Datadog vs. IBM Turbonomic

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.4 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 Turbonomic
Score 9.3 out of 10
Enterprise companies (1,001+ employees)
IBM Turbonomic is a performance and cost optimization platform for public, private, and hybrid clouds used by cloud, infrastructure operations, and architecture to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions. One of the key features of IBM Turbonomic is its ability to continuously adjust application resources in real time. By monitoring resource utilization and application performance,…N/A
Pricing
DatadogIBM Turbonomic
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
IBM® Turbonomic On-Prem
Varies - Request a Quote
per month IBM Turbonomic On-prem optimizes data center resources in real time, ensuring app performance at the lowest cost by aligning infrastructure supply with dynamic application demand.
IBM® Turbonomic Cloud Standard
Varies - Request a Quote
per month For customers with more than USD 1.6 million in annual cloud spend or 50 Managed Virtual Servers (MVS) or greater
IBM® Turbonomic Hybrid Standard
Varies - Request a Quote
per month Advanced hybrid cloud optimization capabilities for customers with 200 managed virtual servers (MVS) or more
Offerings
Pricing Offerings
DatadogIBM Turbonomic
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalOptional
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).Volume discounting available.
More Pricing Information
Community Pulse
DatadogIBM Turbonomic
Considered Both Products
Datadog
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, …
Chose Datadog
Datadog is an all in one solution. It has everything in one place so you don't have to go from application to application and try to figure out what exactly happened. No more stitching database errors from one third party to backend errors in another to front end errors in …
Chose Datadog
the search query is very easy to search the logs
Chose Datadog
Datadog crushed the competition on price and offering more solutions in one product cutting down on implementation time and effort while ensuring that the "integration" between one of their offerings was completely compatible with any of the others. I'm sure it's not the case …
Chose Datadog
We've completely replaced New Relic with Datadog and find it easier to use and more comprehensive. Our AWS and Sentry usage will continue for now. But Datadog gives us a much broader coverage - we can monitor our AWS services and many other services that interact with them. …
Chose Datadog
Dynatrace was cheaper but, in my opinion, its setup, features, and overall user experience do not come close to what Datadog can offer, making it more of a pain to use and not worth the cheaper cost over Datadog (especially if migrating away from Datadog to dynatrace).

Chose Datadog
Better performance and visibility than what I was able to obtain out of AppDynamics

Their OnCall offering is very fresh still, but is already almost at parity with Splunk On Call (VictorOps)
Chose Datadog
The first reason for selecting Datadog was of course it's pricing which is quite better in terms of competitor like Appdynamics and splunk. Second thing is versatile services which they are offering on one platform which means entire end to end services can be monitor at one …
Chose Datadog
It's a one-stop solution for all our needs whereas in other open-source tools, we have an operational overhead to keep and manage the uptime of these tools as well and also manage their versioning, upgrade, and patching cycle. Also if there are any bugs then we have to raise an …
Chose Datadog
One of the most important reason is single agent configuration for all kinds of monitoring. It also proved an auto upgrade feature of agents that reduces the overhead. It also provides range of options when it comes to data visualization and dashboards. It also provide tagging …
Chose Datadog
Kubernetes with Prometheus and other open-source options. It is prone to more toil to set up but the stack can be largely replicated in open source technologies.
Chose Datadog
OEM and Vertica Management console are limited to their own databases whereas Datadog has the ability to monitor multiple types of databases.
Chose Datadog
New Relic was a good tool but had really pushy salespeople. They also released a product called infrastructure recently, and it was worse than their previous product (servers). The previous product was also free! Needless to say, we will not be going back to New Relic any time …
Chose Datadog
Easier to set up and integrate with other auxiliary tools. The cost was also a benefit along with self-service capabilities. We could set up Data Dog by ourselves, versus needing to bring additional consulting efforts to setup Dynatrace. Reliability of results (less false …
Chose Datadog
Ultimately, Datadog had the most already-built bridges into our existing infrastructure -- third parties that we're using for certain services are far more likely to work with Datadog than other systems. This means that, while expensive, Datadog has done a tremendous amount of …
Chose Datadog
Datadog has been harder to setup out-of-the-box compared to its alternatives, although it's graphs and dashboards have been more useful. Other tools handle individual tasks better. For example, Splunk has been the best logging tool I've used, and New Relic is great for CPU and …
Chose Datadog
It has been easier to work with Datadog for all our business needs and get things on their roadmap if we found it lacking. Currently we use a mix of various tools as they were existing prior to Datadog came. We are evaluating new offering like Datadog's latest log management to …
Chose Datadog
I am listing how Datadog is better than below chosen
NotSensu - Datadog has more integrations and easy to use UI.
