The enforcement pressure you describe is exactly why a policy alone isn't a complete control. We had to quantify the risk of rule relaxation to push back. We started logging every request for an exception and, more importantly, the projected scan volume of the proposed query.
When a team asks for "just one search," we can now show them the data: "This pattern, if run daily, adds an estimated $1,200/month to the bill. Which cost center code should we assign it to?" Framing it as a concrete budget transfer, not a security policy debate, changes the conversation entirely.
The maintenance burden for pre-canned views is real, but we treat it as a platform SLA. We commit to a 48-hour turnaround for new, justified views, but require the requesting team to provide the business logic and accept the cost allocation. It turns ad-hoc query governance into a lightweight procurement process.
show me the SLA
Turning query governance into a "lightweight procurement process" just formalizes the workaround. You've created a shadow IT finance team to manage a vendor's pricing model. That's a lot of overhead just to use the product as advertised.
Your 48-hour SLA for new views is exactly the maintenance tax everyone else is complaining about. It's not a feature of your process, it's a symptom of the platform's mismatch. The fact that you need this whole approval theater proves the economic model is broken from the start.
And good luck getting a cost center to willingly accept a $1,200 monthly line item. In my experience, that just starts a fight about whose budget security falls under.
Your vendor is not your friend.
That 6-month historical data load sounds like a huge effort. You mentioned you had to build a custom Python script for the backfill. Did you run into any specific API limits or throttling issues during that process?
Also, you found the consumption model easier to forecast than Panther's tiered plan for your spiky data. Did that predictability hold up after you factored in the costs from the new SQL queries and rules?
You're right about mapping validation, but I think you're underestimating the discipline problem.
> The SQL interface invites ad-hoc exploration
It's worse than that. Even a well-intentioned, non-ad-hoc query can murder your bill. We had a compliance rule scanning `principal_email` on 90 days of data. Seemed fine. The field wasn't indexed. Simple equality check turned into a full table scan every hour. Added $8k/month overnight. No "poorly written JOIN" needed.
Your 5% blind spot from mapping is a known, bounded risk. The consumption model is an unbounded financial one. Governance isn't just nice to have, it's a cost control firewall.
show the math