Compare Azure Stream Analytics vs. IBM Streams

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Azure Stream Analytics Logo
6,947 views|6,040 comparisons
IBM Streams Logo
2,286 views|2,032 comparisons
Most Helpful Review
Find out what your peers are saying about Databricks, Solace, Amazon and others in Streaming Analytics. Updated: June 2021.
522,693 professionals have used our research since 2012.
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Pricing and Cost Advice
"The cost of this solution is less than competitors such as Amazon or Google Cloud."

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Questions from the Community
Top Answer: The product does have a free trial offer, however, it is much too short. It's only 14 days and that's not enough time to run a proper POC.
Top Answer: While it depends on the business scenario, in some cases AWS offers better features. It's hard to speak to missing features at it really depends on the business case. However, in general, it has all… more »
Top Answer: The company I'm working for is basically one of the biggest companies in the entire Gulf region, including Dubai, Qatar, and Oman. Our core domain is providing logistics. They have different… more »
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Ranking
5th
out of 35 in Streaming Analytics
Views
6,947
Comparisons
6,040
Reviews
5
Average Words per Review
744
Rating
8.2
12th
out of 35 in Streaming Analytics
Views
2,286
Comparisons
2,032
Reviews
0
Average Words per Review
0
Rating
N/A
Popular Comparisons
Also Known As
ASA
IBM InfoSphere Streams
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Overview
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.
IBM Streams is an advanced analytic platform that allows user-developed applications to quickly ingest, analyze and correlate information as it arrives from thousands of data stream sources. The solution can handle very high data throughput rates, up to millions of events or messages per second. Streams helps you analyze data in motion, simplify development of streaming applications, and extend the value of existing systems.
Offer
Learn more about Azure Stream Analytics
Learn more about IBM Streams
Sample Customers
Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
Globo TV, All England Lawn Tennis Club, CenterPoint Energy, Consolidated Communications Holdings, Darwin Ecosystem, Emory University Hospital, ICICI Securities, Irish Centre for Fetal and Neonatal Translational Research (INFANT), Living Roads, Mobileum, Optibus, Southern Ontario Smart Computing Innovation Platform (SOSCIP), University of Alberta, University of Montana, University of Ontario Institute of Technology, Wimbledon 2015
Top Industries
VISITORS READING REVIEWS
Computer Software Company29%
Comms Service Provider21%
Energy/Utilities Company7%
Manufacturing Company6%
VISITORS READING REVIEWS
Computer Software Company28%
Comms Service Provider14%
Financial Services Firm13%
Retailer6%
Find out what your peers are saying about Databricks, Solace, Amazon and others in Streaming Analytics. Updated: June 2021.
522,693 professionals have used our research since 2012.

Azure Stream Analytics is ranked 5th in Streaming Analytics with 5 reviews while IBM Streams is ranked 12th in Streaming Analytics. Azure Stream Analytics is rated 8.2, while IBM Streams is rated 0.0. The top reviewer of Azure Stream Analytics writes "A serverless scalable event processing engine with a valuable IoT feature". On the other hand, Azure Stream Analytics is most compared with Databricks, Apache Spark, Apache Flink, Apache Spark Streaming and Oracle Compute Cloud Service, whereas IBM Streams is most compared with Confluent, Apache NiFi, Google Cloud Dataflow, Apache Spark and Amazon Kinesis.

See our list of best Streaming Analytics vendors.

We monitor all Streaming Analytics 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.