Fluent Bit vs NanoLog
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is a super fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments. | It is an extremely performant nanosecond scale logging system for C++ that exposes a simple printf-like API and achieves over 80 million logs/second at a median latency of just over 7 nanoseconds. |
Designed with performance in mind;
Prometheus and OpenTelemetry compatible;
Stream processing functionality;
Robust I/O handler | Nanosecond scale logging system for C++;Exposes a simple printf-like API; Achieves over 80 million logs/second ; Enables low latency logging by deduplicating static log metadata |
Statistics | |
GitHub Stars 7.4K | GitHub Stars 3.3K |
GitHub Forks 1.8K | GitHub Forks 366 |
Stacks 67 | Stacks 7 |
Followers 27 | Followers 7 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
What are some alternatives to Fluent Bit, NanoLog?
Papertrail
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Logmatic
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Loggly
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Logentries
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Logstash
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.
Graylog
Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.
Sematext
Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.
Fluentd
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.
Seq
Seq is a self-hosted server for structured log search, analysis, and alerting. It can be hosted on Windows or Linux/Docker, and has integrations for most popular structured logging libraries.
ELK
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.
