Azure HDInsight Reviews and Ratings

Rating: 6.6 out of 10

Score

6.6 out of 10

Community insights

TrustRadius Insights for Azure HDInsight are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

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 The ability to retrieve data at any time without relying on outdated storage methods like CD/DVDs or Pendrives simplifies workflows and promotes effective data analysis and utilization.

Reviews

6 Reviews

A great tool for mid-size organizations, that would become a great tool for mid-big ones

Rating: 4 out of 10

Incentivized

May 1, 2024

Use Cases and Deployment Scope

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.

Pros

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

Cons

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Outdated software in the clusters (almost out of support Python versions)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

Likelihood to Recommend

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.

Verified User

Employee in Research & Development (51-200 employees)

Vetted Review

3 years of experience

totally friendly!

Rating: 9 out of 10

Incentivized

November 9, 2020

Use Cases and Deployment Scope

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.

Pros

It's scalable.
It's from Microsoft so it's friendly to use.
Data is available when you need it.

Cons

Performance with high volume of data.

Likelihood to Recommend

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.

Verified User

Consultant in Information Technology (501-1000 employees)

Vetted Review

1 year of experience

Azure HDInsight provide good toll for data management

Rating: 10 out of 10

Incentivized

October 19, 2020

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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.

Likelihood to Recommend

Why do you need legacy hard drives and storage and other software to present the data when Azure can manage it efficiently and is always available on-demand?

Verified User

Engineer in Information Technology (10,001+ employees)

Vetted Review

1 year of experience

Best tool for advertising and marketing

Rating: 8 out of 10

Incentivized

September 29, 2020

Use Cases and Deployment Scope

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.

Pros

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.

Cons

Performance issue with large volume data.
Cost

Likelihood to Recommend

For the current purpose, it fits best. Save other costs in analytics and transforming high volume data.

Krishn Garg

SharePoint Development Consultant in Information Technology at Infosys (10,001+ employees)

Vetted Review

2 years of experience

View profile

My Experience with Azure HDInsight

Rating: 9 out of 10

Incentivized

September 21, 2020

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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.

Likelihood to Recommend

Faster along with Pay for the service you used.

Extracting undiscovered information from big quantities of unstructured data was easy

<div>The following insights were used in monitoring the Hadoop instance:</div><div>

</div><div>Disk Usage</div><div>Utilization of CPU</div><div>Cluster Load</div><div>Memory Used</div><div>Network Used</div>

Verified User

Team Lead in Information Technology (10,001+ employees)

Vetted Review

2 years of experience

HDInsight for Marketing

Rating: 9 out of 10

Incentivized

October 13, 2016

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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.

Likelihood to Recommend

For my purposes it is well suited, being marketing and advertising.

Kristin Page

Senior Recruiter in Professional Services at Valeo Resources (11-50 employees)

Vetted Review

1 year of experience

View profile

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Reviews and Ratings

A great tool for mid-size organizations, that would become a great tool for mid-big ones

Rating: 4 out of 10

Incentivized

May 1, 2024

Use Cases and Deployment Scope

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.

Pros

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

Cons

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

Likelihood to Recommend

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.

Verified User

Employee in Research & Development (51-200 employees)

Vetted Review

3 years of experience