Avantra vs Datadog comparison

Why PeerSpot?

Avantra and Datadog are both solutions in the Application Performance Monitoring (APM) and Observability category. Avantra is ranked #52, while Datadog is ranked #1 with an average rating of 8.6. Avantra holds a 1.3% mindshare in APM, compared to Datadog’s 4.2% mindshare. Additionally, 100% of Avantra users are willing to recommend the solution, compared to 97% of Datadog users who would recommend it.

Avantra

Read 5 Avantra reviews

6,283 Views
3,833 Comparison Views

100% willing to recommend

Datadog

Read 211 Datadog reviews

46,933 Views
20,651 Comparison Views

97% willing to recommend

Avantra

Datadog

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 25, 2026

Datadog and Avantra are competitive analytics and monitoring platforms. Datadog often has an advantage in terms of pricing and deployment flexibility, whereas Avantra stands out with specialized features for SAP systems.

Features: Datadog offers extensive third-party integrations, real-time data processing, and a user-friendly interface suitable for non-technical users. Avantra enhances automation capabilities, optimizes SAP systems, and provides tailored features for SAP landscapes, making it ideal for SAP-centric environments.

Room for Improvement: Datadog could improve in handling specialized workloads outside of its existing integrations and custom metrics capabilities. It may also benefit from enhancing its interface for advanced technical users. Avantra might improve by expanding its documentation and providing broader support for non-SAP systems, making initial deployment less complex.

Ease of Deployment and Customer Service: Datadog offers a more streamlined deployment process with extensive documentation and broad support channels, making it accessible for general IT operations. Avantra provides a robust deployment framework tailored for SAP systems, requiring a more involved setup but offering deep SAP expertise, favoring complex SAP requirements.

Pricing and ROI: Datadog provides a scalable pricing model favorable for businesses seeking cost-effective monitoring across various integrations. Avantra's higher initial costs lead to substantial ROI for SAP-focused enterprises through automation efficiencies, offering greater long-term value for SAP-driven operations.

To learn more, read our detailed Avantra vs. Datadog Report (Updated: September 2026).

Buyer's Guide

Avantra vs. Datadog

September 2026

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Review summaries and opinions

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

Categories and Ranking

Avantra

Ranking in Application Performance Monitoring (APM) and Observability

52nd

Ranking in IT Infrastructure Monitoring

54th

Average Rating

8.6

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

SAP Service Providers (11th), Server Monitoring (29th)

Datadog

Ranking in Application Performance Monitoring (APM) and Observability

1st

Ranking in IT Infrastructure Monitoring

1st

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

211

Ranking in other categories

Network Monitoring Software (2nd), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (6th), AI Observability (1st)

Mindshare comparison

As of October 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Avantra is 1.3%, up from 0.3% compared to the previous year. The mindshare of Datadog is 4.2%, down from 7.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
Datadog	4.2%
Avantra	1.3%
Other	94.5%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Mani Velayudhan

Manager, SAP Basis at The Scotts Miracle-Gro Company

Useful automation capabilities, scales well, and simple implementation

We are currently exploring automation options for various areas, and Avantra should consider implementing automation for change request management, an area they have not yet ventured into. While Avantra is currently excelling in monitoring and system refreshes, there is scope for improvement in automating change request management. In addition to primarily focusing on SAP, Avantra currently performs kernel patches which are core SAP patches. However, exploring more into OS patching could be another potential area for Avantra to expand its automation capabilities. Looking ahead to future releases, I would like to see more advanced automation features. As a long-term goal, I am considering the possibility of automating SAP system upgrades. While this would not be an easy feat, advancements in technology may make it feasible in the future. Overall, a key feature I hope to see in future releases is increased automation capabilities.

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Dhroov Patel

Site Reliability Engineer at Grainger

Has improved incident response with better root cause visibility and supports flexible on-call scheduling

Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.

Read full review

Quotes from Members

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

Pros

"Deployment was amazingly short and simple; I do not think I have seen any SAP-related product installs ready to work so fast, and out-of-box it included most of the functions and settings that we needed."

"I definitely recommend this solution, it provides good value for money."

"It prevented two major failures in our SAP production systems."

"It's just very user-friendly, and it's very easy to monitor the servers using Avantra."

"It's very easy to manage and use."

"The most valuable feature of Avantra is automation. The reduction of manual work and having them automated is one of the top reasons why I would use it."

"You can customize alerts based on need."

"The initial setup is very straightforward."

"It has scaled great. I haven't run into any problems anywhere that I've used it. They have handled everything that we have needed them to."

"The pricing model makes more sense than what we paid for against other competitors."

"We rely heavily on the API crawlers that Datadog uses for cloud integrations. These allow us to pick up and leverage the tags teams have already deployed without having also to make them add them at the agent level."

"Datadog has impacted our organization positively because the general feeling is that it's superior to the ELK stack that we used to use, being significantly faster in searching and filtering the information down, as well as providing links to our search criteria that our development teams and cloud operations teams can use to look at the same problems without having to set up their own search and filter criteria."

"The dashboards are super convenient to us for a more zoomed out view of what is going on with each integration that we utilize."

"Datadog helps us detect issues early on and helps in troubleshooting."

"The integration and configuration are incredibly simple. The SaaS offering is remarkably easy to set up, especially if you're coming from a Graphite environment or anything that uses a StatsD."

