Cube vs OpenTSDB

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

Cube is a Development solution with tags like opensource, workflow, automation, scheduling, monitoring.

It boasts features such as 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 pros including Open source and free, Easy to use drag and drop interface, Scalable and lightweight, Robust workflow orchestration capabilities, Good community support.

On the other hand, OpenTSDB is a Development product tagged with time-series, monitoring, analytics.

Its standout features include 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 it shines with pros like 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.

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.

Cube

Cube

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.

Categories:
opensource workflow automation scheduling monitoring

Cube Features

  1. Visual workflow designer
  2. REST API
  3. Cron scheduling
  4. Monitoring and alerts
  5. Version control
  6. Role based access control
  7. Integration with databases
  8. Integration with APIs
  9. Integration with cloud platforms

Pricing

  • Open Source
  • Free

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


OpenTSDB

OpenTSDB

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.

Categories:
time-series monitoring analytics

OpenTSDB Features

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

Pricing

  • Open Source

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