Elasticsearch vs Logentries: What are the differences?
Developers describe Elasticsearch as "Open Source, Distributed, RESTful Search Engine". Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack). On the other hand, Logentries is detailed as "Real-time log management and analytics built for the cloud". Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.
Elasticsearch and Logentries are primarily classified as "Search as a Service" and "Log Management" tools respectively.
Some of the features offered by Elasticsearch are:
- Distributed and Highly Available Search Engine.
- Multi Tenant with Multi Types.
- Various set of APIs including RESTful
On the other hand, Logentries provides the following key features:
- Logs as Metrics - Extract field level values, analyze them using powerful search functions, and visualize them with detailed dashboards.
- Dynamic Log Correlation - Dynamically group and correlate your logs in a single dashboard, or aggregate logs from a particular system to give an end-to-end view.
- Live Tail - View your streaming logs in real-time and highlight important events to easily see errors or exceptions in your live data.
"Powerful api" is the top reason why over 310 developers like Elasticsearch, while over 31 developers mention "Log search" as the leading cause for choosing Logentries.
Elasticsearch is an open source tool with 41.9K GitHub stars and 14K GitHub forks. Here's a link to Elasticsearch's open source repository on GitHub.
According to the StackShare community, Elasticsearch has a broader approval, being mentioned in 1976 company stacks & 936 developers stacks; compared to Logentries, which is listed in 136 company stacks and 18 developer stacks.
