Datadog vs. IBM Cloudability

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.8 out of 10
N/A
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.
$1.27
per month (billed annually) per host
IBM Cloudability
Score 8.8 out of 10
N/A
IBM Cloudability is a cloud cost management and optimization (FinOps) tool that enables IT, finance, and business teams to optimize their cloud spend across all cost sources, all maturity levels, and for all stakeholders.N/A
Pricing
DatadogIBM 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
DatadogIBM Cloudability
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
More Pricing Information
Community Pulse
DatadogIBM Cloudability
Considered Both Products
Datadog
Chose Datadog
Its the Enterprise level decision, definitely usability and features perspective Datadog is much more advanced.
Chose Datadog
Datadog is significantly more user-friendly than CloudWatch.In terms of capabilities, they're similar.
I would not call either of the best-in-class for any single feature, but Datadog feels more polished and ready to use overall.Multi-cloud monitoring is a clear differentiator …
Chose Datadog
Datadog dashboard is very intuitive and offer seamless integration into multi-cloud platform compared to its competitor.
Chose Datadog
I use Datadog because it concentrates all these features into a single tool, facilitating the learning curve that my platform and development engineering team needs in order to be able to set up the monitors/alerts/SLIs/SLOs as well as to diagnose a production issue. Its easier …
Chose Datadog
Datadog seems to be the most feature-rich of all the alternatives we've considered, however due to problems outlined earlier, some of the others have benefits. OpenTel can give us a way to make our platforms compatible with a variety of vendors, and can be done without …
Chose Datadog
Datadog is a more complex but complete solution than any of the other Log Aggregation, monitoring, or general observabilty tools that we have trialed. I found it easier to setup following useful and up-to-date documentation provided directly by Datadog instead of scattered …
Chose Datadog
Kibana
Datadog
… because within our usecase we have all the events in kibana but sampled traces in Datadog … but if we had all the traces it would have been much more useful
Chose Datadog
I think Datadog and sentry serve different needs. I like sentry to keep track of errors on our systems. And then I'll jump into Datadog to investigate those issues.
Chose Datadog
We have utilized a SIEM in the past, but it was a very manual process to set it up. Content packs make it very easy to set up and get alerting instantly. Datadog takes out a lot of headaches for our security team, since they no longer have to create custom alerts for every …
Chose Datadog
First think first - it's easy to use, and very easy to implement in any infrastructure. It provides a custom dashboard and monitors. I’ve used or evaluated Grafana, Prometheus, Amazon CloudWatch, and Dynatrace, and each tool has strong capabilities. Prometheus + Grafana provide …
Chose Datadog
Wavefront seems to be better at observability and allows more custom query language.
Chose Datadog
All other tools dont have all the features which Datadog provides.
Easy to use from UI where other may have complicated UI or no UI at all to create monitors. Consider like AWS grafana, we have limitation to create monitors from UI. There is no recurring downtime for monitors. …
Chose Datadog
UI of the Datadog is easy to understand and integration steps are easy to understand. It also provides the troubleshooting steps which are easy to understand. Supports multi cloud integrations which is very important for all the customers to know about the cloud service's …
Chose Datadog
we primarily use Kubernetes, and Prometheus is great for collecting time series metrics, especially in Kubernetes. and Grafana is used for dashboards. As these are open source, we host them and manage them internally. We choose Datadog because of its logs, traces, and …
Chose Datadog
I selected Datadog because of its features and the wide range of integration support. As I already told it supports more that 600+ integrations which helps and organization to keep everything in a single place and also its AI feature which is reducing the time for root cause …
Chose Datadog
1. Grafana is good, but a lot of integration is required for it to work. .that not the case of Datadog
2. Faster to set up Datadog instead of Grafana
