Datadog vs Sysdig: What are the differences?
Developers describe Datadog as "Unify logs, metrics, and traces from across your distributed infrastructure". Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!. On the other hand, Sysdig is detailed as "Open source container monitoring for all Linux container technologies, including Docker, LXC, etc". Sysdig is open source, system-level exploration: capture system state and activity from a running Linux instance, then save, filter and analyze Sysdig is scriptable in Lua and includes a command line interface and a powerful interactive UI, csysdig, that runs in your terminal. Think of sysdig as strace + tcpdump + htop + iftop + lsof + awesome sauce. With state of the art container visibility on top..
Datadog belongs to "Performance Monitoring" category of the tech stack, while Sysdig can be primarily classified under "Monitoring Tools".
Some of the features offered by Datadog are:
- 14-day Free Trial for an unlimited number of hosts
- 200+ turn-key integrations for data aggregation
- Clean graphs of StatsD and other integrations
On the other hand, Sysdig provides the following key features:
- Real-Time Dashboard
- Historical Replay
- Dynamic Topology
"Monitoring for many apps (databases, web servers, etc)" is the top reason why over 118 developers like Datadog, while over 2 developers mention "Easy setup" as the leading cause for choosing Sysdig.
Sysdig is an open source tool with 5.68K GitHub stars and 526 GitHub forks. Here's a link to Sysdig's open source repository on GitHub.
Shopify, Salesforce, and Starbucks are some of the popular companies that use Datadog, whereas Sysdig is used by Vungle, CommonBond, and Gini. Datadog has a broader approval, being mentioned in 532 company stacks & 213 developers stacks; compared to Sysdig, which is listed in 5 company stacks and 4 developer stacks.
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