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Azure HDInsight

Azure HDInsight


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
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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Reviewer Pros & Cons

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Product Demos

Demo Azure HDInsight auf Linux


Using semi structured data like JSON with Hive on Azure HDInsight


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


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


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

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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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Reviews and Ratings


Attribute Ratings


(1-3 of 3)
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Score 4 out of 10
Vetted Review
Verified User
Azure HDInsight that's the main ETL and Data Processing platform of our company. It hosts all processes that generated the data we provide for our costumers, managed by ADF pipelines.
  • 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
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.

  • When our business started, it was a great value for a company with no tech experts
  • When business grow and data volumes also, problems started to arise: lots of on-demand clusters creations failed, cluster internal cluster crashed due to logs size (no way to limit them)
  • When business got really big, after having months of outage, we have to start looking for a new platform. It became ineffective in ROI.
Many times you just need spark performing fast and cheap. Azure HDInsight Includes lots of features and not required software. Also its libraries and runtime versions are pritty old. But, what is great Is you don't need to have an expert in your team and things -when work- performs always in the exact same way. Also, as I mentioned, for a starter that's a great ROI.
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!
I had a trial, was cool, but I found pointless to pay for solving issues in your platform. It just makes no sense, if that's something wrong on your size, you must pay, not me.
Additionally, the "architectural consulting" that's not of great help. When you need consulting hours from a Partner, there is a long way of paperwork to do.
NO, in a case we have to wait almost six months with the error happening once and once, asking for the same information with different engineers. Everything before to asume an Azure Platform issue, that was the true root cause of the reported issue.

And that's just one of the points that irritated more internal users.
No, sadly not. Support was always poor and escalation was many times stopped or almost locked.
Krishn Garg | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
HDInsight is used to help the Sales Department with processing analytics and managing large data. It is utilized by the Advertising and Sales Team and it addresses the problems of overall cost spend in google analytics. We definitely use the powerful query to translate high volume data into Excel in our company. The best thing is the high availability of Microsoft. Azure HDInsight makes it very easy to work with large scale data workloads in Hadoop, and it gives good benefits working on the top of the Azure data lakes.
  • Promote things that needed to be on top.
  • Current analytics changes.
  • As it's from Microsoft, it has high availability and support from Microsoft.
  • Easy transformation of high volume data.
  • Performance issue with large volume data.
  • Cost
For the current purpose, it fits best. Save other costs in analytics and transforming high volume data.
  • Meet business objectives.
  • Advertising events so save cost.
  • High availibility
Azure HD Insight is the one only used and it works well and serves its purpose. Azure Blob Storage could be an alternative, but if you really want to work on a large-scale workload, then HD analytics is best with Azure Data Lakes. PowerBI could be useful for small scale data stored on different services such as SharePoint and One Drive.
Well suited in advertising and marketing to serve the business purpose and best fit in the transformation of high volume data.
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.
October 13, 2016

HDInsight for Marketing

Kristin Page | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
HDInsight is being used with a company I currently consult for. Their marketing department needed help with analytics and managing large files/data and processing it all. It is only being utilized by the advertising and marketing department and it addresses problems that arise when we spend large amounts of money on Google Analytics, Facebook, Instagram, etc., and want to allocate the expenses.
  • 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.
For my purposes it is well suited, being marketing and advertising.
  • The positive impact is high for our overall business objective; which is to advertise our events, sales, and new merchandise. ROI cannot be compared.
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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