ELK vs Logentries: What are the differences?
Developers describe ELK as "The acronym for three open source projects: Elasticsearch, Logstash, and Kibana". It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch. 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.
ELK and Logentries belong to "Log Management" category of the tech stack.
PedidosYa, Accenture, and Movielala are some of the popular companies that use Logentries, whereas ELK is used by Troopers, VCCloud, and home24. Logentries has a broader approval, being mentioned in 136 company stacks & 18 developers stacks; compared to ELK, which is listed in 53 company stacks and 14 developer stacks.
Sign up to add or upvote prosMake informed product decisions
Sign up to add or upvote consMake informed product decisions
What is ELK?
What is Logentries?
Need advice about which tool to choose?Ask the StackShare community!
Sign up to get full access to all the companiesMake informed product decisions
Sign up to get full access to all the tool integrationsMake informed product decisions