Struggling to choose between Nagios and Axibase Time Series Database? Both products offer unique advantages, making it a tough decision.
Nagios is a Network & Admin solution with tags like monitoring, alerting, uptime, server.
It boasts features such as Monitoring of network services (HTTP, SMTP, POP3, ICMP, etc), Monitoring of host resources (processor load, disk usage, etc), Simple plugin design for easy extensibility, Alerting and notification when problems arise, Web interface for viewing current network status, alerts and reports, Support for SNMP polling for switch/router monitoring, Remote monitoring capabilities with secure tunneling and pros including Open source and free, Highly customizable and extensible, Wide range of plugins available, Alerting helps identify issues quickly, Good community support.
On the other hand, Axibase Time Series Database is a Ai Tools & Services product tagged with time-series, database, iot, devops, it-monitoring.
Its standout features include Store and query numeric time series data, Analyze time series data using SQL queries, Visualize time series data using built-in graphing tools, Real-time aggregation and filtering of time series data, Rule-based alerting on time series, Plugin architecture to extend functionality, REST API for integration, and it shines with pros like Purpose-built for time series data, High performance and scalability, Powerful analytics capabilities, Open source and free to use, Easy to set up and use.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Nagios is an open-source monitoring system that allows administrators to monitor network infrastructure like servers, switches, applications, and services. It can notify users when issues arise and help identify problems in a timely manner.
Axibase Time Series Database (ATSD) is an open-source time series database optimized for collecting, storing, analyzing, graphing, and visualizing numeric time series data. It is designed for IoT/DevOps/IT monitoring use cases.