We just raised a $30M Series A: Read our story

Compare Apache Storm vs. Azure Stream Analytics

Cancel
You must select at least 2 products to compare!
Apache Storm Logo
1,506 views|1,286 comparisons
Azure Stream Analytics Logo
7,843 views|6,841 comparisons
Featured Review
Find out what your peers are saying about Apache, Amazon, Zadara and others in Compute Service. Updated: November 2021.
555,139 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pricing and Cost Advice
Information Not Available
"The cost of this solution is less than competitors such as Amazon or Google Cloud."

More Azure Stream Analytics Pricing and Cost Advice »

report
Use our free recommendation engine to learn which Compute Service solutions are best for your needs.
555,139 professionals have used our research since 2012.
Questions from the Community
Ask a question

Earn 20 points

Top Answer: Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their… more »
Top Answer: In terms of pricing, you can't compare it to open source solutions. It would be higher compared to open source, of course, however, with the support and everything you're getting, I would say the… more »
Top Answer: With Azure specifically, the drawback is it is a very Azure-specific product. You can't connect it to external things out of Azure. For example, Spark or Databricks can be used in any cloud and can be… more »
Ranking
9th
out of 14 in Compute Service
Views
1,506
Comparisons
1,286
Reviews
0
Average Words per Review
0
Rating
N/A
4th
out of 38 in Streaming Analytics
Views
7,843
Comparisons
6,841
Reviews
7
Average Words per Review
784
Rating
8.0
Comparisons
Also Known As
ASA
Learn More
Overview
Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple and can be used with any programming language.
AzureStream Analytics is a fully managed event-processing engine that lets you set up real-time analytic computations on streaming data.The data can come from devices, sensors, web sites, social media feeds, applications, infrastructure systems, and more.
Offer
Learn more about Apache Storm
Learn more about Azure Stream Analytics
Sample Customers
Groupon, Spotify, The Weather Channel, Twitter, FullContact
Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
Top Industries
VISITORS READING REVIEWS
Computer Software Company25%
Comms Service Provider20%
Financial Services Firm8%
Educational Organization7%
VISITORS READING REVIEWS
Computer Software Company29%
Comms Service Provider20%
Energy/Utilities Company6%
Financial Services Firm5%
Company Size
No Data Available
REVIEWERS
Small Business29%
Midsize Enterprise14%
Large Enterprise57%
Find out what your peers are saying about Apache, Amazon, Zadara and others in Compute Service. Updated: November 2021.
555,139 professionals have used our research since 2012.

Apache Storm is ranked 9th in Compute Service while Azure Stream Analytics is ranked 4th in Streaming Analytics with 7 reviews. Apache Storm is rated 0.0, while Azure Stream Analytics is rated 8.0. On the other hand, the top reviewer of Azure Stream Analytics writes "A serverless scalable event processing engine with a valuable IoT feature". Apache Storm is most compared with Apache NiFi, AWS Lambda, Google Cloud Dataflow, StackStorm and IBM Streams, whereas Azure Stream Analytics is most compared with Databricks, Apache Spark, Apache Flink, Apache Spark Streaming and Oracle Compute Cloud Service.

We monitor all Compute Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.