Prometheus - Datadog Integration are more in number than, simple installation process
Chose Datadog
We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.
Chose Datadog
The pricing, the customer service and it most importantly it does the job we expect.
Chose Datadog
Geckoboard has nice dashboard options, however their third party system support isn't as strong as Datadog. Geckoboard did not support all the various server and development systems we use, whereas Datadog did. Also, Datadog has better alerting and monitoring options than …
Chose Datadog
Datadog empowers us to create dashboards and visualize the state of our infrastructure in real time. It gives us control over what we want to view and how. The graphs provide deep insight into trends and anamoly detectives. These features are lacking in some of the other …
IBM Turbonomic
Chose IBM Turbonomic
Resource management with openshift and turbonomic forms an ideal set for observing problems and correctly dimensioning the environment

Chose IBM Turbonomic
Simpler. IBM Turbonomic is more efficient and simpler to use.
Chose IBM Turbonomic
I think IBM Turbonomic is much much better than Datadog. Both in terms of functionality and capabilities. AI driven resource allocation is the standout feature.
Chose IBM Turbonomic
We already had the Turbonomic license acquired.
Chose IBM Turbonomic
IBM Turbonomic supports multi cloud deployments and work well with other IBM cloud/web tools we use within our organization.
While there is an initial learning curve, over long period of time it pays off once the cost benefits are realized from the efficiency gains. Given the …
Chose IBM Turbonomic
I chose IBM Turbonomic because it is a good tool that integrates any CSP and on-premises solutions. It also helps with difficult tasks related to ARM issues.
Chose IBM Turbonomic
We found that that the support we had from IBM and 3rd party vender on IBM Turbonomic was superb , and was one of deciding factors of why we choose IBM Turbonomic. We like a lot of the automation features , and how it helps our engineers work smarter. Even though the VM ware …
Chose IBM Turbonomic
Turbonomic is class apart compared to the others. It helps you achieve what is not possible with the other solutions. Turbonomic can work in an auto-mode and keep delivering savings and business performance. No other product comes even close.
Chose IBM Turbonomic
I selected IBM Turbonomic because it is a comprehensive tool that can help me monitor and optimize the entire IT environment. The choice of IBM Turbonomic is often driven by its extensive feature set, scalability, and delivering tangible results. IBM Turbonomic stands out in …
Chose IBM Turbonomic
As the organization had experience of years in using IBM products, we had the confidence that they will provide us with great support. And we needed a reliable solution as a financial institute to ensure continuous operations. Even though the price was very high, we made the …
Chose IBM Turbonomic
Application awareness is the key success criteria of IBM Turbonomic when the comparison came on the table. To be aware of the application performance and nature when monitoring or analyzing the components and resources of the applications is the key differentiation of the IBM …
Chose IBM Turbonomic
IBM Turbonomic is still trying the pick the pace and against the other products in the market. It is equivalent to SolarWinds, LogicMonitor and some part of AppDynamics but far behind SPLUNK Enterpsie and ServiceNow Now Platform due to the fact that they offer open wide …
Chose IBM Turbonomic
IBM Turbonomic has grown to a respectable level now in the market and after associating with IBM its value has been increased in terms of trust and results. From technical point of view this is a potential solution and provide almost all similar features like its competitors. …
Chose IBM Turbonomic
Turbonomic blew the doors off the competition. When we did a comparison to our current application that was monitoring our environment, Turbonomic surpassed them with flying colors at the start during the POC. Then during the POC white we were kicking the tires around the …
Chose IBM Turbonomic
I like Turbonomic it helps us to ensure our applications get the resources they need to perform. With a complete understanding of the application and infrastructure stack, we are able to automate actions and prevent resource congestion across a hybrid cloud environment.
