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.
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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
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Additional Details
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The free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
Apptio Cloudability (pre-IBM acquisition), CloudHealth by VMware, AWS Cost Explorer, and Azure Cost Management. Each has its strengths, but Cloudability stood out for its multi-cloud coverage, commitment discount optimization, and finance-friendly reporting capabilities.
Recently, I got an opportunity to review this tool in the India Apptio User Conference. Currently, I'm going through the use cases of this tool and checking if this helps us in any of the use cases. also, I've heard from the speaker that IBM Kubecost will be integrated in the …
For a single project and quick analysis about why my costs when overboard or why forecast is showing more than my budget, it is much easier to use AWS Cost Explorer over IBM Cloudability. I think this area should definitely improve and do some smart suggestions using AI …
IBM Cloudability stands out in the cloud cost management landscape due to its comprehensive features, strong multi-cloud support, and alignment with FinOps practices. Here's how it compares to other leading tools:
We tried a few different tools as part of a POC but the fact that there is the IBM name attached to Apptio and just the complexity of our enterprise systems was something that we felt was best served by the IBM Cloudability tool. It integrated seamlessly with the multiple cloud …
IBM Leadership is clear on the requirements and market demands, and they continue to improve. I have seen work happening at lightning speed based on the requirement.
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 …
Power BI is a powerful tool for visualization. Apptio does a great job at managing the data from the cloud spend, but Power BI can create much better and more complex visualizations
Obviously this is just based on the virtualisation part of the product, but VM's in Microsoft Azure are well managable and no need to invest in hardware, which gives it an edge in a time where the need for VM's is getting less and less.
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 …
Mostly due to the ecosystem. I don't think there is anything in AWS that we would be missing out when using Microsoft Azure. We use Microsoft products on on-premise servers and also M365 / Office services that are well supported in Microsoft Azure. The pricing between AWS and …
AWS is good for linux virtual machines and mac virtual machines, Microsoft Azure doesn't do mac VMs. However, in my opinion Microsoft Azure is better in every other aspect, easier to use and just as cost effective.
AWS takes the cake here just due to how simple it is to configure IAM roles, users, and policies. Microsoft Azure is nearly neck-and-neck and could probably overtake them in the near future. Splunk for logging isn't that great and Microsoft Azure does a solid job but they could …
Microsoft Azure is a comprehensive platform that offers almost all functionalities and can provide even more. Due to ongoing extensive developments, additional functionalities are continuously being added and improved. Many new functionalities are also being added that are …
AWS is the most stable cloud options but Azure has done well in last few years and provides good options specifically for Microsoft customers and who are more familiar with Microsoft technologies like WINDOWS, MS SQL SERVER, GITHUB, VISUAL STUDIO etc. Google cloud is more …
Azure is an ideal platform for disaster recovery and backup. It is very flexible because of its site regeneration capabilities and other features. All of our data can be backup, regardless of the language or operating system. Azure’s inherent flexibility comes from its status …
Remote accessibility for the mass people from the different places where both free and premium service is available that's why people choose Microsoft Azure. The main reason of switching from that to Microsoft Azure is the cost of operation and operating flexibility. The …
AWS and Azure are distinct classes, regardless of how we view them or which sub-areas. Their capabilities are the most comprehensive and sophisticated. Azure will benefit existing Microsoft customers, but AWS has a slight market share advantage. Microsoft Azure offers many …
Because Microsoft Azure has more integrations and possibilities. Also most of the biggest companies are using it, so it gives the security and the back up to trust and work with confidence.
As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" …
We actually utilized multiple cloud stacks, depending upon the customer environment and need. Those that heavily used MS products (Office on-prem or 365), Teams, etc, found it a better fit, with easier integration, for their needs.
I would say that Azure stacks up pretty good and sometimes better in comparison to what Google Cloud Platform has to offer. I don't like GCP for its absurd licensing fees and it's expensive for just Using EC2 Instances. However, DigitalOcean and AWS can offer far better …
The most common alternatives are Amazon Web Services and Google Cloud Platform. AWS is known for its non-existent customer support and abysmal documentation - Azure is clearly better on both fronts. Google Cloud Platform is a solid product, but in my experience Azure Functions …
Integration with other Microsoft products makes Azure stand out quite a bit. However, if you need to use open source software and to integrate with Linux systems then AWS or Google Cloud might be better alternatives. Google did not even come close to Azure in terms of …
Evaluated both AWS and GCP for a similar set of use cases to realize that AWS required additional third-party add ons to be purchased for load balancing vs. Azure's out-of-the-box capabilities offered for free. GCP on the surface was lower cost but the cost of running …
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.