamically on demand clusters
  • A high level of documentation
  • Some diagnostic tools
  • Instable for months, with freaky problems
  • By default generates huge logs that finally break the cluster
  • Difficult to control its resources escalation
  • Difficult to plan, monitor and limit its costs
  • On-Demand clusters are very unstable and untrustful
  • Cluster creation process fails often
  • Cost is huge and difficult to control / limit
  • Dead weight (and cost) of some products you will never use into the cluster (we just needed Spark and Hadoop)
  • Poor support team
  • Outdated software in the clusters (almost out of support Python versions)
  • Almost impossible to customize and adapt for our specific needs
November 09, 2020

totally friendly!

Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • It's scalable.
  • It's from Microsoft so it's friendly to use.
  • Data is available when you need it.
  • Performance with high volume of data.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • 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.
  • Sometimes, lower bandwidth faces some issues (Slow speed)
  • Something can be done about lower bandwidth capability as higher bandwidth may not be available at all the places.
  • But improvement will be there in the above capability I am sure as the technology evolves.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • The Hadoop cluster was built within minutes.
  • It is cost-effective to collect and store structured or unstructured data.
  • The flat network storage system technology offers a high-speed connection between nodes and blob storage system.
  • Had issues while using Azure ARM Templates for deployments.
  • The cost structure suited for high end temporary data analytics, rather than a traditional frequently queried data warehouse.
October 13, 2016

HDInsight for Marketing

Kristin Page | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Shows live changes in analytics. Shows you how social media is working for us. Since we promote weekly events this is something that we really need to pay attention to.
  • Azure in itself is very user-friendly, HDInsight is a great addition. For our purposes, we definitely also utilized the power query to translate data to Excel.
  • 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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