Chose IBM Turbonomic
Azure AI (Cortana), ADL Data Systems and Databricks Lakehouse Platform (Unified Analytics Platform)
Chose IBM Turbonomic
We tried the vRealize suite but found it complicated and not very intuitive for first-time users. Meaning we could log into Turbonomic and click around to figure out what we needed, whereas vRealize was not as user-friendly in its UI. Ultimately that was why we choose to go …
Chose IBM Turbonomic
We liked Turbonomic as it could work in the container space and the VM space. Other products were too one-dimensional. Additionally, the algorithm in Turbonomic is not typical. Turbonomic does not take the standard data elements and map them to consumption. Their use of a …
Chose IBM Turbonomic
Turbonomic was recommended by one of our vendors to help handle and manage costs. We have not used any other company.
Chose IBM Turbonomic
IBM Cloud Availability Monitoring is a very basic monitoring tool. As the name suggests, it only monitors the availability of your systems. While it is a good tool to get started with, it lacks many advanced features available with other solutions such as New Relic, which you …
Chose IBM Turbonomic
The only comparable alternative has been DRS and sDRS which are native to vCenter. These tools have had to suffice for managing resources and placement. Thusfar, they have been working for us well. Although there is some manual work and reliance on monitoring tools to ensure …
Features
DatadogIBM Turbonomic
Cloud Management
Comparison of Cloud Management features of Product A and Product B
Datadog
-
Ratings
IBM Turbonomic
6.8
Ratings
24% below category average
Cloud Management Security00 Ratings6.30 Ratings
Automation and Orchestration00 Ratings6.30 Ratings
Cost Management00 Ratings7.80 Ratings
Cloud Management Performance Monitoring00 Ratings7.20 Ratings
Governance and Compliance00 Ratings6.80 Ratings
Resource Management00 Ratings7.30 Ratings
Systems Integration00 Ratings5.70 Ratings
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DatadogIBM Turbonomic
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InfluxDB
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Score 8.8 out of 10
VMware Cloud Director
VMware Cloud Director
Score 8.5 out of 10
Medium-sized Companies
Logz.io
Logz.io
Score 7.0 out of 10
Cohesity
Cohesity
Score 9.0 out of 10
Enterprises
NetBrain Technologies
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vRealize Operations (discontinued)
vRealize Operations (discontinued)
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DatadogIBM Turbonomic
Likelihood to Recommend
9.0
(0 ratings)
7.8
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(0 ratings)
Usability
10.0
(0 ratings)
8.0
(0 ratings)
Availability
-
(0 ratings)
10.0
(0 ratings)
Performance
-
(0 ratings)
8.0
(0 ratings)
Support Rating
8.9
(0 ratings)
8.0
(0 ratings)
In-Person Training
-
(0 ratings)
8.2
(0 ratings)
Online Training
-
(0 ratings)
10.0
(0 ratings)
Implementation Rating
-
(0 ratings)
9.7
(0 ratings)
Configurability
-
(0 ratings)
10.0
(0 ratings)
Ease of integration
-
(0 ratings)
8.0
(0 ratings)
Product Scalability
-
(0 ratings)
10.0
(0 ratings)
Vendor post-sale
-
(0 ratings)
10.0
(0 ratings)
Vendor pre-sale
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
DatadogIBM Turbonomic
Likelihood to Recommend
A one-stop solution for everything you need. Multiple functionalities are tailored to meet specific business needs. Logs are essential for any business, and Datadog manages logs effectively. Rum sessions are something new to me and have given us a new perspective on how to reverse engineer issues that we see for our customers.
Read full review
Measure the usage of resources across different platforms, from Kubernetes to VMs on-premises or in the cloud, to obtain current capacity metrics and plan for future scenarios. Reduce IT infrastructure costs by taking automated actions based on resource underutilization, such as shutting down VMs or changing resource definitions.
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
  • Presentation is nice. Its easy to understand what your looking at and the data that is being presented to you.
  • Properly identify resource utilization and recommendations for action on how VMs can be improved and resources can be better utilized.
  • It was also able to tell us the same information and analysis for cloud resources. I was not expecting that.
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
  • It would be nice if the UI included a break-down of features that are both licensed as well as un-licensed. That way, you could not only see what you have, but what you don't.
  • The right-sizing recommendations are great, but very little info is given about why the recommendation is being made. More info would not only increase understanding, but would also help drive decision-making.
