Azure Cost Management vs Datadog comparison

The compared Microsoft and Datadog solutions aren't in the same category. Microsoft is ranked #2 in CCM , with an average rating of 8.1, and holds a 11.7% mindshare in the category. Datadog is ranked #1 in CMS , with an average rating of 8.8, and holds a 8.7% mindshare. Additionally, 86% of Microsoft users are willing to recommend the solution, compared to 96% of Datadog users who would recommend it.

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Executive Summary

We performed a comparison between Azure Cost Management and Datadog based on real PeerSpot user reviews.

Find out what your peers are saying about IBM, Microsoft, Nutanix and others in Cloud Cost Management.

To learn more, read our detailed Cloud Cost Management Report (Updated: December 2024).

Buyer's Guide

Cloud Cost Management

December 2024

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Categories and Ranking

IBM Turbonomic

Mindshare comparison

Cloud Cost Management

Cloud Monitoring Software

Featured Reviews

SubashSubbiah

Assistant Consultant at a tech services company with 10,001+ employees

It can tell us where performance is lagging on the hardware layer, but the reporting on the application layer is lacking

The automation area could be improved, and the generic reports are poor. We want more details in the analysis report from the application layer. The reports from the infrastructure layer are satisfactory, but Turbonomic won't provide much information if we dig down further than the application layer. I would like them to add some apps for physical device load resourcing and physical-to-virtual calculation. It gives excellent recommendations for the virtual layer but doesn't have the capabilities for physical-to-virtual analysis. Automated deployment is something else they could add. Some built-in automation features are helpful, but we aren't effectively using a few. We want a few more automated features, like autoscaling and automatic performance optimization testing would be useful.

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Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

Continuous monitoring and predictive analytics help provide insights into utilization

Continuous monitoring helps me detect anomalies in the pipeline, preplan resource scalability, and assist with cost management by offering good visibility into resource utilization. It also offers predictive analytics and some existing features, including dashboards. The AI prediction feature helps forecast based on current utilization trends and suggests improvements like the GenAI feature for interactive inquiries.

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Kevin Palmer

DevOps/Security Principal at Raken

Useful log aggregation and management with helpful metrics aggregation

Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Rightsizing is valuable. Its recommendations are pretty good."

"It is a good holistic platform that is easy to use. It works pretty well."

"The biggest value I'm getting out of VMTurbo right now is the complete hands-off management of equalizing the usage in my data center."

"The automated memory balancing, where it looks at whether it's being used in the most efficient way and adds or takes away memory, is the best part. If it didn't do that, it would be something that I would have to do. We have too many machines for one person to do that. The automation helps me in that it is done in a really efficient way and a balanced way because of the policies. It really helps."

"On-premises, one advantage I find particularly appealing is the ability to create policies for automatic CPU and memory scaling based on demand."

"In our organization, optimizing application performance is a continuous process that is beyond human scale. We would not be able to do the number of actions that Turbonomic takes on a daily, weekly, and monthly basis. It is humanly impossible with the little micro adjustments that it can make. That is a huge differentiator. If you just figure each action could take anywhere very conservatively from five to 10 minutes to act upon, then you multiply that out by thousands of actions every month, it is easily something where you could say, "I am saving a couple of FTEs.""

"With over 2500 ESX VMs, including 1500+ XenDesktop VDI desktops, hosted over two datacentres and 80+ vSphere hosts, firefighting has become something of the past."

"We've saved hundreds of hours. Most of the time those hours would have to be after hours as well, which are more valuable to me as that's my personal time."

More IBM Turbonomic pros

"The interface is good, and it's easy to manage."

"The advisor recommendations feature is the most valuable feature. It helps set your environment in a clean state."

"We don't actually use the Azure Cost Management features. We have our own capabilities. We put our own technology on top of Azure as Azure doesn't deliver a really good cost optimization, so our customers come to us to enhance what they're potentially doing inside their Azure platform."

"We use the solution as a cost management tool to control the budget. It is easy to mange costs with the product."

"Azure Cost Management is user-friendly compared to other competitors."

"The most valuable aspect of the solution is the fact that it's extremely customizable. It makes it very flexible in terms of usage."

"It encompasses a multitude of specialized services, each with its associated costs and considerations."

"I like the fact that you can set alerts on the predicted cost in Azure Cost Management."

More Azure Cost Management pros

"I find the greatest feature is being able to search across logs from various microservices."

"The dashboards are great."

"Their interface is probably one of the easiest things to use because it lets non-developers and non-engineers quickly get access to metrics and pull business value out of them. We could put together dashboards and give it to people who are non-technical, then they can see the state of the world."

