Apperate provides simple, fast ways to store varying amounts of data. We group them into two camps:
Writing data: Writing small amounts of data (one record or a few) in real-time.
Loading data: Importing variable amounts of data from a data source such as a file, URL, S3 bucket. Apperate’s console and APIs support scheduling, monitoring, and detailed logging for data imports.
What’s more is both ways have options for creating a dataset schema for you automatically, if you don’t already one.
The following articles get you started with storing data to Apperate.
Write Data with the apperate.write() JS Method and Write Data Records with POST /record demonstrate writing data records in a fast, light-weight manner. Their asynchronous option supports making multiple write calls simultaneously, writing records in parallel. By default these real-time writes are synchronous, returning a response after the data is available to query.
Apperate’s data loading features are great for batch-writing data from various sources. Here are the data loading articles:
Enjoy writing and loading data into Apperate to support your applications!