IBM Cloudability is a cloud cost management and optimization tool that enables IT, finance, and business teams to optimize their costs and communicate the business value of the cloud.
N/A
Microsoft Azure
Score 8.5 out of 10
N/A
Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.
$29
per month
Pricing
IBM Cloudability
Microsoft Azure
Editions & Modules
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Developer
$29
per month
Standard
$100
per month
Professional Direct
$1000
per month
Basic
Free
per month
Offerings
Pricing Offerings
IBM Cloudability
Microsoft Azure
Free Trial
Yes
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
The free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
More Pricing Information
Community Pulse
IBM Cloudability
Microsoft Azure
Features
IBM Cloudability
Microsoft Azure
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Good tool to start FinOps journey in a medium sized (or above) company. Currently missing AI capabilities that are now available with a lot of FinOps vendors in the market. Also, apptio currently does not have FOCUS dataset nomenclature, that can be worked upon.
Actually, migrating to Microsoft Azure is a good solution for almost any situation, especially when all components of your network are ready to become cloud-based. The only drawback I personally encounter frequently is that older software packages cannot always be easily picked up and moved to Microsoft Azure in an optimal manner.
It shows the visibility into the cost and a single pane of glass for all of our cloud providers, multiple products in those multi-cloud. So it shows us our spending across the cloud by vendor, by product, and by all the tags that we have in the cloud. So it gives us visibility into many different directions in our cost.
Azure simply provides end to end life cycle. Starting from the development to automated deployment, you will find [a] bunch of options. Custom hook-points allow [integration] on-premise resources as well.
Excellent documentation around all the services make it really easy for any novice. Overall support by [the] community and Azure Technical team is exceptional.
BOT Services, Computer Vision services, ML frameworks provide excellent results as compare to similar services provided by other giants in the same space.
Azure data services provide excellent support to ingest data from different sources, ETL, and consumption of data for BI purpose.
It would be good to see if it offers integrations with wide variety of tools like Service NOW, MS Teams, DataDog, Slack and also with cloud native Notification services like SNS etc.
It would be great if Apptio cloudability provides comprehensive documentation and training
There is scope for improvement on Enhanced cost optimization Algorithms.
In our experience, Azure Kubernetes Survice was difficult to set up, which is why we used Kubernetes on top of VMs.
Azure REST API is a bit difficult to use, which made it difficult for us to automate our interactions with Azure.
Azure's Web UI does a good job of showing metrics on individual VMs, but it would be great if there was a way to show certain metrics from multiple VMs on one dashboard. For example, hard drive usage on our database VMs.
We have been very satisfied with Windows Azure and now a lot of our business depends on it as more teams are now deploying their applications into Azure. Our next step is to have our Infrastructure team move their resources to Azure. It will take awhile for that to happen but we are positive that it will.
Very strong tool, nearly as clunky as older tools like CloudCheckr and much more fully featured than newer tools like Pileus. It's easy to get started with drilling into data for experienced FinOps users; others end users have a learning curve, but I don't think that's specific to Apptio Cloudability. The biggest drawback I find is the tool is buggier than others (e.g. CloudHealth), and constantly having to refresh a browser makes for a poor user experience.
Microsoft Azure's overall usability has been better than expected. Often times vendors promise the world, only to leave you with a run-down town. Not the case with our experience. From an implementation perspective, all went perfect, and from the user-facing experience we have had no technical issues, just some learning curve issues that are more about "why" than "how"
While there have been few support cases where the experience was good. But in multiple support cases it's firstly delayed and even after weeks or months of time, team is not able to provide us with the RCA of the issue. All they are claiming is the issue is now fixed which I still see coming back after few days or weeks as we've never identified and addressed the root cause.
Support is easy with all the knowledge base articles available for free on the web. Plus, if you have a preferred status you can leverage their concierge support to get rapid response. Sometimes they’ll bounce you around a lot to get you to the right person, but they are quite responsive (especially when you are paying for the service). Many of the older Microsoft skills are also transferable from old-school on-prem to Azure-based virtual interfaces.
Training was adequate, but the real learning begins when you start using the product, like most things. All major functions were covered so as an entry point, was a good introduction to the product. The training pace was good as well, the areas were covered in decent depth, without being too much of an information overload.
As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
I like IBM Cloudability compared to IBM SPSS Statistics because I think SPSS is a bit outdated. In my opinion, IBM Cloudability is more modern and helps present data better than SPSS could. Compared to Microsoft 365, I would say they are about even. One thing I like about Microsoft 365 compared to IBM Cloudability is data manipulation is a bit easier with formulas which I can't say I have been able to do with IBM Cloudability.
I feel that Microsoft Azure typically outperforms Google Cloud Platform in hybrid cloud capabilities, integration aspects, and, primarily, security compliance features. Azure offered superior integration with Microsoft's enterprise software ecosystem, and it's second to none in my opinion. This made it the natural choice for most, especially if heavily invested in Windows, Office 365, or Active Directory deployments. We chose Azure over GCP because we simply needed Windows workload support as a strong driver, more access to global regions, and let's not forget that most tech teams in an organization are Microsoft Certified, which makes skillset transfer from on-prem to cloud a minimal learning curve over shifting to a different provider.
Times and growth went into it. By balancing on-premises maintenance with continuous cloud improvements, we’ve budgeted and planned endlessly increased capacity.
In today’s world of cyber-crime, clients can put even more faith in what they’ve heard. We built an innovative single-sign-on hub for all users. Also, other business platforms use Azure application gateways, reducing worker switching time and increasing productivity.
Its step can automate to improve the investment. In addition, we can integrate our organization’s credentials into an authorization for other systems.
