![]() ![]() Here's a link to Elasticsearch's open source repository on GitHub.Īccording to the StackShare community, Elasticsearch has a broader approval, being mentioned in 2596 company stacks & 5481 developers stacks compared to Datadog, which is listed in 687 company stacks and 1196 developer stacks. "Monitoring for many apps (databases, web servers, etc)", "Easy setup" and "Powerful ui" are the key factors why developers consider Datadog whereas "Powerful api", "Great search engine" and "Open source" are the primary reasons why Elasticsearch is favored.Įlasticsearch is an open source tool with 43.2K GitHub stars and 14.5K GitHub forks. Distributed and Highly Available Search Engine. ![]() On the other hand, Elasticsearch provides the following key features: Clean graphs of StatsD and other integrations.200+ turn-key integrations for data aggregation.14-day Free Trial for an unlimited number of hosts.Some of the features offered by Datadog are: Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).ĭatadog can be classified as a tool in the "Performance Monitoring" category, while Elasticsearch is grouped under "Search as a Service". Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Start monitoring in minutes with Datadog! Elasticsearch: Open Source, Distributed, RESTful Search Engine. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Datadog is the leading service for cloud-scale monitoring. Datadog vs Elasticsearch: What are the differences?ĭatadog: Unify logs, metrics, and traces from across your distributed infrastructure. ![]()
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