3. Alerting in Datadog feels much easier thanin Grafana.
Chose Datadog
Datadog is best for cloud-native and fast-setup. It is more mature for infrastructure and real-time observability. The UI is more user-friendly and provides wide coverage of app insights.
Chose Datadog
I have tried and used a number of other tools similar to Datadog such as New Relic, Splunk, Prometheus, AWS cloudwatch and Dynatrace. New Relic and Splunk provide excellent monitoring and analytics, but Datadog’s consolidated dashboards and ease of setup combined with a wealth …
Chose Datadog
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.
Chose Datadog
ease of use and implementation, other than new relic (which I think is terrible in every possible way), the other two support opentelemetry better, have more manageable costs and comparable basic services, but they do not have the breadt of services dd does.
Chose Datadog
We moved to Datadog from Microsoft's Application Insights. Application Insights did a fine job in allowing us to view our application data, but it lacked the holistic view of all our infrastructure and other platforms that could not use Application Insights. Being able to …
Chose Datadog
In terms of usability, I’ve found Datadog significantly more approachable and powerful compared to Elasticsearch, especially for day-to-day operational monitoring. Datadog offers a much more cohesive, user-friendly interface out of the box, with built-in support for metrics, …
IBM Cloudability
Chose IBM Cloudability
VMware Tanzu CloudHealth, Amazon QuickSight and Microsoft Power BI
Chose IBM Cloudability
I personally think Cloudability is great, but sells themselves short in some areas of functionality, or it may have the functionality but it's difficult to fully realize it as there are so many filters and ways to build a reports, also can the dashboards be shared easily into …
Chose IBM Cloudability
From the limited time that I've been there, I mean in the renewal talks it's been, I think Cloud Zero was another competitor that we were in talks with, but I'm not entirely sure what direction we're going. That's above my pay grade.
Chose IBM Cloudability
IBM Cloudability is more dense and scalable to meet other more comprehensive cloud focused business planning needs
Chose IBM Cloudability
we only use it to upload the data. that is all we use it for at this point but would love to see what else we could use it for.
Chose IBM Cloudability
Our organization chose IBM Cloudability over other products because, in our opinion, IBM Cloudability stacks up very well.
Chose IBM Cloudability
AWS Compute Optimizer, AWS Cost Explorer and AWS Trusted Advisor
Chose IBM Cloudability
Some of the advantages include: Better decision making: Evaluating Reserved Instance (RI) or Savings Plan Utilization
Detecting unexpected cost increases by drilling down into usage patterns and pinpointing the root cause (e.g., sudden EC2 scaling or S3 storage growth).
Chose IBM Cloudability
not using any similar products, but Cloudability is able to provide all necessary features and functionality for our organization and our customer to get the right information on their cloud spend. The ability to customize the dashboard is also a very useful feature. …
Chose IBM Cloudability
Turbo, cloud health
Value/ relationship with IBM
Chose IBM Cloudability
Our organization chose IBM Cloudability because, in our experience, Overall, IBM Cloudability is a better product.
Chose IBM Cloudability
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 …
Chose IBM Cloudability
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:
Chose IBM Cloudability
I believe that one complements the other, and it was great that Apptio brought them together on the same front.
Chose IBM Cloudability
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.
Chose IBM Cloudability
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 …
Chose IBM Cloudability
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 …
Chose IBM Cloudability
When we purchased they were close but we preferred some bits like forecasts
Chose IBM Cloudability
- Comprehensive cloud cost analytics- Effective cloud optimization tools- Strong multi-cloud management capabilities
Chose IBM Cloudability
IBM Cloudability does better on a lot of aspects. Still there are certain features that are exclusive to each product.
Best Alternatives
DatadogIBM Cloudability
Small Businesses
Amazon CloudWatch
Amazon CloudWatch
Score 7.8 out of 10

