IBM Streams vs Oracle IT Analytics Cloud Service comparison

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674 views|593 comparisons
100% willing to recommend
Oracle Logo
45 views|32 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between IBM Streams and Oracle IT Analytics Cloud Service 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).
768,740 professionals have used our research since 2012.
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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
22nd
Views
45
Comparisons
32
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.

Oracle IT Analytics Cloud Service is a software-as-a-service solution that provides you with 360-degree insight into the performance, availability, and capacity of your applications and infrastructure investments. It enables line-ofbusiness executives, analysts, and administrators to make critical decisions about their IT operations based on comprehensive system and data analysis. Organizations can now become more proactive by identifying systemic issues, analyzing resource usage across application tiers, and forecasting future demand for services based on historical performance trends.

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
Astute Business Solutions, Composers and Authors Society of Singapore
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
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: April 2024.
768,740 professionals have used our research since 2012.

IBM Streams is ranked 15th in Streaming Analytics with 5 reviews while Oracle IT Analytics Cloud Service is ranked 22nd in IT Operations Analytics. IBM Streams is rated 8.2, while Oracle IT Analytics Cloud Service 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 Oracle IT Analytics Cloud Service writes "Provides great data on business growth as well as analytics for future business planning ". IBM Streams is most compared with Confluent, Azure Stream Analytics, Apache Flink, Apache Spark and Apache NiFi, whereas Oracle IT Analytics Cloud Service is most compared with .

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.