Logstash vs Sumo Logic: What are the differences?
Developers describe Logstash as "Collect, Parse, & Enrich Data". Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana. On the other hand, Sumo Logic is detailed as "Cloud Log Management for Application Logs and IT Log Data". Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.
Logstash and Sumo Logic belong to "Log Management" category of the tech stack.
Some of the features offered by Logstash are:
- Centralize data processing of all types
- Normalize varying schema and formats
- Quickly extend to custom log formats
On the other hand, Sumo Logic provides the following key features:
- Ability to collect data from on-premise sources, private/public/hybrid clouds, and SaaS/PaaS environments
- Real-time continuous query engine that constantly updates dashboards and reports for immediate visualization
- Anomaly detection engine that enables companies to proactively uncover events without writing rules
"Free" is the top reason why over 60 developers like Logstash, while over 8 developers mention "Search capabilities" as the leading cause for choosing Sumo Logic.
Logstash is an open source tool with 10.3K GitHub stars and 2.78K GitHub forks. Here's a link to Logstash's open source repository on GitHub.
According to the StackShare community, Logstash has a broader approval, being mentioned in 561 company stacks & 278 developers stacks; compared to Sumo Logic, which is listed in 57 company stacks and 7 developer stacks.