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.
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.
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 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.