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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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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

(36)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Integration Capabilities: Users have praised the platform for its seamless integration with Azure Datafactory and Azure Management API, facilitating deployment from powershell, API, ADFv2, and other Azure Resources. This versatile integration enhances workflow efficiency by allowing users to easily access and utilize various Azure tools within the platform.

Cost-Effective Scalability: Reviewers have expressed satisfaction with the platform's cost-effectiveness in creating and deleting dynamically on-demand clusters. By offering a budget-friendly solution for scaling operations as needed, businesses can efficiently manage resources without incurring high costs or unnecessary expenses.

Efficient Data Management: Customers appreciate the platform's efficient data management features that ensure proper organization and accessibility of data. The ability to retrieve data at any time without relying on outdated storage methods like CD/DVDs or Pendrives simplifies workflows and promotes effective data analysis and utilization.

Instability and Cluster Creation Issues: Users have experienced instability for months, encountering various problems such as difficulty controlling resource escalation and costs, unreliable on-demand clusters, and frequent cluster creation failures. These ongoing issues have hindered user workflows and led to frustration with the platform's operational reliability.

Support Team Dissatisfaction: Users expressed dissatisfaction with the support team's performance, highlighting issues with responsiveness and effectiveness, as well as noting concerns about outdated software versions. Some users felt that the lack of timely assistance impacted their overall experience negatively and impeded their ability to address critical issues promptly.

Performance Challenges with Handling Data: Some users faced performance issues when handling large volumes of data, including concerns about cost implications and occasional challenges related to lower bandwidth capabilities. The limitations in handling high data volumes coupled with sporadic bandwidth difficulties have resulted in user frustrations over the system's overall efficiency.

Reviews

(1-6 of 6)
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A great tool for mid-size organizations, that would become a great tool for mid-big ones

Rating: 4 out of 10
May 01, 2024
Verified User
Vetted Review
Verified User
Azure HDInsight
3 years of experience
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.




totally friendly!

Rating: 9 out of 10
November 09, 2020
Verified User
Vetted Review
Verified User
Azure HDInsight
1 year of experience
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.

My Experience with Azure HDInsight

Rating: 9 out of 10
September 21, 2020
Verified User
Vetted Review
Verified User
Azure HDInsight
2 years of experience
Faster along with Pay for the service you used.
Extracting undiscovered information from big quantities of unstructured data was easy

The following insights were used in monitoring the Hadoop instance:

Disk Usage
Utilization of CPU
Cluster Load
Memory Used
Network Used
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