Compare Apache Spark vs. Azure Stream Analytics

Apache Spark is ranked 1st in Hadoop with 7 reviews while Azure Stream Analytics is ranked 1st in Streaming Analytics with 1 review. Apache Spark is rated 8.0, while Azure Stream Analytics is rated 8.0. The top reviewer of Apache Spark writes "Fast performance and has an easy initial setup". 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 is most compared with Spring Boot, AWS Lambda and Azure Stream Analytics, whereas Azure Stream Analytics is most compared with Apache Spark, Apache NiFi and Apache Flink.
Cancel
You must select at least 2 products to compare!
Most Helpful Review
Use Azure Stream Analytics? Share your opinion.
Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: September 2019.
370,827 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:

report
Use our free recommendation engine to learn which Hadoop solutions are best for your needs.
370,827 professionals have used our research since 2012.
Ranking
1st
out of 24 in Hadoop
Views
11,333
Comparisons
9,306
Reviews
8
Average Words per Review
182
Avg. Rating
7.9
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 30% of the time.
Compared 12% of the time.
Also Known As
ASA
Learn
Apache
Microsoft
Overview

Spark provides programmers with an application programming interface centered on a data structure called the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. It was developed in response to limitations in the MapReduce cluster computing paradigm, which forces a particular linear dataflowstructure on distributed programs: MapReduce programs read input data from disk, map a function across the data, reduce the results of the map, and store reduction results on disk. Spark's RDDs function as a working set for distributed programs that offers a (deliberately) restricted form of distributed shared memory

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 Spark
Learn more about Azure Stream Analytics
Sample Customers
NASA JPL, UC Berkeley AMPLab, Amazon, eBay, Yahoo!, UC Santa Cruz, TripAdvisor, Taboola, Agile Lab, Art.com, Baidu, Alibaba Taobao, EURECOM, Hitachi SolutionsRockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
Top Industries
REVIEWERS
Financial Services Firm29%
Software R&D Company29%
Marketing Services Firm14%
Healthcare Company14%
VISITORS READING REVIEWS
Software R&D Company28%
Comms Service Provider12%
Financial Services Firm11%
Media Company9%
No Data Available
Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: September 2019.
370,827 professionals have used our research since 2012.
We monitor all Hadoop 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.
Sign Up with Email