Read full review
Likelihood to Renew
No answers on this topic
I have not found a better tool for capacity planning my VM environment than Turbonomic. If that is the use case, I would highly recommend. Similarly, if you are looking for automation and VM rightsizing automation I would also highly recommend. For troubleshooting scenarios where deep levels of infrastructure metrics are required, there are better tools available.
Read full review
Usability
Datadog's user interface is quite friendly and easy to navigate. With menus clearly categorized, and ability to bookmark important dashboards, one can easily find what they're looking for. For dashboards, ability to move and resize visualizations and group them, is really helpful to organize dashboards. Automatic suggestions from Datadog for important visualizations based on the metrics and logs would provide another level of ease of use.
Read full review
Excellent approach to larger VM organizational management. They have an very clean integrated dashboard that allows us to see everything in our environment and what that is doing in real-time. It works on multiple hyper-visors really well and integrates capacity planning on my local site as well as my cloud locations.
Read full review
Reliability and Availability
No answers on this topic
VMTurbo has not caused any outages by not doing what we expect it to do.
Read full review
Performance
No answers on this topic
It allocates resources among applications by showing more on the cost breakdown by cloud service, with metrics on cloud provider information like Azure Management, Identity, Networking, Storage with costs per day, and total services costs. This then could facilitate and show the corresponding actions thereafter upon scaling.
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.
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Just this week we had an issue where security permissions we had done wrong were causing problems in VMTurbo Operations Manager. Despite this being our fault the service request was handled very quickly. In addition we are routinely contacted proactively to see if there is anything we need or they could do for us.
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In-Person Training
No answers on this topic
Alex (from VMTurbo) has worked with the product for years and helped develop the product. He was very knowledgeable and was able to provide our support team with details knowledge on how to get our deployment configured correctly as well as help with another VMTurbo POC within another customers environment.
Read full review
Online Training
No answers on this topic
After buying VMTurbo Operations Manager, I was invited to an online user training event. I felt this training was effective and dug just deep enough to be informative yet still keep my attention. Additionally, the webinar was free.
Read full review
Implementation Rating
No answers on this topic
VMTurbo was easy to setup and implement. Probably helped by the remote telephone support we received. It was a simple process and and fairly painless. More complex configuration was achieved via a webex session and the support was greatly appreciated
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Alternatives Considered
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 analysis. Its custom dashboards features which helps us to visualize the data in a more attractive way.
Read full review
As the organization had experience of years in using IBM products, we had the confidence that they will provide us with great support. And we needed a reliable solution as a financial institute to ensure continuous operations. Even though the price was very high, we made the correct decision to go ahead with IBM Turbonomic as the feedback from existing users in the region was very positive. We needed a solution which was capable of handling our automation requirements. All these were green in IBM Turbonomic.
Read full review
Scalability
No answers on this topic
It’s very scalable.
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
  • Application performance has been a big one. With Turbonomic keeping everything running at top performance, it can make changes when extra resources are need, quicker than somebody being notified and then making the necessary changes.
  • Turbonomic has been a great cost savings for us on multiple occasions. We use it every time we are improving servers.
  • With the planning feature we get the best performance form new hardware purchases
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 Turbonomic Screenshots

Screenshot of IBM Turbonomic Action Center, where it shows the list of optimization actions across the global environment—on-prem and cloud—that should be taken to minimize cost while assuring performance.Screenshot of IBM Turbonomic Application, a view that shows the global environment across private and public infrastructure from the context of individual application components. Users can optimize one application at a time by viewing each app's pending actions. The Supply Chain at left shows all of the entities across applications and their interdependencies.Screenshot of The IBM Turbonomic Cloud Executive Dashboard, an out of the box dashboard that allow users to rapidly communicate value to executives. This view shows the cloud cost savings opportunities realized and not yet realized over any time period.Screenshot of The IBM Turbonomic On-prem Executive Dashboard, an out of the box dashboard that allow users to rapidly communicate value to executives. This view shows the savings opportunities realized and not yet realized over any time period.Screenshot of an IBM Turbonomic Cloud view, where the public cloud environment(s) and all of the pending actions required to bring them into an efficient, performant state. The Supply Chain at left shows all of the entities in the public cloud(s) and their interdependencies.Screenshot of The IBM Turbonomic On-Prem view that shows the user's private data center environment(s) and all of the pending actions required to bring them into an efficient, performant state. The Supply Chain at left shows all of the entities in data center(s) and the interdependencies between them.