IBM Streams vs Oracle Compute Cloud Service comparison

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644 views|569 comparisons
100% willing to recommend
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513 views|481 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM Streams and Oracle Compute Cloud Service based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Databricks, Microsoft and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: April 2024).
770,292 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
644
Comparisons
569
Reviews
1
Average Words per Review
447
Rating
7.0
12th
out of 16 in Compute Service
Views
513
Comparisons
481
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 Compute Cloud Service is an infrastructure as a service (IaaS) offering that provides flexible and scalable computing, block storage, and networking services on Oracle Cloud. You can now set up and manage your computing and storage workloads in the cloud, on demand, using a self-service portal. You'll significantly reduce your computing costs and increase your business efficiency and agility. Use Oracle Compute Cloud Service to migrate your on-premises workloads to the cloud and reap the many cloud benefits.

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
LogOn Consulting, Molecular Dynamics
Top Industries
VISITORS READING REVIEWS
Financial Services Firm23%
Computer Software Company15%
Comms Service Provider6%
Healthcare Company5%
VISITORS READING REVIEWS
Computer Software Company14%
Healthcare Company11%
Comms Service Provider10%
Insurance Company10%
Company Size
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise10%
Large Enterprise73%
VISITORS READING REVIEWS
Small Business30%
Midsize Enterprise11%
Large Enterprise59%
Buyer's Guide
Streaming Analytics
April 2024
Find out what your peers are saying about Amazon Web Services (AWS), Databricks, Microsoft and others in Streaming Analytics. Updated: April 2024.
770,292 professionals have used our research since 2012.

IBM Streams is ranked 15th in Streaming Analytics with 5 reviews while Oracle Compute Cloud Service is ranked 12th in Compute Service. IBM Streams is rated 8.2, while Oracle Compute Cloud Service 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, Apache Spark, Azure Stream Analytics, Apache Flink and Amazon MSK, whereas Oracle Compute Cloud Service is most compared with AWS Fargate, AWS Batch and Amazon EC2 Auto Scaling.

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.