Ganglia vs Axibase Time Series Database

Struggling to choose between Ganglia and Axibase Time Series Database? Both products offer unique advantages, making it a tough decision.

Ganglia is a Network & Admin solution with tags like monitoring, metrics, utilization, bottlenecks, faults, distributed-systems.

It boasts features such as Real-time monitoring of clusters and grids, Collection of metrics like CPU usage, memory usage, network traffic, Visualization of metrics through web interface, Alerting based on thresholds, Support for heterogeneous clusters with different architectures, Scalable to clusters with thousands of nodes and pros including Open source and free, Easy to set up and configure, Low overhead, Web interface for easy access to metrics, Extensible and customizable using plugins, Widely used and supported.

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.

Feature	Ganglia	Axibase Time Series Database
Overall Score	N/A	N/A
Primary Category	Network & Admin	Ai Tools & Services

Product Overview

Ganglia

Description: Ganglia is an open-source monitoring system for high-performance computing systems such as clusters and grids. It collects and visualizes various metrics like CPU utilization, memory usage, network traffic etc. in real-time. It allows for easy identification of bottlenecks and faults in distributed systems.

Axibase Time Series Database

Description: 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.

Key Features Comparison

Ganglia Features

• Real-time monitoring of clusters and grids
• Collection of metrics like CPU usage, memory usage, network traffic
• Visualization of metrics through web interface
• Alerting based on thresholds
• Support for heterogeneous clusters with different architectures
• Scalable to clusters with thousands of nodes

Axibase Time Series Database Features

• 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

Pros & Cons Analysis

Ganglia

Pros

• Open source and free
• Easy to set up and configure
• Low overhead
• Web interface for easy access to metrics
• Extensible and customizable using plugins
• Widely used and supported

Cons

• Setup can be complex for large clusters
• Not optimized for containerized environments
• Web UI is basic and lacks customization
• Limited support for visualization and analytics

Axibase Time Series Database

Pros

• 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

Cons

• Limited to time series data only
• Steep learning curve for full functionality
• Limited ecosystem compared to more established databases

Pricing Comparison

Ganglia

• Open Source

Axibase Time Series Database

• Open Source
• Free
• Subscription-Based