🆚 Datadog vs. Sumo Logic
- 📈 Datadog is much more popular than Sumo Logic.
- 🌍 Datadog is more popular in all countries.
DatadogType
About
Datadog is a SaaS monitoring and security platform for infrastructure and applications that collects and correlates metrics, logs, and traces across cloud and on-premises systems.
It provides application performance monitoring with distributed tracing, real user and synthetic monitoring, log management, and cloud security features such as posture management and threat detection, and offers more than 1,000 built-in integrations with services such as 
AWS, 
Azure, and 
Google Cloud.
Sumo Logic is a cloud-based log management and analytics platform that collects, analyzes and visualizes log and event data from various sources.
Headquarters
Pricing
Categories
Popularity
Determined by the number of sites using each technology.
Market share
Popularity by country
Determined by the number of sites detected from each country.
Awards
- ⭐ 4th most popular in Indonesia in the Application Monitoring category.
- ⭐ 4th most popular in France in the Application Monitoring category.
- ⭐ 4th most popular in Japan in the Application Monitoring category.
- ⭐ 4th most popular in Korea in the Application Monitoring category.
- ⭐ 5th most popular in Singapore in the Application Monitoring category.
- ⬆️ 29th most popular in the United States in the Application Monitoring category.
Popularity by domain category
Determined by the number of sites in each category.
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
Datadog
Akamai mPulse
SpeedCurve
DebugBear
Sentry
New Relic
Dynatrace🗃️ About This Data
- We evaluate the popularity of technologies based on the number of websites where we detect their usage.
- Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
- This report is based on the analysis of 3,375,483 websites.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.