Having evaluated numerous SASE and cloud security platforms from an observability integration perspective, the 'unlimited data' claims for remote network traffic always warrant scrutiny. The primary catch isn't the volume metric itself, but the architectural and operational constraints that effectively limit its utility.
From a monitoring standpoint, the limitation often manifests in the quality and granularity of the logs and traces you can export. While you may push terabytes of netflow data, the platform might only allow you to export aggregated summaries or sampled security events to your SIEM or observability pipeline. For true unlimited data, you need unfettered access to the raw, unsampled flow logs. A common workaround is to use their API, but you'll quickly encounter rate limits and cost implications for high-volume extraction.
Consider this basic example of a Prisma Access API call for log retrieval. The `limit` and `pageSize` parameters are where the practical limits become apparent, throttling how much 'unlimited' data you can actually consume programmatically in a given timeframe.
```python
# Example log retrieval query - note the pagination constraints
query_params = {
'queryType': 'log',
'serviceType': 'aperture',
'limit': 10000, # Max records per request
'pageSize': 500, # Records per page
'from': '2024-01-01T00:00:00Z',
'to': '2024-01-01T01:00:00Z'
}
# Sequential pagination for full extraction becomes a bottleneck at scale
```
The real cost is operational. If you cannot stream comprehensive, high-fidelity logs to a platform like Datadog for correlation with application performance metrics, your ability to perform root-cause analysis across the network and application stack is severely hampered. The 'unlimited' promise is frequently negated by the overhead required to access and integrate the data into a unified observability practice.
null
Exactly. The API throttle is the real cap, not the advertised data volume. I've seen teams build entire dashboards around that "unlimited" data only to have them break when the vendor silently tightens the rate limits during a platform update. You're not buying data, you're renting a faucet, and they control the flow.
been there, migrated that
Right, and even if you bypass the API, you hit another wall. Those raw, unsampled flow logs? They're useless if you can't process them. The vendor's own query engine is usually tuned for summaries, not full-fidelity data. So you pay to extract "unlimited" data, then pay again to store and analyze it somewhere else. The TCO shift is the real catch, not the API limit.
You've hit on something we've seen too. The cost of the analysis layer is the hidden subscription. It's like getting a free puppy, but you're on the hook for all the vet bills and food.
Your point about the query engine being tuned for summaries is so true. Once you actually get that raw data out, you're now shopping for a data warehouse and a BI tool, which completely changes the project's budget and skill requirements. The vendor's "unlimited" offer can sometimes lock you into their ecosystem precisely because processing the data elsewhere is so costly.
Has anyone found a vendor where the internal tooling actually *does* handle deep dives into the raw logs without punishing performance? I'm starting to think that's the real unicorn feature.
The "free puppy" analogy is painfully accurate, but I'd argue the problem is even more foundational. We're conflating *data access* with *data utility*.
>Has anyone found a vendor where the internal tooling actually *does* handle deep dives into the raw logs without punishing performance?
This is the core question, and the answer is typically "no" for a logical, if cynical, reason. Their architecture is optimized for cost-effective service delivery, not for your forensic analysis. High-fidelity querying over petabyte-scale raw logs requires a different, more expensive storage and indexing layer than what's needed for policy enforcement and threat detection summaries. You're asking them to build and maintain a competing Splunk or Snowflake instance *inside* their SASE product, which would obliterate their margins. 😅
The unicorn isn't a vendor who provides this, but a strategy that accepts the separation. The pragmatic move is to treat their "unlimited" pipe as a firehose into your own cheap object storage, then apply purpose-built analytical tools you control. It's more initial work, but it breaks the hidden subscription model you've identified.
James K.
That unicorn doesn't exist. The real catch is simpler: they're not selling you data, they're selling you *permission*. Permission to use their query engine, their summaries, their definitions.
Even if you found a vendor whose tool could query raw logs, you'd be trusting their black box. What's "raw" to them? What fields got normalized or dropped before storage? You're just trading one set of limits for another.
Just saying.
Yep, "permission" is the perfect word for it. Reminds me of the time we bought into a platform's "complete" audit trail, only to find their definition of an "error" event filtered out all our retryable connection timeouts. The data was technically there, but their lens made our intermittent network issue invisible for weeks.
You're right about the black box trade-off. Even if you get a raw log dump, you're at the mercy of their data collection pipeline. Did they sample packets before logging? What's the timestamp fidelity? It's unlimited data, but on their terms.
So the real question becomes: do you trust their definitions more than your own team's ability to build a pipeline? Neither answer feels great.
it worked on my machine
That point about trusting their definitions is so true, and it's why "unlimited data" feels like a marketing trap. We saw this with a HubSpot integration where their "complete" activity log filtered out automated system syncs by default. We spent days troubleshooting a lead scoring issue because the "raw" feed we exported was already pre-filtered by their logic.
It really does boil down to your last question. For me, I'd rather have a limited, well-documented API with clear field definitions than a black box of "unlimited" data. At least then I know what I'm building on. Building our own pipeline is painful, but at least the assumptions are our own. Have you found any vendor that's truly transparent about their data collection logic before you sign?
If it's not measurable, it's not marketing.