More Datadog pros

Cons

"The dashboard needs to improve; it's not so clear right now and we need it to be more usable so we can have all of our reports in one easy-to-access place."

"I think they can improve their UI, while very intuitive, I would like to see graphic updates."

"A downside of Avantra is that it comes with predefined values."

"We are currently exploring automation options for various areas, and Avantra should consider implementing automation for change request management, an area they have not yet ventured into. While Avantra is currently excelling in monitoring and system refreshes, there is scope for improvement in automating change request management. In addition to primarily focusing on SAP, Avantra currently performs kernel patches which are core SAP patches. However, exploring more into OS patching could be another potential area for Avantra to expand its automation capabilities."

"The dashboard needs to improve."

"The machine-learning is lacking and should be improved."

"One thing to improve would be making it easier to see common patterns across traces."

"It lacks consistency in the APIs."

"If there were a more cost-effective manner of deploying the tool, we'd be more likely to adopt it more widely."

"Datadog could improve the flexibility with AI and ML concepts. This will allow customers to be more leveraged towards publishing."

"I would love to see more metrics or analytics in IoT devices."

"Managing dashboards as IaC is a bit hard to work out at times."

"The pricing model hurts and forces us to work around the tool sometimes."

"The ability to find what you are looking for when starting out could be improved."

More Datadog cons

Pricing and Cost Advice

Information not available

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

"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."

"Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."

"Pricing seemed easy until the bill came in and some things were not accounted for."

"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."

"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."

"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."

More Datadog pricing and cost advice

See which vendors are best for you

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Top Industries

By visitors reading reviews

Outsourcing Company

19%

Construction Company

12%

Manufacturing Company

Comms Service Provider

Financial Services Firm

14%

Manufacturing Company

10%

Outsourcing Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	81
Midsize Enterprise	50
Large Enterprise	100

Questions from the Community

Ask a question

Earn 20 points

Any advice about APM solutions?

There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...

See all answers

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 times lately using the dashboards we have created with Datadog; they are very good c...

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 the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...

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Comparisons

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Compared 11% of the time

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Compared 8% of the time

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Splunk AppDynamics vs Avantra

Compared 6% of the time

Splunk ITSI (IT Service Intelligence) vs Avantra

Compared 4% of the time

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Dynatrace vs Datadog

Compared 3% of the time

New Relic vs Datadog

Compared 3% of the time

Splunk AppDynamics vs Datadog

Compared 2% of the time

Splunk Enterprise Security vs Datadog

Compared 2% of the time

Wiz vs Datadog

Compared 2% of the time

More Datadog Competitors

Product Reports

Buyer's Guide

Avantra

October 2026

Download Avantra product report

Buyer's Guide

Datadog

October 2026

Download Datadog product report

Overview

Avantra is an industry-leading platform designed to automate SAP operations for enterprises. It optimizes SAP landscapes, ensuring efficient performance management to meet the demands of large-scale environments while reducing manual tasks.

Avantra automates SAP operations, providing tools that enhance efficiency and reliability. It assists enterprises with advanced monitoring, performance optimization, and predictive analytics, crucial for managing complex SAP landscapes. By integrating seamlessly with SAP environments, it offers comprehensive insights and automations that lead to improved operational control and reduced manual intervention. Businesses benefit significantly by bridging IT operations with business objectives, thereby facilitating more effective resource allocation and decision-making processes.

What are the key features of Avantra?

Automated Health Checks: Conducts daily system analysis for consistent performance tracking.
Predictive Monitoring: Uses AI for early detection of potential SAP issues to prevent downtime.
Customizable Dashboards: Offers a clear view of system performance with customizable metrics.
Integration Capabilities: Seamlessly fits into existing workflows with robust integrations.

What benefits or ROI should users expect?

Increased Efficiency: Automation reduces the workload on IT teams, freeing up resources.
Cost Reduction: Minimizes downtime and resource wastage, leading to cost savings.
Improved Decision Making: Real-time data insights enable better strategic planning.
Enhanced Performance: Boosts system stability and enhances user satisfaction.

Avantra is particularly beneficial in industries with heavy reliance on SAP systems, such as manufacturing and finance. It helps streamline operations, providing rapid responsiveness to market changes and regulatory requirements, ensuring that businesses remain competitive and compliant in their respective fields.

Avantra

Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.

Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.

What are Datadog's Key Features?

Sharable Dashboards: Facilitate collaboration with customizable, intuitive dashboards.
Extensive Integrations: Seamlessly connects with tools like Slack and AWS to support workflows.
APM and RUM: Provides deep insights into application performance and user interactions.
Real-Time Tools: Enables agile responses to system issues with real-time monitoring.
Unified Tagging and Visualization: Eases management of complex systems with simplified visualization.

What Benefits and ROI Should Users Look For?

Efficient Troubleshooting: Centralized logging speeds up the identification and resolution of issues.
Streamlined Workflows: Integrations with popular tools enhance operational efficiency.
Improved Observability: Comprehensive monitoring improves system reliability and performance.
Resource Optimization: Efficient microservices and container management leads to better cloud resource utilization.
Responsive Alerts: Customizable alerts ensure timely identification of critical issues.

In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.

Datadog

Sample Customers

Migros, Strauss, Migros, LAM research, Deloitte, Deloitte, Kiewit

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

Avantra vs. Datadog

September 2026

Free Report: Avantra vs. Datadog

Find out what your peers are saying about Avantra vs. Datadog and other solutions. Updated: September 2026.

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