A great tool for mid-size organizations, that would become a great tool for mid-big ones
Azure HDInsight that's the main ETL and Data Processing platform of our company. It hosts all processes that generated the data we provide …
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.…
Recent Reviews
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Reviewer Pros & Cons
Product Demos
Demo Azure HDInsight auf Linux
YouTube
Using semi structured data like JSON with Hive on Azure HDInsight
YouTube
Drive higher utilization of Azure HDInsight clusters with Autoscale | Data Exposed
YouTube
Fine-grained security with Apache Ranger on HDInsight Kafka | Azure Friday
YouTube
HDInsight: Fast Interactive Queries with Hive on LLAP | Azure Friday
YouTube
Product Details
- About
- Tech 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.
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 Systems | Unspecified |
|---|---|
| Mobile Application | No |
Comparisons
Compare with
Reviews and Ratings
(37)Attribute Ratings
Reviews
(1-5 of 5)Companies can't remove reviews or game the system. Here's why
May 01, 2024
A great tool for mid-size organizations, that would become a great tool for mid-big ones
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
- 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.
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.
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.
Yes
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.
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.
November 09, 2020
totally friendly!
Azure HDInsight is being used across the whole organization in 3 countries that work together. The solution is that the organization pay for what they use.
- 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.
- The impact is so far positive, the organization pays for the whole company in 3 countries.
October 19, 2020
Azure HDInsight provide good toll for data management
Azure HDInsight is used for managing data processing at TechnipFMC. Being a big company managing the data of thousands of users and customers is always a challenge. We can now access the past data and present data without being dependent on a hard drive or on some other PC.
- 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.
- ROI is of course there, as no legacy software for data presentation.
- No manual intervention for data retrieval.
- Data is available anywhere as requested.
September 29, 2020
Best tool for advertising and marketing
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
- 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.
September 21, 2020
My Experience with Azure HDInsight
It was used to create and manage Hadoop instance. Extracting undiscovered information from big quantities of unstructured data was easy. The Hadoop cluster was built within minutes.
- 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.
- Less implementation cost.
- No hosting services cost.
- Faster data retrieval.