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Datadog mindshare

As of August 2025, the mindshare of Datadog in the Cloud Monitoring Software category stands at 9.3%, down from 12.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Cloud Monitoring Software Market Share Distribution
ProductMarket Share (%)
Datadog9.3%
Zabbix16.5%
New Relic5.8%
Other68.4%
Cloud Monitoring Software

PeerResearch reports based on Datadog reviews

TypeTitleDate
CategoryCloud Monitoring SoftwareAug 30, 2025Download
ProductReviews, tips, and advice from real usersAug 30, 2025Download
ComparisonDatadog vs ZabbixAug 30, 2025Download
ComparisonDatadog vs Azure MonitorAug 30, 2025Download
ComparisonDatadog vs Auvik Network Management (ANM)Aug 30, 2025Download
Suggested products
TitleRatingMindshareRecommending
Wazuh3.7N/A80%48 interviewsAdd to research
Wiz4.5N/A95%22 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business64
Midsize Enterprise40
Large Enterprise69
By reviewers
By visitors reading reviews
Company SizeCount
Small Business1110
Midsize Enterprise622
Large Enterprise2836
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
14%
Manufacturing Company
8%
Healthcare Company
6%
Retailer
5%
Comms Service Provider
4%
Media Company
4%
University
4%
Government
4%
Insurance Company
4%
Educational Organization
4%
Real Estate/Law Firm
3%
Energy/Utilities Company
3%
Construction Company
2%
Non Profit
2%
Performing Arts
2%
Outsourcing Company
2%
Hospitality Company
2%
Legal Firm
2%
Transportation Company
2%
Consumer Goods Company
2%
Wholesaler/Distributor
1%
Recreational Facilities/Services Company
1%
Pharma/Biotech Company
1%
Logistics Company
1%

Compare Datadog with alternative products

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Datadog customers

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Datadog Reviews Summary
Author infoRatingReview Summary
Senior Product Manager at Redfin Corp4.0I use Datadog for monitoring frontend and backend performance, cloud cost management, and service health visualization. It's easy to share insights, but improvement is needed in regional settings, link sharing, query suggestions, and understanding certain metrics.
DevOps/Security Principal at Raken4.0We use Datadog for comprehensive monitoring and analysis, from infrastructure to applications. Its log management and alert features are valuable, though costs accumulate quickly. Despite this, its benefits justify our choice over alternatives like New Relic, Grafana, and Splunk.
Senior Software Engineer at Los Angeles Times Communications, LLC4.0We rely on Datadog to monitor our diverse systems, benefiting from its ability to integrate data from multiple sources into a comprehensive view. Its Service Map simplifies architecture visualization, though onboarding could use more interactive, real-world tutorials for new users.
DevOps Engineering Lead at Hellenic Bank Public Company Ltd3.5We utilize Datadog for monitoring our Azure and AKS infrastructure with emphasis on dashboards for system observability. While valuable, we face challenges with root cause analysis and pricing complexities. Previously, we used Elastic and considered alternatives like Splunk and ELK.
Site Reliability Engineer at Icario4.5We use Datadog to monitor our AWS infrastructure, benefiting from its Terraform provider and K8s Orchestrator for scalability and management. Although billing clarity needs improvement, Datadog remains more integrated and effective than previous solutions like New Relic.
Manager, System at Visma4.5In our organization, Datadog serves as a centralized tool for comprehensive monitoring and analysis, empowering internal customers with real-time insights. We value the versatile Agents feature but see a need for more detailed billing reports for better financial management.
Software Architect at Keller Williams Realty, Inc.4.5We use Datadog for comprehensive observability, leveraging APM, RUM, and other features. Though the cost is high and features rapidly evolve, integration with other tools is helpful. We previously considered New Relic and Dynatrace for our Google Cloud infrastructure.
Engineering Manager at RVshare4.5My primary use of Datadog is to enhance monitoring and understand application performance. APM is highly valuable, but onboarding developers can be challenging due to Datadog's extensive offerings. Despite this, it remains superior to New Relic.