No answers on this topic

Medium-sized Companies
ManageEngine Site24x7
ManageEngine Site24x7
Score 10.0 out of 10
IBM Turbonomic
IBM Turbonomic
Score 8.6 out of 10
Enterprises
ManageEngine Site24x7
ManageEngine Site24x7
Score 10.0 out of 10
vRealize Operations (discontinued)
vRealize Operations (discontinued)
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DatadogIBM Cloudability
Likelihood to Recommend
8.9
(0 ratings)
8.8
(0 ratings)
Likelihood to Renew
1.0
(0 ratings)
6.5
(0 ratings)
Usability
8.7
(0 ratings)
7.8
(0 ratings)
Availability
-
(0 ratings)
6.4
(0 ratings)
Performance
-
(0 ratings)
5.5
(0 ratings)
Support Rating
5.0
(0 ratings)
2.3
(0 ratings)
In-Person Training
-
(0 ratings)
1.0
(0 ratings)
Online Training
-
(0 ratings)
7.3
(0 ratings)
Implementation Rating
1.0
(0 ratings)
9.0
(0 ratings)
Configurability
-
(0 ratings)
6.4
(0 ratings)
Ease of integration
-
(0 ratings)
7.3
(0 ratings)
Product Scalability
-
(0 ratings)
6.4
(0 ratings)
Vendor post-sale
-
(0 ratings)
7.3
(0 ratings)
Vendor pre-sale
-
(0 ratings)
7.3
(0 ratings)
User Testimonials
DatadogIBM Cloudability
Likelihood to Recommend
Datadog works really well with complex microservices architecture like any E-commerce platform which will be having multiple services but they all are interdependent to others so in this scenario Datadog will be best to monitor these as it will show the transactions also between those microservices. If you are using multiple services in your architecture whether it will be cloud services or on prem services Datadog will be the best choice to monitor all those service with in Datadog so that you can see everything in a single place. But if you are having small architecture and few services in that then in that scenario you can use Datadog but it will be little costly as compared to other but obviously the features are very well.
Read full review
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.
Read full review
Pros
  • Create Dashboards as per application, environments, and Custom metrics in one panel.
  • Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
  • Playbooks, SLA definition, success and error quotas, request visualizations.
  • DB monitoring, Serverless stack monitoring.
  • Alerting of Production incidents so we can quickly resolve the issues on time.
Read full review
  • 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.
Read full review
Cons
  • Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
  • I would appreciate more supportive examples for how to filter and view metrics in the explorer
  • I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
Read full review
  • There is currently no ability to apply global filters over the data in cloudability. Rather users must go through a difficult process to create custom views which they are later able to apply over top of their datasets.
  • Drill functionality does not really exists but appears to be more of an after though add-on. Yes you are able to "drill" but the visuals disappear and even the ability to export the more detailed information.
Read full review
Likelihood to Renew
Definitely will not revisit after our issues and, in my opinion, poor support.
Read full review
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
Read full review
Usability
There is some room for improvement, but the Datadog team sends out updates frequently, and the UI is user-friendly for engineers, with no significant loading issues or region-specific problems. That was one of the key reasons we preferred Datadog; our company has employees worldwide, and it wasn't difficult to transition to the tool.
Read full review
In terms of setting up the Apptio Cloud ability and configuring the Cloud Subscriptions and Accounts its very much clearly defined and also in terms of the User interface its very rich in terms of the navigation and look and feel factors its cool.
Read full review
Reliability and Availability
No answers on this topic
Only been 1 or 2 occaisions when not available, in 3 years
Read full review
Performance
No answers on this topic
Afternoons tend to be a little slower, due to US traffic I assume
Read full review
Support Rating
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.
Read full review
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.
Read full review
Online Training
No answers on this topic
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.
Read full review
Implementation Rating
Documentation was difficult to work through, rollout was catastrophic (completely outage)
Read full review
Within months
Read full review
Alternatives Considered
Datadog is a more complex but complete solution than any of the other Log Aggregation, monitoring, or general observabilty tools that we have trialed. I found it easier to setup following useful and up-to-date documentation provided directly by Datadog instead of scattered around many blogs or articles. I would love to have my own Grafana + Prometheus expert to setup all the peices we need but you're paying for expertise there instead of an experience with Datadog.
Read full review
From the limited time that I've been there, I mean in the renewal talks it's been, I think Cloud Zero was another competitor that we were in talks with, but I'm not entirely sure what direction we're going. That's above my pay grade.
Read full review
Scalability
No answers on this topic
Works as designed
Read full review
Return on Investment
  • Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
  • Alerts allow us to remedy issues before our customers even know about them
  • Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.
Read full review
  • Has allowed for more Directors to be up to date with their Budget data and know where they are standing
  • Has saved thousands of dollars in that each agency does not have to pay for individual budget management.
  • Has saved hours of time by making the data easily uploadable instead of having to manually organize all the data.
Read full review
ScreenShots

Datadog Screenshots

Screenshot of the out-of-the-box and customizable monitoring dashboards.Screenshot of Datadog's collaboration features, where users can discuss issues in-context with production data, annotate changes and notify their teams, see who responded to that alert before, and discover what was done to fix it.Screenshot of where Datadog unifies traces, metrics, and logs—the three pillars of observability.Screenshot of some of Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map, which decomposes an application into all its component services and draws the observed dependencies between these services in real timeScreenshot of centralized log data, pulled from any source.

IBM Cloudability Screenshots

Screenshot of ML backed rightsizing recommendations surfacing multiple scenarios with tools to help sort those that can me realistically actioned on, with Jira and ServiceNowScreenshot of an allocation of cloud viewed through the enterprise grade tools to tailor data for chargeback/showback across an organizationScreenshot of intelligent forecasting including seasonality, cost drivers and net new spendScreenshot of anomaly detection capabilities to stop issues in their tracks via the right people for the job