IBM Cloud Databases vs. InterSystems IRIS

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Cloud Databases
Score 8.6 out of 10
N/A
IBM Cloud Databases are open source data stores for enterprise application development. Built on a Kubernetes foundation, they offer a database platform for serverless applications. They are designed to scale storage and compute resources seamlessly without being constrained by the limits of a single server. Natively integrated and available in the IBM Cloud console, these databases are now available through a consistent consumption, pricing, and interaction model. They aim to provide a cohesive…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 Cloud DatabasesInterSystems IRIS
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Cloud DatabasesInterSystems 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 Cloud DatabasesInterSystems IRIS
Features
IBM Cloud DatabasesInterSystems IRIS
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
IBM Cloud Databases
7.0
Ratings
21% below category average
InterSystems IRIS
-
Ratings
Automatic software patching8.50 Ratings00 Ratings
Database scalability8.50 Ratings00 Ratings
Automated backups6.80 Ratings00 Ratings
Database security provisions8.70 Ratings00 Ratings
Monitoring and metrics4.20 Ratings00 Ratings
Automatic host deployment5.20 Ratings00 Ratings
Best Alternatives
IBM Cloud DatabasesInterSystems IRIS
Small Businesses
IBM Cloudant
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Score 7.4 out of 10
Google Cloud SQL
Google Cloud SQL
Score 8.9 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Google Cloud SQL
Google Cloud SQL
Score 8.9 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
SAP IQ
SAP IQ
Score 10.0 out of 10
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User Ratings
IBM Cloud DatabasesInterSystems IRIS
Likelihood to Recommend
8.1
(0 ratings)
7.4
(0 ratings)
Likelihood to Renew
8.0
(0 ratings)
8.2
(0 ratings)
Usability
7.0
(0 ratings)
8.2
(0 ratings)
Support Rating
1.0
(0 ratings)
7.4
(0 ratings)
Implementation Rating
-
(0 ratings)
8.2
(0 ratings)
User Testimonials
IBM Cloud DatabasesInterSystems IRIS
Likelihood to Recommend
Less Appropriate Scenario: 1) Small Scale or Low Budget Projects 2) Organizations with limited expertise in cloud technologies may find the learning curve steep, especially if they are not familiar with the IBM Cloud platform 3) If database requirements are highly dynamic and change frequently, the comprehensive features and management provided by IBM Cloud Databases might be overkill. A more flexible, self-managed solution could be preferable for adapting to rapid changes.
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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
  • The ease of setup was effortless. For anyone with development experience, a few simple questions such as name and login data will get you set up.
  • The web application to manage cluster settings, billing settings and even introspect the data was simple and most importantly worked all the time. This can not always be said for web interfaces of other products.
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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
  • Better cost reports, before just increasing to another tier, thus increasing the price. This is critical for early stage startups, where budget is tight.
  • Add more data center options. As a comparison, a similar service, Aiven.io has dozen more options than Compose (basically all big cloud providers). We moved from AWS to Digital Ocean, which made us stop using Compose, since Compose forces us to be either on IBM or AWS.
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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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Likelihood to Renew
I am very fond of the features and reliability of the compose DaaS, however I could switch if I find same qualities for lower price.
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No answers on this topic
Usability
IBM Cloud Databases' pricing structure is easy to understand, and if you choose the right product, you can operate your system at minimal cost. Although there is ample documentation available, there doesn't seem to be a user community running on it, so specific usage know-how and troubleshooting can sometimes take longer than expected.
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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
Support is helpful enough, but we haven't always had questions answered in a satisfactory manner. At one time we realized that Compose had stopped taking database snapshots on its two-per-day schedule, and had in fact not taken one for many days. Support recognized the problem and it was fixed, but the lack of proactive checks and the inability to share exactly what happened has caused us to look elsewhere for production work loads
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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
The reason why I choose IBM Cloud Databases is that the IBM cloud toolset is already being used in other functions of the company and by using IBM Cloud Databases, the other cloud tools are better embedded and integrated. If the company is set to use amazon tools, I would go for rds.
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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
  • Prove use cases prior to administering entire platform, obtain ROI faster
  • Able to achieve the technological components of our advanced analytics team without full scale purchase of AI platform
  • Developed several studies to prove out cloud Db value, speed to deploy
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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