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Fluentd vs Sumo Logic: What are the differences?
Developers describe Fluentd as "Unified logging layer". Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure. 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.
Fluentd and Sumo Logic can be primarily classified as "Log Management" tools.
Some of the features offered by Fluentd are:
- Open source
- Flexible
- Minimum resources
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
Fluentd is an open source tool with 7.98K GitHub stars and 930 GitHub forks. Here's a link to Fluentd's open source repository on GitHub.
Repro, Geocodio, and 9GAG are some of the popular companies that use Fluentd, whereas Sumo Logic is used by Lyft, PagerDuty, and Netflix. Fluentd has a broader approval, being mentioned in 64 company stacks & 18 developers stacks; compared to Sumo Logic, which is listed in 57 company stacks and 7 developer stacks.
Pros of Fluentd
- Open-source11
- Easy9
- Great for Kubernetes node container log forwarding9
- Lightweight9
Pros of Sumo Logic
- Search capabilities11
- Live event streaming5
- Pci 3.0 compliant3
- Easy to setup2
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Cons of Fluentd
Cons of Sumo Logic
- Expensive2
- Occasionally unreliable log ingestion1
- Missing Monitoring1