Azure HDInsight

3.8
(10)

HDInsight is a fully-managed cloud Hadoop offering that provides optimized open source analytic clusters for Spark, Hive, MapReduce, HBase, Storm, Kafka, and R Server backed by a 99.9% SLA.

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Azure HDInsight Reviews

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Showing 10 Azure HDInsight reviews
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Azure HDInsight review by Ruben A.
Ruben A.
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"Very Basic Features of Azure HDInsight"

What do you like best?

What I like most is that the Hadoop Cluster in the cloud, composed of head and worker nodes with the resource manager YARN, has HDFS storage. The processing is composed of head and worker nodes with the resource manager YARN, also has storage in Windows Azure Storage Blob (WASB), Azure Data Lake Store (WebHDFS, ADL), uses the Hortonworks distribution and includes Hive, Pig, Storm, Spark among others.

What do you dislike?

What I dislike is that there is no suspension of the HDInsight cluster.

deploy the cluster, the solution is, do the work and then eliminate it to avoid unnecessary charges.

Recommendations to others considering the product

I highly recommend it, it has the peculiarity that it can be deployed from the Azure portal, it is easy to create and eliminate, excellent.

What business problems are you solving with the product? What benefits have you realized?

Among the benefits is the automatic cluster layout and configuration, it has cluster scaling, it also changes the number of nodes without deleting to eliminate or recreate the cluster, it has high availability and reliability, it has a managed solution, HDInsight includes a secondary head node

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Azure HDInsight review by Naresh G.
Naresh G.
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"Azure makes bigdata engineer life easier"

What do you like best?

Azure platform is a place where almost we can find everything that are required for a typical data engineer work. And the most amazing part of azure is having HDInsight (HDP cluster) and Databricks at one place with various eco system noteobooks like Jupyter, Zeppelin etc which makes the Data Scientist job easier.

Also, another amazing part with Azure is storing data in a blob storage and exploring the metadata of various sources using data catalog.

What do you dislike?

There is nothing much to say, but still the way to interact with various components can be made easier to the end user.

Recommendations to others considering the product

Teams who want to have a cost effective quick solution and for building data pipelines or ingestion platforms can go with azure with very less resources.

What business problems are you solving with the product? What benefits have you realized?

Building data ingestion platform and data pipelines using spark and doing ETL as per the business requirements

What Big Data Processing and Distribution solution do you use?

Thanks for letting us know!
Azure HDInsight review by Calvin Loan X.
Calvin Loan X.
Validated Reviewer
Verified Current User
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"Hadoop Hive on Azure!"

What do you like best?

Azure has a tremendous selection of built-in deployment tool for virtual machines and servers in the cloud. The marketplace is divided into Compute, Networking, Storage, Web+Mobile, Databases, Intelligence/Analytics, IoE, Security, etc. For the sake of my project, Hadoop Hortonworks came standardized. Little setup and configuration is needed on the user side, other than choosing the amount of cpu/nodes you required and what the purposes of the VM will be. Customization can be done during the initial setup or after it's completed (for instance specifying an static IP address).

What do you dislike?

There were times that terminating (shutting down) a virtual machines did not succeed properly. In which case, the VM would still run in the background and you will continuously billed for the time that your server is running. I learned this the hard way and I would wait on the browser screen until the termination of the server is complete and then shut off the browser window.

What business problems are you solving with the product? What benefits have you realized?

I used an academic version of Microsoft Azure in conjunction with Hadoop Hortonworks to run an ETL Datawarehouse with an Tableau desktop application to visualize the data inputs for NYC high school graduation rates and SAT test scores. Ease of usage, relatively low maintenance cost and the ability to share the work space in a collaborative setting were excellent benefits.

Azure HDInsight review by User
User
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"Azure HDInsight Review"

What do you like best?

What I liked the most was the poly base and ease in aggregating raw data sets, it was easy to use and very helpful.

What do you dislike?

What I disliked the most was the cost point because it's prohibitive to use all the time, in other words, you can't use it 24/7

What business problems are you solving with the product? What benefits have you realized?

I used it for problems related to cost management, internal and operational efficiencies, to improve business processes as well as outcomes. The benefits I've had have been to work on these on an advanced manner when it comes to developing new data.

Azure HDInsight review by Pranamesh C.
Pranamesh C.
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"Effective for performing HDFS job in cloud"

What do you like best?

Simple to setup a cluster and use whenever is required.

What do you dislike?

It is very costly to run MapReduce jobs in cloud.

Recommendations to others considering the product

Use it if you want to implement your system in cloud.

What business problems are you solving with the product? What benefits have you realized?

We are using HDInsight for our traffic analytics and incident detection.

Azure HDInsight review by Consultant
Consultant
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"Easy to use but has some flaws"

What do you like best?

Azure is a fantastic platform for monitoring performance. Everything is right at your fingertips, and is easy to access.

What do you dislike?

It's a little training intensive. It usually took so long to teach clients how to use it that it was easier to simply control it for them.

Recommendations to others considering the product

Be ready for some intensive training for your admins. Otherwise this is a great product!

What business problems are you solving with the product? What benefits have you realized?

NA

Azure HDInsight review by User
User
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content

"Thinking without thought "

What do you like best?

If i had to be completely honest i love how the system allows me to be lazy.. it simply does all the work.

What do you dislike?

It takes a little while to get used to but that’s not really a negative

What business problems are you solving with the product? What benefits have you realized?

The system allows for more accurate information synthesis and analysis

Azure HDInsight review by Consultant in Information Technology and Services
Consultant in Information Technology and Services
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Business partner of the vendor or vendor's competitor, not included in G2 Crowd scores.

"HDInsigh"

What do you like best?

Great collection of open-source frameworks such as Hadoop, Spark, Hive, LLAP, Kafka, Storm, R, etc. Great ETL capability! Best cloud platform for IoT. Great flexible pricing.

What do you dislike?

Nothing in particular, but would like more built in tools for managed services.

Recommendations to others considering the product

Best cloud based bigdata platform.

What business problems are you solving with the product? What benefits have you realized?

IoT data analysis, data warehousing.

Azure HDInsight review by User
User
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content

"Fabulous software!"

What do you like best?

The software is cost-effective for my organization's open source analytics

What do you dislike?

Sometimes it lags, but it truly hasn't been a big deal

What business problems are you solving with the product? What benefits have you realized?

The software seamlessly processes large amounts of data and gets all the benefits of large open sourcing because of the global scale of Azure.

Azure HDInsight review by User
User
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"Great product when we used it "

What do you like best?

Awesome product for open source analytics.

Easy

Fast

What do you dislike?

If I had to say anything here it would be the cost for enterprise.

What business problems are you solving with the product? What benefits have you realized?

Data scenarios

Kate from G2 Crowd

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