Datacol vs Heroku

Heroku is a cloud Platform-as-a-Service (PaaS) supporting several programming languages that is used as a web application deployment model. Heroku is a great way to quickly build, innovate, and deploy a new product or service. It can be an excellent choice in early stage since not having to worry about operational issues reduce the time to market significantly.

Datacol provides similar features and developer experience but doesn’t limit flexibility and scalability provided by cloud. There comes a point, however, where many organizations outgrow their one-size-fits-all PaaS. Some common reasons include:

Though Datacol provides a Heroku type control-layer over Google cloud, it does not limit your developer experience. You can anytime delete Datacol infrastructure from your account and applications will still be running and portable, giving you similar flexibility and control of a cloud.

Feature Datacol Heroku
Price & Performance Cheaper & much better performance-per-dollar 2x-3x
Privacy Private & Single Tenant Limited & Multi-tenant
Regional Constraints Supported Regions Limited Regions
Security Compliance Yes No
Scheduler Kubernetes based on containers Heroku Dyno