Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
$18
per month per host
IBM Cloudability
Score 8.8 out of 10
N/A
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
Pricing
Datadog
IBM Cloudability
Editions & Modules
Log Management
$1.27
per month (billed annually) per host
Infrastructure
$15.00
per month (billed annually) per host
Standard
$18
per month per host
Enterprise
$27
per month per host
DevSecOps Pro
$27
per month per host
APM
$31.00
per month (billed annually) per host
DevSecOps Enterprise
$41
per month per host
No answers on this topic
Offerings
Pricing Offerings
Datadog
IBM Cloudability
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
Compared to some of the other data reporting and visualation tools, Apptio Cloudability stacks up well. It is a very niche product but can be extended to do some cloud management and reporting fairly easily. For example getting emails based on a lack of asset tagging, right …
As per my experience, Datadog is best suited for complex, cloud-native environments where unified observability is critical, as it integrates seamlessly with AWS and Azure. Moreover, it provides deep visibility into latency and error rates. Datadog pricing is less appropriate for Startups with a tight budget and for organizations needing advanced incident management.
I don't have much exposure to the tool. I mean, I'm relatively new to using it as a platform, but I haven't really seen the benefit, especially with the actual renewal talks at the company. I'm not seeing what AWS native solutions are, how probability improves on that as opposed to just using AWS and just, I don't know. I'm not seeing the benefit, at least in my eyes.
The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.
For me, it is a lot of anomaly detection and I think there's a lot of improvement that can be made to show anomalies that happen over time because if it's just day to day or week to week, you may not see the change. But if you see the trend over a period of time, show me something that has grown 40%, 50% over the past three months and maybe you can do those things and we just haven't figured them out yet. So we are very new to the product, but I think anomaly detection for me is one of the bigger things.
Cloudability has been one solution for almost all of our FinOps needs. Except for Data transfer costs, we have covered all use cases and have made significant savings across our cloud infrastructure. Reporting has provided management a deeper analysis into their spending and helped them forecast their budgets for next year
There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.
I gave the IBM Cloudability a 7/10 because it is good, but it could improve in some places. It is easy to get data uploaded and ready to view, but it is only up to a certain point in time, and not live data. As for how it looks, the interface is good for viewing, however navigation could be a little better, maybe supported with a roadmap.
The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.
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.
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.
Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.
Key features:
Logs, metrics, and APM (Application Performance Monitoring)
Real-time alerting and dashboards
Supports Kubernetes, AWS, GCP, and other integrations
RUM (Real User Monitoring) and Synthetics
✅ Best for backend, server, and distributed systems monitoring.
Before Apptio we extensively used the cloud native and in house automated and developed cost optimization tool using python , powershell and leveraging the various cloud native services like AWS systems manager , Azure Functions and Azure automation run books.
