AWS Auto Scaling vs. IBM Integration Bus

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Auto Scaling
Score 8.8 out of 10
N/A
AWS Auto Scaling monitors applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. The vendor states that using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes.N/A
IBM Integration Bus
Score 9.9 out of 10
N/A
IBM Integration Bus, replacing the former WebSphere Message Broker, is used to connect applications together, regardless of the message formats or protocols that they support. This connectivity helps to ensure diverse applications can interact and exchange data with other applications in a flexible, dynamic, and extensible infrastructure.N/A
Pricing
AWS Auto ScalingIBM Integration Bus
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AWS Auto ScalingIBM Integration Bus
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AWS Auto ScalingIBM Integration Bus
Best Alternatives
AWS Auto ScalingIBM Integration Bus
Small Businesses
NGINX
NGINX
Score 9.1 out of 10

No answers on this topic

Medium-sized Companies
NGINX
NGINX
Score 9.1 out of 10
Anypoint Platform
Anypoint Platform
Score 7.9 out of 10
Enterprises
NGINX
NGINX
Score 9.1 out of 10
Anypoint Platform
Anypoint Platform
Score 7.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS Auto ScalingIBM Integration Bus
Likelihood to Recommend
8.8
(5 ratings)
7.0
(1 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
AWS Auto ScalingIBM Integration Bus
Likelihood to Recommend
Amazon AWS
It is well suited for scaling up our cloud virtual machines to handle the increase or decrease in workload. It really helps us to satisfy the demand because it doesn't take lot of time to spin up new machines. If there is unpredictability in the demand it is very useful. But it is a over kill if demand is consistent.
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IBM
Routing, protocol transformation, message transformation and service aggregation are very well performed by WebSphere Message Broker (WMB). It is not very suitable for integration with databases.
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Pros
Amazon AWS
  • Set policies to add more instances when CPU utilization exceeds.
  • Prevents downtime, as we don't need to stop the servers.
  • Auto Scaling group can be setup for different types of apps.
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IBM
  • Graphical data mapper
  • Support for different programming languages
  • Integration with MQ
  • Support for different parsers
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Cons
Amazon AWS
  • Update code and configuration when the number of servers is always changing
  • How will user-uploaded content make it to new servers
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IBM
  • Logging
  • Debugging
  • Code quality tools
  • Feature specific installation
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Usability
Amazon AWS
We use AWS auto scaling for scaling up our cloud virtual machines to handle the increase or decrease in workload. It really helps us to satisfy the demand because it doesn't take lot of time to spin up new machines. I gave the rating 10 because it really does help you to handle the sudden spike in number of requests.
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IBM
No answers on this topic
Alternatives Considered
Amazon AWS
Used for the below reasons:
  • Easy to implement and use
  • Pay per use, cost savings
  • Automate and build scaling plans
  • Automate performance and workload
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IBM
Websphere message broker supports a lot more protocols than any other similar tool.
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Return on Investment
Amazon AWS
  • optimized the cost effectiveness
  • save lot of money which help the organization to use it in effective areas
  • Not applicable for all use cases.It is specific use cases and business problems
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IBM
  • It helped us in improving the speed to market for our services/APIs.
  • Learning curve is quite long
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ScreenShots