IBM Machine Learning for z/OS vs. InterSystems IRIS

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Machine Learning for z/OS
Score 9.9 out of 10
N/A
IBM Machine Learning for z/OS® brings AI to transactional applications on IBM zSystems. It can embed machine learning and deep learning models to deliver real-time insight, or inference every transaction with minimal impact to operational SLAs.N/A
InterSystems IRIS
Score 7.7 out of 10
N/A
InterSystems IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an open analytics platform. It is is the next generation of InterSystems' data management software. It includes…N/A
Pricing
IBM Machine Learning for z/OSInterSystems IRIS
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Machine Learning for z/OSInterSystems IRIS
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
IBM Machine Learning for z/OSInterSystems IRIS
Best Alternatives
IBM Machine Learning for z/OSInterSystems IRIS
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
Google Cloud SQL
Google Cloud SQL
Score 8.9 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Google Cloud SQL
Google Cloud SQL
Score 8.9 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
SAP IQ
SAP IQ
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM Machine Learning for z/OSInterSystems IRIS
Likelihood to Recommend
10.0
(0 ratings)
7.4
(0 ratings)
Likelihood to Renew
-
(0 ratings)
8.2
(0 ratings)
Usability
-
(0 ratings)
8.2
(0 ratings)
Support Rating
4.0
(0 ratings)
7.4
(0 ratings)
Implementation Rating
-
(0 ratings)
8.2
(0 ratings)
User Testimonials
IBM Machine Learning for z/OSInterSystems IRIS
Likelihood to Recommend
IBM Watson Machine Learning is an AI-based scalable self-learning model for any type of business. It can be used to help any company automate repetitive tasks, predict future trends, and make data-driven decisions. I used it to predict stock prices based on certain variables. It works well, cost me nothing, and gives me the ability to create my own AI-based models that I can use for any purpose.
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It is best suited in the scenario where a single interface is required for providing [a complete end-to-end] solution to the customers. You don't need [a] separate platform to write code or [perform] database operations. All you need is InterSystems IRIS software and you are done. You can also use analytics functionality which is one of the greatest [features] which many customers need for their solution[.]
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Pros
  • Good machine learning tool
  • Easy integration
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  • Connecting with mutliple vendor platforms and systems allowing us to consume and provide data as needed.
  • Allowed us to implement our own RESTful api engine to server data to our internal applications.
  • Setting up their recommendations for high availability allow us to perform server maintenance with minimal down time to our users.
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Cons
  • Proper usage of REST API documentation is missing.
  • Not localization friendly, cannot support regional or local language documents.
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  • Enhanced documentation, more comprehensive and user-friendly documentation, including detailed tutorials and examples
  • Improving compatibility and integrations with others programming languages
  • Introducing tools and techniques to optimize the performance of ObjectScript applications, such as profiling tools, performance monitoring utilities, and code optimization guidelines
  • A better compatibility with Python libraries
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Usability
No answers on this topic
The interface is very intuitive, the documentation is very good so it is not complicated to operate.
The security is complex, but you can create a special role to access and the user ONLY can operate with the part that it allows.
Also, you can examine the data very quick with the SQL Browser integrated.
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Support Rating
IBM had a hard time providing business level support. There were a lot of data scientists and technology experts but rarely a simple business person shows up. Also the way IBM operates IBM Consulting has competing priorities as compared to IBM Technology. This has resulted in a lot of confusion at the client's end.
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The InterSystems WRC has always been helpful and responsive. The folks I have spoken with are always understanding of our needs and questions and regardless of if the question is simple or complex we are always met with the same professionalism and helpfulness every time. I have no hesitations contacting InterSystems for help!
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Implementation Rating
No answers on this topic
Will done based on a proper planning, so this will makes execution more easier and better.
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Alternatives Considered
We have been using Microsoft Azure as a machine learning tool. But the challenges remain the same. These are all tools that you need a robust analysis before a decision on the tool. Unfortunately, the technology company cannot make that determination due to lack of core business understanding. Without that the project is doomed.
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Tibco was not originally planned to be used for HL7 Integrations and as such we had to create some very complicated processes in order for the messages to parse and validate appropriately. It was simply not built for this type of interoperability. Comparatively, InterSystems IRIS for Health (HealthConnect) has out of the box HL7 features that would parse messages, offer a variety of validation options, simplified data lookups and transformation and reduced the amount of time it took to develop connections with out vendor systems. InterSystems IRIS also allows one to push just single files into production at a time so there is less of a chance of us pushing something that should not be in production yet as our previous system was set up to with TIBCO deployments
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Return on Investment
  • Create secure business environment.
  • Save upto 90% of manual labor.
  • Improve my sales and marketing ROI.
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  • Very Fast and scalable software to deal with big data flow, safe and robust.
  • The studio IDE is quite old fashion and lacks a few facilities
  • amazing for complex data consumption, its milyi-model capability wich allows multiple different models for a single set of codes.
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ScreenShots