OpenTSDB vs Cube

Struggling to choose between OpenTSDB and Cube? Both products offer unique advantages, making it a tough decision.

OpenTSDB is a Development solution with tags like time-series, monitoring, analytics.

It boasts features such as Distributed and horizontally scalable architecture, Built on top of HBase for reliability and scalability, Customizable rollup tables for aggregating data, Tag-based metric model for organizing time series data, HTTP API for writing and querying data, Support for downsampling and aggregation of data, Plugin architecture for adding functionality and pros including Handles massive amounts of time series data, Low latency queries, Easy to scale horizontally, Integrates well with Hadoop ecosystem, Open source and free to use.

On the other hand, Cube is a Development product tagged with opensource, workflow, automation, scheduling, monitoring.

Its standout features include Visual workflow designer, REST API, Cron scheduling, Monitoring and alerts, Version control, Role based access control, Integration with databases, Integration with APIs, Integration with cloud platforms, and it shines with pros like Open source and free, Easy to use drag and drop interface, Scalable and lightweight, Robust workflow orchestration capabilities, Good community support.

Feature	OpenTSDB	Cube
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

OpenTSDB

Description: OpenTSDB is a distributed, scalable time series database optimized for storing and serving massive amounts of time series data without losing granularity. It's designed to be used as a backend for monitoring systems and analytics platforms.

Cube

Description: Cube is an open-source workflow engine and automation platform that allows you to build, schedule, orchestrate and monitor workflows and jobs. It is lightweight, scalable and provides a visual programming interface.

Key Features Comparison

OpenTSDB Features

• Distributed and horizontally scalable architecture
• Built on top of HBase for reliability and scalability
• Customizable rollup tables for aggregating data
• Tag-based metric model for organizing time series data
• HTTP API for writing and querying data
• Support for downsampling and aggregation of data
• Plugin architecture for adding functionality

Cube Features

• Visual workflow designer
• REST API
• Cron scheduling
• Monitoring and alerts
• Version control
• Role based access control
• Integration with databases
• Integration with APIs
• Integration with cloud platforms

Pros & Cons Analysis

OpenTSDB

Pros

• Handles massive amounts of time series data
• Low latency queries
• Easy to scale horizontally
• Integrates well with Hadoop ecosystem
• Open source and free to use

Cons

• Limited ad-hoc querying capabilities
• Steep learning curve
• Not optimized for real-time streaming data
• No built-in visualization or dashboarding

Cube

Pros

• Open source and free
• Easy to use drag and drop interface
• Scalable and lightweight
• Robust workflow orchestration capabilities
• Good community support

Cons

• Steep learning curve
• Limited integrations compared to enterprise platforms
• Not ideal for complex workflows
• Basic UI lacking polish

Pricing Comparison

OpenTSDB

• Open Source

Cube

• Open Source
• Free