Hi everyone. I'm setting up a new data pipeline and my security team is recommending Check Point Quantum for protecting the cloud environment (mostly BigQuery and the VMs running our Airbyte/airflow instances).
I've been asked to provide feedback, but the initial quote seems... steep? 😅
My context is purely cost/benefit for a data platform:
* We need to secure API access to BigQuery and our data ingestion endpoints.
* The main sell was the "threat prevention" and "API security" features.
* Our data flow volume is high but relatively predictable.
For those using it:
* Does the pricing scale in a way that makes sense for heavy data transfer, not just user traffic?
* Are the advanced features (like the "Quantum AI Cloud" bit) must-haves, or can we start smaller?
Trying to see if the cost aligns with the value for a data engineering stack, or if we're overbuying. Any real-world numbers or licensing gotchas would be super helpful.
Here's a simplified view of our architecture they'd be protecting:
```yaml
source_systems -> airbyte_ingestion -> bigquery_raw -> dbt_transforms -> bigquery_analytics
```