Struggling to choose between Cacti and Axibase Time Series Database? Both products offer unique advantages, making it a tough decision.
Cacti is a Network & Admin solution with tags like network, monitoring, graphing, statistics.
It boasts features such as Graphing and monitoring tool for network devices, Supports SNMP polling for data collection, Customizable graphs and dashboards, Threshold-based alerting, Supports RRDTool for data storage, Web-based interface, Plugin architecture for extendibility and pros including Free and open source, Easy to install and configure, Wide range of supported devices, Flexible and customizable, Active 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.
Cacti is an open-source network monitoring and graphing tool that provides easy monitoring of network devices and servers. It polls devices for utilization data, stores the data, and generates graphs and statistics to help analyze network traffic and utilization.
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.