"Going from viewing a metric to creating a monitor alerting on a metric is very easy."

"Its integration is most valuable because you can integrate it with various service providers such as AWS, .Net, etc."

"The most valuable features of Datadog are the flexibility and additional features when compared to other solutions, such as AppDynamics and Dynatrace. Some of the features include AI and ML capabilities and cloud and analysis monitoring"

"The most valuable aspect of the solution is the APM."

"Profiling has been made easier."

More Datadog pros

Cons

"The old interface was not the clearest UI in some areas, and could be quite intimidating when first using the tool."

"It would be good for Turbonomic, on their side, to integrate with other companies like AppDynamics or SolarWinds or other monitoring softwares. I feel that the actual monitoring of applications, mixed in with their abilities, would help. That would be the case wherever Turbonomic lacks the ability to monitor an application or in cases where applications are so customized that it's not going to be able to handle them. There is monitoring that you can do with scripting that you may not be able to do with Turbonomic."

"The one point is the reporting. We do have reports out of it, but they're not the level of graphical detail I would like."

"They could add a few more reports. They could also be a bit more granular. While they have reports, sometimes it is hard to figure out what you are looking for just by looking at the date."

"There is room for improvement [with] upgrades. We have deployed the newer version, version 8 of Turbonomic. The problem is that there is no way to upgrade between major Turbonomic versions. You can upgrade minor versions without a problem, but when you go from version 6 to version 7, or version 7 to version 8, you basically have to deploy it new and let it start gathering data again. That is a problem because all of the data, all of the savings calculations that had been done on the old version, are gone. There's no way to keep track of your lifetime savings across versions."

"There is an opportunity for improvement with some of Turbonomic's permissions internally for role-based access control. We would like the ability to come up with some customized permissions or scope permissions a bit differently than the product provides."

"I would like Turbonomic to add more services, especially in the cloud area. I have already told them this. They can add Azure NetApp Files. They can add Azure Blob storage. They have already added Azure App service, but they can do more."

"I like the detail I get in the old user interface and will miss some of that in the new interface when we perform our planned upgrade soon."

More IBM Turbonomic cons

"The tool's pricing should be made cheaper."

"It would be beneficial if Azure Cost Management could automatically generate budget rules using AI insights, eliminating the need for manual configuration."

"I haven't detected anything that needs improvement, but any solution could be improved."

"The dashboard could be improved."

"Azure Cost Management should be made cheaper."

"Optimization and scalability could be increased."

"I'd like to see improvements in tracking billing and costs. It would be helpful to have alerts generated by instance and location. We use the cloud for multiple programs, and it's difficult to segregate costs and get budgets from customers. We have to tag each instance, which is time-consuming. Automation and proactive alerts by instance or instance IDs would be beneficial."

"The UI is complex, and it should be less so."

More Azure Cost Management cons

"I'm still exploring the trial version, and it is fine. One thing that I haven't been able to figure out is how to retrieve a report. This is something that could be improved. I probably need to navigate to a place to access the reports."

"More pre-configured "Monitor Alerts" would be helpful."

"It would be great if usage metrics were automatically created and we could create custom metrics, instead we ended up building some of our own stuff to track and alert on our own usage."

"I'd like to see better pricing and more integration in the next release."

"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."

"We want to reduce having to go to different screens to obtain all the information."

"Some of the interface is still confusing to use."

"More granular control over dashboard sharing. Timeboard sharing."

More Datadog cons

Pricing and Cost Advice

"You should understand the cost of your physical servers and how much time and money you are spending year over year on expanding your virtual farm."

"The pricing and licensing are fair. We purchase based on benchmark pricing, which we have been able to get. There are no surprise charges nor hidden fees."

"I have not seen Turbonomic's new pricing since IBM purchased it. When we were looking at it in my previous company before IBM's purchase, it was compatible with other tools."

"The pricing is in line with the other solutions that we have. It's not a bargain software, nor is it overly expensive."

"It is an endpoint type license, which is fine. It is not overly expensive."

"I don't know the current prices, but I like how the licensing is based on the number of instances instead of sockets, clusters, or cores. We have some VMs that are so heavy I can only fit four on one server. It's not cost-effective if we have to pay more for those. When I move around a VM SQL box with 30 cores and a half-terabyte of RAM, I'm not paying for an entire socket and cores where people assume you have at least 10 or 20 VMs on that socket for that pricing."

"I consider the pricing to be high."

"IBM Turbonomic is an investment that we believe will deliver positive returns."

More IBM Turbonomic pricing and cost advice

"I rate the tool's pricing a seven out of ten."

"The product is not cheap, but it is not expensive either."

