Fujitsu Interstage Big Data Complex Event Processing Server [EOL] vs IBM Streams comparison

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We performed a comparison between Fujitsu Interstage Big Data Complex Event Processing Server [EOL] and IBM Streams based on real PeerSpot user reviews.

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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 »
Ranking
Unranked
In Streaming Analytics
15th
out of 38 in Streaming Analytics
Views
678
Comparisons
598
Reviews
1
Average Words per Review
447
Rating
7.0
Comparisons
Also Known As
Interstage Big Data Complex Event Processing Server
IBM InfoSphere Streams
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Overview

Interstage Big Data Complex Event Processing Server is a complex event processing software platform that uses Fujitsu's proprietary high-speed filter technology to automatically scope large volumes of events and compare them with the system's master data files, thereby making it possible to quickly identify important events. Scoping rules for the high-speed filter can be defined using brief, easy-to-understand descriptions that include names and terminology used in normal operations.

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.
Sample Customers
Information Not Available
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
Top Industries
No Data Available
VISITORS READING REVIEWS
Financial Services Firm24%
Computer Software Company15%
Comms Service Provider6%
Government5%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business18%
Midsize Enterprise9%
Large Enterprise73%
Buyer's Guide
Streaming Analytics
March 2024
Find out what your peers are saying about Databricks, Amazon, Confluent and others in Streaming Analytics. Updated: March 2024.
765,386 professionals have used our research since 2012.

Fujitsu Interstage Big Data Complex Event Processing Server [EOL] doesn't meet the minimum requirements to be ranked in Streaming Analytics while IBM Streams is ranked 15th in Streaming Analytics with 5 reviews. Fujitsu Interstage Big Data Complex Event Processing Server [EOL] is rated 0.0, while IBM Streams is rated 8.2. On the other hand, the top reviewer of IBM Streams writes "A solution for data pipelines but has connector limitations". Fujitsu Interstage Big Data Complex Event Processing Server [EOL] is most compared with , whereas IBM Streams is most compared with Confluent, Azure Stream Analytics, Apache Spark, Apache Flink and Google Cloud Dataflow.

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