Data read by queries is the volume of data Propel needs to scan to answer a query. The amount depends on the size of your dataset and the complexity of your query.

For example, a query for the last 24 hours on a small dataset will read less data than a query for the last five years on a large dataset.

Data written is data that you write into Propel Data Pools in the form of:

• Data ingested into Data Pools.
• Data updated or deleted in Data Pools.
• Data inserted by Materialized views into Data Pools.

The easiest way is to sign up for the free tier and build a proof of concept. In the API Playground, you can see how much data is read by each query you run.

Capacity commitments give you volume discounts. Contact sales for more information.

Yes. You can expect significant compression depending on the data.

Propel measures the amount of data stored every hour. At the end of the month, It sums all the GBs counted and multiplies them by the GB-hour price.

Data is stored in AWS us-east-2 region. If you have requirements to deploy in another region, we can store data in other regions. Please contact sales.