"Based on the transitional cost we charge, it's not expensive, but could be better."

"The subscription fees are primarily tailored to larger enterprises, potentially leaving smaller and medium-sized customers with limited options."

"The solution is free. It's part of having an Azure subscription."

"Azure Cost Management is a free solution. The cost is only for Azure cloud."

"I rate the price of Azure Cost Management an eight out of ten."

"We are using pay-as-you-go licenses mostly for our customers."

More Azure Cost Management pricing and cost advice

"If you do your homework, you'll find that if you're really concerned with cost, it's good."

"It didn't scale well from the cost perspective. We had a custom package deal."

"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."

"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."

"Licensing is based on the retention period of logs and metrics."

"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."

"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."

"It has a module-based pricing model."

More Datadog pricing and cost advice

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824,154 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

13%

Manufacturing Company

10%

Insurance Company

Computer Software Company

15%

Manufacturing Company

12%

Financial Services Firm

11%

Energy/Utilities Company

Educational Organization

38%

Computer Software Company

10%

Financial Services Firm

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What is your experience regarding pricing and costs for Turbonomic?

It offers different scenarios. It provides more capabilities than many other tools available. Typically, its price is...

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What needs improvement with Turbonomic?

The implementation could be enhanced.

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What is your primary use case for Turbonomic?

We use IBM Turbonomic to automate our cloud operations, including monitoring, consolidating dashboards, and reporting...

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What do you like most about Azure Cost Management?

Gives visibility into the cost of cloud-based solutions.

See all answers

What is your experience regarding pricing and costs for Azure Cost Management?

I rate the tool's pricing a six out of ten - the price could be lower.

See all answers

What needs improvement with Azure Cost Management?

I'd like to see improvements in tracking billing and costs. It would be helpful to have alerts generated by instance ...

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Any advice about APM solutions?

There are many factors and we know little about your requirements (size of org, technology stack, management systems,...

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Datadog vs ELK: which one is good in terms of performance, cost and efficiency?

With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several time...

See all answers

Which would you choose - Datadog or Dynatrace?

Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was t...

See all answers

Comparisons

VMware Aria Operations vs IBM Turbonomic

Compared 19% of the time

VMware vSphere vs IBM Turbonomic

Compared 9% of the time

Cisco Intersight vs IBM Turbonomic

Compared 8% of the time

Cloudability vs IBM Turbonomic

Compared 6% of the time

VMWare Tanzu CloudHealth vs IBM Turbonomic

Compared 6% of the time

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Cloudability vs Azure Cost Management

Compared 18% of the time

VMWare Tanzu CloudHealth vs Azure Cost Management

Compared 12% of the time

Zabbix vs Azure Cost Management

Compared 11% of the time

AWS Savings Plans vs Azure Cost Management

Compared 5% of the time

ParkMyCloud vs Azure Cost Management

Compared 3% of the time

More Azure Cost Management Competitors

Dynatrace vs Datadog

Compared 14% of the time

Azure Monitor vs Datadog

Compared 13% of the time

New Relic vs Datadog

Compared 6% of the time

AWS X-Ray vs Datadog

Compared 4% of the time

Splunk Enterprise Security vs Datadog

Compared 4% of the time

More Datadog Competitors

Product Reports

Buyer's Guide

IBM Turbonomic

December 2024

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Buyer's Guide

Azure Cost Management

December 2024

Download Azure Cost Management product report

Buyer's Guide

Datadog

December 2024

Download Datadog product report

Also Known As

Turbonomic, VMTurbo Operations Manager

Microsoft Azure Cost Management, Cloudyn

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IBM

Microsoft

Datadog

Interactive Demo

IBM

Demo not available

Microsoft

Demo not available

Datadog

Overview

IBM Turbonomic is a performance and cost optimization platform for public, private, and hybrid clouds used by companies to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions.

IBM Turbonomic leverages AI to continuously analyze application resource consumption, deliver insights and dashboards, and make real-time adjustments. Common use cases include cloud cost optimization, cloud migration planning, data center modernization, FinOps acceleration, Kubernetes optimization, sustainable IT, and application resource management. By integrating with various cloud platforms, on-premise infrastructures, and containers, IBM Turbonomic provides a holistic view of the environment, ensuring that resources are allocated efficiently.

The solution is designed to support complex IT environments, offering actionable insights and automated actions that help IT teams proactively manage application performance and infrastructure resources. Turbonomic customers report an average 33% reduction in cloud and infrastructure waste without impacting application performance, and return-on-investment of 471% over three years.

