Azure HDInsight vs. Azure Stream Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure HDInsight
Score 7.4 out of 10
N/A
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.N/A
Azure Stream Analytics
Score 8.0 out of 10
N/A
Microsoft offers Azure Stream Analytics for IoT and connected devices, supporting real-time analytics and reporting.
$0.11
per hour with a 1 SU minimum
Pricing
Azure HDInsightAzure Stream Analytics
Editions & Modules
No answers on this topic
Standard
$0.11
per hour with a 1 SU minimum
Dedicated
$0.11
per hour with a 36 SU minimum
Offerings
Pricing Offerings
Azure HDInsightAzure Stream Analytics
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsAzure Stream Analytics is priced by the number of Streaming Units provisioned. A Streaming Unit represents the amount of memory and compute allocated to your resources.
More Pricing Information
Community Pulse
Azure HDInsightAzure Stream Analytics
Features
Azure HDInsightAzure Stream Analytics
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Azure HDInsight
-
Ratings
Azure Stream Analytics
6.1
1 Ratings
27% below category average
Real-Time Data Analysis00 Ratings7.01 Ratings
Data Ingestion from Multiple Data Sources00 Ratings7.01 Ratings
Low Latency00 Ratings8.01 Ratings
Integrated Development Tools00 Ratings2.01 Ratings
Data wrangling and preparation00 Ratings7.01 Ratings
Linear Scale-Out00 Ratings5.01 Ratings
Data Enrichment00 Ratings7.01 Ratings
Best Alternatives
Azure HDInsightAzure Stream Analytics
Small Businesses

No answers on this topic

IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Confluent
Confluent
Score 9.2 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 7.2 out of 10
Spotfire Streaming
Spotfire Streaming
Score 5.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure HDInsightAzure Stream Analytics
Likelihood to Recommend
4.0
(6 ratings)
7.0
(1 ratings)
Usability
8.9
(4 ratings)
-
(0 ratings)
Support Rating
1.0
(5 ratings)
-
(0 ratings)
User Testimonials
Azure HDInsightAzure Stream Analytics
Likelihood to Recommend
Microsoft
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.
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Microsoft
Data enrichment is effectively done in stream analytics also checking the values with different functionality like windowing and group by clause is effectively working.
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Pros
Microsoft
  • 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.
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Microsoft
  • Routing of data from multiple inputs to multiple output
  • You create your own user define function.
  • Intermediate query is working very effectively.
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Cons
Microsoft
  • 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.
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Microsoft
  • Code competency is not that much effective
  • Ml models can't be integrated with stream analytics
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Usability
Microsoft
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.
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Microsoft
No answers on this topic
Support Rating
Microsoft
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!
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Microsoft
No answers on this topic
Alternatives Considered
Microsoft
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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Microsoft
Azure Stream Analytics is easy to implement and also to integrate compare to other services like iot analytics
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Return on Investment
Microsoft
  • ROI is of course there, as no legacy software for data presentation.
  • No manual intervention for data retrieval.
  • Data is available anywhere as requested.
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Microsoft
  • Very nice roi while using it.
  • Multiple integration is the best functionality
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ScreenShots