Compare Apache Spark Streaming vs. Azure Stream Analytics

Apache Spark Streaming is ranked 10th in Streaming Analytics while Azure Stream Analytics is ranked 3rd in Streaming Analytics with 1 review. Apache Spark Streaming 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". Apache Spark Streaming is most compared with Amazon Kinesis, Azure Stream Analytics and Spring Cloud Data Flow, whereas Azure Stream Analytics is most compared with Apache Spark, Apache NiFi and Apache Flink.
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Ranking
10th
out of 28 in Streaming Analytics
Views
1,192
Comparisons
1,147
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
3rd
out of 28 in Streaming Analytics
Views
4,003
Comparisons
3,429
Reviews
1
Average Words per Review
715
Avg. Rating
8.0
Top Comparisons
Also Known As
Spark StreamingASA
Learn
Apache
Microsoft
Overview

Spark Streaming makes it easy to build scalable fault-tolerant streaming applications.

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 Apache Spark Streaming
Learn more about Azure Stream Analytics
Sample Customers
Information Not Available
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
Software R&D Company48%
Media Company13%
Retailer11%
Comms Service Provider6%
VISITORS READING REVIEWS
Software R&D Company43%
Comms Service Provider11%
Media Company7%
Retailer7%
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.