Compare Alooma vs. Azure Stream Analytics

Alooma is ranked 17th in Streaming Analytics while Azure Stream Analytics is ranked 1st in Streaming Analytics with 1 review. Alooma is rated 0, while Azure Stream Analytics is rated 8.0. On the other hand, the top reviewer of Azure Stream Analytics writes "Helps us focus on critical security issues, among our multiple systems". Alooma is most compared with Google Cloud Dataflow, Talend Data Streams and Amazon Kinesis, whereas Azure Stream Analytics is most compared with Apache Spark, Apache NiFi and Apache Flink.
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Alooma Logo
166 views|137 comparisons
Azure Stream Analytics Logo
3,327 views|2,828 comparisons
Quotes From Members

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Ranking
17th
out of 25 in Streaming Analytics
Views
166
Comparisons
137
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
1st
out of 25 in Streaming Analytics
Views
3,327
Comparisons
2,828
Reviews
1
Average Words per Review
710
Avg. Rating
8.0
Top Comparisons
Compared 46% of the time.
Compared 26% of the time.
Compared 17% of the time.
Also Known As
Alooma PlatformASA
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Alooma
Microsoft
Overview

Alooma enables data teams to have visibility and control. It brings data from your various data silos together to your data warehouse, all in real-time.

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.
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Learn more about Alooma
Learn more about Azure Stream Analytics
Sample Customers
Chatbooks, HotelTonight, InstaCart, Limebike, Nextel, OkCupid, Publicis, Sony, Strava, The New York Times, Vivint SolarRockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
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.
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