Axibase Time Series Database vs Cube

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

Axibase Time Series Database is a Ai Tools & Services solution with tags like time-series, database, iot, devops, it-monitoring.

It boasts features such as 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 pros including 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.

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.

Axibase Time Series Database

Axibase Time Series Database

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.

Categories:
time-series database iot devops it-monitoring

Axibase Time Series Database Features

  1. Store and query numeric time series data
  2. Analyze time series data using SQL queries
  3. Visualize time series data using built-in graphing tools
  4. Real-time aggregation and filtering of time series data
  5. Rule-based alerting on time series
  6. Plugin architecture to extend functionality
  7. REST API for integration

Pricing

  • Open Source
  • Free
  • Subscription-Based

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


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