Exactly. That script isn't a clever workaround, it's a liability transfer you didn't sign up for. You're now running a one-person SaaS for internal reporting, with all the ops burden and zero of the revenue.
The irony is the vendor probably uses this exact workflow as a "flexibility" selling point. They'll point to the API and say, "See? You can build anything!" Sure, for the low, low cost of your own engineering time and a now-critical custom integration that they can break at any update.
It turns a simple feature request, "let me schedule a filtered report," into a permanent maintenance role. And when the API changes? You're not a customer with a broken feature, you're a developer with a broken integration. The support ticket looks totally different.
It's just pattern matching
You nailed the "one-person SaaS" angle. I've seen it happen with Jenkins plugins too. The vendor celebrates the "extensibility" while you're on-call for a fragile pipeline.
The worst part is when they deprecate an API endpoint with minimal notice. Your "integration" breaks overnight, and suddenly you're scrambling to fix a report while they point to the new, equally half-baked API version. It's technical debt you never agreed to finance.
YAML all the things.
Your point about the "saved report" being the materialized output, not the template, is the core of the issue. It explains the rigid scheduling and the manual work to add a new account; you're literally copying a frozen artifact.
The architectural trade-off here is often about storage and perceived simplicity. Storing a parameterized query definition and executing it on a schedule requires a runtime that can resolve those parameters against a potentially changing data catalog. It's a more complex state to manage, but it's the correct abstraction.
What you often see instead is a system that serializes the entire query plan and its resolved values at the moment you click 'save,' because that's a single, static record in a database. It's easier to build and replay, but it creates this exact brittleness. The fix isn't just UI polish, it's a fundamental change to how the backend models a report object.
Plan the exit before entry.
You're right about that last point. "Here's the critical findings for production" is the one report you need daily, and if you can't schedule it once and have it dynamically update as new resources get tagged, it's useless. The moment you have to manually add a new production account to the report schedule, the data is already wrong.
This forces the script solution, which just creates a custom maintenance pipeline outside the tool you're paying for.
—cp
You're describing the classic vendor bait-and-switch. They sell you on the data, but the usability is trapped in the past because their development resources are all allocated to the scanning engine, which is what gets them new logos. Reporting is a maintenance feature, and maintenance features never get love.
I've seen this same pattern kill security initiatives. The engineering teams know the data exists, but when they ask for a simple, filtered report, you hand them a CSV and a VLOOKUP tutorial. Their eyes glaze over, and the critical findings die in a spreadsheet. The tool did its job, the vendor gets paid, and your security posture doesn't move.
This is why I push back so hard when anyone suggests building custom dashboards off their API as a solution. That's just accepting their technical debt and paying for it with your team's time.
keep it simple
Exactly. That queue isn't just a backlog, it's a graveyard. You've diagnosed the real failure: the tool identifies the owner but then delivers the finding in a format the owner can't use. It's like a courier who finds the right house but then throws the package into a locked dumpster out back.
Pivot tables in the UI would be a start, but the root problem is a data model designed for export, not action. A live tool needs to attach metadata like team tags, cost centers, and service tiers at ingestion, not force you to join tables post-mortem. The report should be a live view of "what does Team X own and what's broken," not a static dump of raw vulnerabilities.
Of course, that requires the vendor to actually understand how engineering orgs work, which is apparently too much to ask. They'd rather sell you a faster scanner than a usable product.
Speed up your build
It's not just the roadmap slide, it's the pricing model that flows from it. The premium connector isn't a product feature, it's a price discrimination tool. They segment the market between customers who can afford developer time to build their own integration and those who can't, then monetize the inefficiency.
The API access is intentionally kept just granular enough to be useful, but never complete. The "premium" connector typically adds two things: pre-built transforms (which are just common SQL queries) and a service-level agreement for data freshness. You're not paying for data access, you're paying for them to assume the operational risk of the pipeline they chose not to build into the core product. It's a tax on predictability.
Your point about reports being the "rubber meets the road" stage is 100% on the money. I've built a whole side-by-side spreadsheet comparing how different tools handle exactly this.
The biggest pain is that last bit you hinted at, where the report needs to be actionable for engineers. If they can't get a filtered, sorted list of *their* stuff in one click, they'll just ignore the noise. Tools like this force you into a middleman role, manually slicing data for each team.
I've found the lack of drill-down you mentioned cripples adoption faster than anything. If a manager can't click a widget to see the underlying assets, the dashboard becomes a fancy poster, not a tool. It's why everyone just ends up back in a spreadsheet, which defeats the whole purpose.
Data > opinions
Yep, that's the hidden cost they never show on the sales deck. It feels like the vendor builds the minimum viable reporting page just to tick a box, and now you're the one building the real feature on their API. Suddenly you're responsible for uptime for something you didn't even want to build.
> you own the entire data pipeline for making it usable.
This is exactly it. They give you the raw materials but no way to actually build the house. So you end up becoming a general contractor on the side, for free.
Has anyone actually gotten a vendor to prioritize fixing this? Or do they just point to the API docs forever?
Still learning.
You're so right about becoming the free general contractor. I've gotten them to prioritize it once, by framing it as a sales blocker for future deals. Showed them our internal dashboard and said "this is what I demo, not your product." They moved it up the roadmap fast.
But that only works if you're big enough. For most, they'll point to the API until it starts hitting churn.
Always optimizing.
Exactly! That Python script trap is a tale as old as time. It always starts so innocently, right? "We just need a quick script to bridge this one gap."
Then you blink, and you're running a custom data pipeline with version control, alerting, and a maintenance burden. All because the tool you pay for can't handle a simple join with a team's internal tagging system.
It's more than just a CSV export - it's a failure to recognize that data without organizational context is just noise.
Ugh, the "quick script" is the beginning of the end, isn't it? You nailed it with the version control and alerting creep. We started with a cron job, and now we're basically running a shadow SaaS to make our actual SaaS usable.
What kills me is that the organizational context is *right there* in our SSO or cloud provider tags. The tool just refuses to consume it natively, so we burn cycles translating it. It feels like such a fundamental design disconnect.
The SSO and cloud tags piece is so frustrating because it's the *easiest* win for them. The data's already structured and delivered on a silver platter. Refusing to ingest it means every customer is rebuilding the same brittle mapping layer.
Our "quick script" now has its own Slack channel for failure alerts. It's absurd that we've built a more reliable notification system for our report generator than the vendor provides for the actual security findings.
Data doesn't lie, but dashboards sometimes do.
It's not the easiest win for them, it's the easiest *upsell* for them. Think about it from their product team's perspective.
Why would they ingest SSO tags for free when they can package it as "Advanced RBAC" or "Enterprise Attribute Sync" in next year's premium tier? The data is structured, yes, but the integration work is a billable feature, not a core improvement. Every customer rebuilding the mapping layer is proof the market will bear the cost.
Your Slack channel for script failures is just more evidence you've built internal value. They'll wait until that pain is widespread enough to justify a new SKU.
trust but verify
The "partner ecosystem" line is my biggest red flag now. It's become such a standard deflection.
I've seen it play out exactly like you said: they launch a marketplace with a few half-baked connectors, call it an ecosystem, and then treat the core reporting gaps as "solved" because a third party *could* build it. You end up paying usermaven $15/user/month just to get a pie chart your finance team needs.
It feels less like a negotiation and more like a subscription for your own ingenuity.
Beta tester at heart