IBM Streams vs WSO2 Stream Processor comparison

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674 views|593 comparisons
100% willing to recommend
WSO2 Logo
176 views|154 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM Streams and WSO2 Stream Processor based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: April 2024).
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Questions from the Community
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.
Top Answer:the limited number of connectors. This shall be overcome with work-arounds or eventually buying additional connectors to complete the solution.
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 »
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Ranking
15th
out of 38 in Streaming Analytics
Views
674
Comparisons
593
Reviews
1
Average Words per Review
447
Rating
7.0
28th
out of 38 in Streaming Analytics
Views
176
Comparisons
154
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
IBM InfoSphere Streams
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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.

WSO2 Stream Processor is an open source, cloud native and lightweight stream processing platform that understands streaming SQL queries in order to capture, analyze, process and act on events in real time. This facilitates real-time streaming analytics and streaming data integration. With the product’s powerful streaming SQL, simple deployment, and ability to adapt to changes rapidly, enterprises can go to market faster and achieve greater ROI. Unlike other offerings, it provides a simple two-node deployment for high availability and scales beyond with its distributed deployment to cater to extremely high workloads.

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
Transport for London
Top Industries
VISITORS READING REVIEWS
Financial Services Firm23%
Computer Software Company15%
Comms Service Provider6%
Government6%
No Data Available
Company Size
VISITORS READING REVIEWS
Small Business18%
Midsize Enterprise10%
Large Enterprise72%
No Data Available
Buyer's Guide
Streaming Analytics
April 2024
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: April 2024.
767,847 professionals have used our research since 2012.

IBM Streams is ranked 15th in Streaming Analytics with 5 reviews while WSO2 Stream Processor is ranked 28th in Streaming Analytics. IBM Streams is rated 8.2, while WSO2 Stream Processor is rated 0.0. The top reviewer of IBM Streams writes "A solution for data pipelines but has connector limitations". On the other hand, IBM Streams is most compared with Confluent, Azure Stream Analytics, Apache Flink, Apache Spark and Apache NiFi, whereas WSO2 Stream Processor is most compared with Apache Flink.

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.