Parabola is a visual coding tool that gives you power over data, enabling anyone to work with large data sets, use APIs, and automate workflows, all without writing a single line of code. Parabola is easy to learn, because everything is drag-and-drop. If you have data that could exist as a table (picture your favorite spreadsheet tool), you can use Parabola to make manipulating that data easy, and maybe even fun.
In Parabola, you’ll create flows. Flows consist of a series of steps that take action on your data: they can pull data into Parabola, transform data, or push data out of Parabola.
If you can think of instructions for what you want to do with your data, you can make a flow in Parabola, and we’ll show you how. Your flows can be as simple or complex as you need. You can run them manually, or you can automate them to run on a schedule.
Because of its flexibility, you can use Parabola for a wide range of data-related tasks, such as:
- Pulling data from an API that you have access to
- Combining data from multiple sources
- Creating custom integrations between multiple services
- Aggregating data into digestible reports
- Automating tasks that you perform in spreadsheets
The mark of a good use case for Parabola is a task that can be performed on a batch of data, as opposed to data that’s “live” or “streaming.” Since flows can be easily saved, shared, and used again and again, Parabola is especially good for tasks that need to be performed periodically on new batches of data. Parabola works best with data that could exist in a spreadsheet, and also supports JSON data (which many RESTful APIs return).
Updated about a year ago