How It Works
Write code locally, push to AWS with one command
Manage everything online
Key feature comparison
30 minutes to deploying your first task
1-2 days minimum. Need to setup hardware (server, database, message queues), install packages + dependencies
Hosted solution. Zero maintenance of CloudReactor instance required.
Need to set up monitoring on Airflow server. Installing upgrades to Airflow packages and dependencies is time consuming and could lead to a system halt
Code in your existing language. Code is deployed as a task to AWS ECS
Need to learn Airflow-specific concepts such as operators, hooks, DAGs, workers and schedulers. Extensive tutorials available online.
Create workflows in seconds (really) with a UI-based editor
Workflows (DAGs) are defined via code. This allows for extreme flexibility, but also makes creation onerous
Open source: no support available
Compute capacity for running tasks
Runs serverless on AWS ECS Fargate. Scaling is simple
Airflow instances have to be provisioned for peak capacity. Scaling capacity may not be straightforward
Run the CloudReactor command-line wizard. It connects to your AWS environment, and allows you to set up all required AWS infrastructure to support serverless tasks -- for example, ECS clusters, VPC, subnets, and CloudReactor IAM role. Finally, it imports the settings required so you can manage tasks within CloudReactor.
$ ./wizard.sh Loading...
Get started for free today
For anyone who wants to try the platform
Full CloudReactor product and features
Manage up to 10 distinct tasks for free
Up to 75 tasks
Support within 24 hours
Need over 75 tasks? We offer bulk discounts for larger enterprises.
Tiered pricing discounts
Dedicated support 24/7
Open Source or Non-Profit?
Let us know and we'll give your organization 50 free tasks plus generous price discounts.
Ready to get started?
Sign up for your free login and CloudReactor API key!