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IBM Streams vs SAS Event Stream Processing comparison

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IBM Streams

Read 5 IBM Streams reviews
674 views|593 comparisons
100% willing to recommend
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SAS Event Stream Processing

Read 1 SAS Event Stream Processing review
244 views|148 comparisons
100% willing to recommend
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Buyer's Guide
Streaming Analytics
April 2024
Executive Summary

We performed a comparison between IBM Streams and SAS Event Stream Processing based on real PeerSpot user reviews.

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768,857 professionals have used our research since 2012.
Featured Review
Ahmed_Emad
A solution for data pipelines but has connector limitations
Quick deployments
Roi Jason Buela
A solution with useful windowing features and great for operations and marketing
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Questions from the Community
What is your experience regarding pricing and costs for IBM Streams?
Top Answer:The solution’s licenses pricing is different from one region to another region. I rate the solution’s pricing a seven out of ten.
What needs improvement with IBM Streams?
Top Answer:the limited number of connectors. This shall be overcome with work-arounds or eventually buying additional connectors to complete the solution.
What is your primary use case for IBM Streams?
Top Answer:We use the solution for data pipeline by modernizing the traditional ETL jobs done through advanced streaming. Another use case is building the g2g streaming platform, which facilitates data exchange… more »
What do you like most about SAS Event Stream Processing?
Top Answer:The solution is beneficial on an enterprise level.
What is your experience regarding pricing and costs for SAS Event Stream ...
Top Answer:Regarding licensing, I believe since it's on-premises, it's on a per-core basis annual basis. I think there is also an option to license per transaction. Licensing depends on the client and may vary.
What needs improvement with SAS Event Stream Processing?
Top Answer:The persistence could be better. Although ESP is designed for in-memory processing, it would be better if the solution is enhanced or improved on the persistence of the data that is kept in the… more »
Ranking
15th
out of 38 in Streaming Analytics
Views
674
Comparisons
593
Reviews
1
Average Words per Review
447
Rating
7.0
14th
out of 38 in Streaming Analytics
Views
244
Comparisons
148
Reviews
1
Average Words per Review
550
Rating
8.0
Comparisons
Also Known As
IBM InfoSphere Streams
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IBM
SAS
Overview
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.

Artificial intelligence and machine learning are the most transformative technologies of our time, and SAS is more committed than ever to investing in its potential to move humanity forward.

Sample Customers
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
Honda, HSBC, Lufthansa, Nestle, 89Degrees.
Top Industries
VISITORS READING REVIEWS
Financial Services Firm24%
Computer Software Company15%
Comms Service Provider6%
Real Estate/Law Firm5%
No Data Available
Company Size
VISITORS READING REVIEWS
Small Business18%
Midsize Enterprise10%
Large Enterprise72%
No Data Available
Buyer's Guide
Streaming Analytics
April 2024
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768,857 professionals have used our research since 2012.

IBM Streams is ranked 15th in Streaming Analytics with 5 reviews while SAS Event Stream Processing is ranked 14th in Streaming Analytics with 1 review. IBM Streams is rated 8.2, while SAS Event Stream Processing is rated 8.0. The top reviewer of IBM Streams writes "A solution for data pipelines but has connector limitations". On the other hand, the top reviewer of SAS Event Stream Processing writes "A solution with useful windowing features and great for operations and marketing". IBM Streams is most compared with Confluent, Azure Stream Analytics, Apache Flink, Apache Spark and Apache NiFi, whereas SAS Event Stream Processing is most compared with Apache Spark Streaming and Apache Flink.

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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.