IBM Turbonomic manages resources across hybrid and on-premises data centers to ensure efficiency and financial impact awareness. It automates resource allocation, balances memory dynamically, and provides robust performance metrics. Users benefit from its ability to prevent resource starvation and offer cost-saving recommendations through continuous management. Executive Dashboards provide insights for cost justification and resource management, making IT operations simpler with AI-driven automation and actionable recommendations.

What are the most important features of IBM Turbonomic?

Automated Resource Allocation: Dynamically allocates resources for optimal performance.
Dynamic Memory Balancing: Adjusts memory allocation to prevent resource shortages.
Right-Sizing: Sizes VMs accurately for Azure and on-prem environments.
Single Platform Management: Manages resources across hybrid and on-premises data centers.
Proactive Performance Optimization: Continuously optimizes performance to prevent issues.
Kubernetes Support: Enhances container management with robust support.
Cost-Saving Recommendations: Provides actionable tips for reducing expenses.

What benefits should users look for in IBM Turbonomic reviews?

Cost Reduction: Helps minimize expenses through efficient resource management.
Performance Improvement: Enhances application performance by preventing resource starvation.
Detailed Insights: Offers comprehensive analytics to justify costs and resource utilization.
Simplified IT Processes: Uses AI automation to streamline operations.

IBM Turbonomic is implemented across multiple industries, including finance for optimizing peak payroll processing, IT for enhanced virtual server management, and healthcare for reliable performance monitoring. Organizations benefit from its robust automation, ensuring maximum efficiency and cost savings.

Azure Cost Management provides actionable insights for IT professionals to optimize cloud expenses and align budgets with strategic goals. It features real-time visibility and analytics for efficient resource management.

Azure Cost Management offers a comprehensive suite of tools for cost analysis and control, including budgeting alerts and integration capabilities to optimize resource spending. Its intuitive interface simplifies navigation while providing trend analysis, forecasting, and cost-saving recommendations. By delivering detailed insights into resource usage, Azure helps organizations manage expenses effectively, enabling strategic financial planning through clear visualizations and reports.

What are the key features of Azure Cost Management?

Customizable Cost Analysis: Tailored insights to analyze expenses effectively.
Real-Time Consumption Visibility: Immediate data access for informed decision-making.
Budgeting Alerts: Set alerts to monitor and control spending.
Advisor Recommendations: Integrated advice for cost optimization.
Integration Capabilities: Seamless integration with various platforms.
Trend Analysis and Forecasting: Tools to predict future costs and trends.

What benefits should be expected when using Azure Cost Management?

Expense Optimization: Streamlined processes for managing cloud costs.
Enhanced Budget Management: Precise control over budget allocations.
Improved Financial Insights: Clear reporting for better financial planning.
Strategic Resource Allocation: Insights for aligning resources with business goals.
Efficient Infrastructure Management: Support for cost management strategies across deployments.

Azure Cost Management is widely implemented in industries seeking to monitor and control budgets, optimize costs, and track resource spending. Companies utilize it to gain billing insights, understand usage patterns, and minimize cloud expenses. It is instrumental in managing infrastructure costs and supporting cost management strategies across different deployments, making it valuable for projecting profitability and setting cost alerts.

Datadog is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.

Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.

What are the key features of Datadog?

Graphs and Dashboards: Visualizes servers and infrastructure with customizable views.
Metrics: Offers deep insights into system performance and user behavior.
Log Management: Provides powerful analytics for logs and seamless log aggregation.
Unified Tagging: Facilitates organization and retrieval of metrics and logs.
APM and RUM: Enables application performance monitoring and real user monitoring for comprehensive insights.
Synthetic Testing: Allows the simulation of user interactions to test application performance.

What benefits and ROI should users look for in reviews?

System Reliability: Helps ensure uptime and performance across cloud environments.
Proactive Issue Resolution: Assists in identifying and resolving issues before they impact users.
Operational Efficiency: Streamlines monitoring and log management tasks.
Flexible Integrations: Adapts to various cloud services and infrastructure setups.
Real-Time Alerts: Provides timely notifications to address problems swiftly.

Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.

Sample Customers

IBM, J.B. Hunt, BBC, The Capita Group, SulAmérica, Rabobank, PROS, ThinkON, O.C. Tanner Co.

Quixey, Infomedia, Panaya, Wix.com, Mirabeau, Mi9, GetTaxi, Outsmart Studios, Bownty, BlazeMeter: The Load Testing Cloud, Irdeto, Effective Measure, Totango, Nextdoor, BranchOut, The BioTeam, Evolven, Netotiate, ClickSoftware

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's

Buyer's Guide

Cloud Cost Management

December 2024

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Find out what your peers are saying about IBM, Microsoft, Nutanix and others in Cloud Cost Management. Updated: December 2024.

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