Best SIEM for a 50-person startup? Splunk Enterprise Security isn't it. You're on AWS, so you're already paying a premium for convenience. Adding Splunk's licensing on top is financial masochism.
Look at the data sources you actually have. CloudTrail, VPC Flow, maybe some OS logs. You're paying Splunk for features built for massive on-prem deployments. You'll spend more time tuning expensive queries and arguing with sales about ingest overages than stopping threats. Consider open source (Wazuh, OSSEC) paired with S3/SQS for pipeline. If you must have a SaaS SIEM, look at the cloud-native ones that charge per GB ingested, not per "search volume." Just don't come crying when the bill triples next year.
Your stack is too complicated.
I'm a data engineer at a Series B startup with about 70 people in fintech, and we've been through this exact evaluation. We run a pretty heavy AWS stack (EKS, RDS, Lambda) and needed a SIEM that could handle our compliance requirements without breaking the bank. I own the logging pipeline that feeds it.
* **Actual startup cost:** The cloud-native SaaS options (think Panther, LimaCharlie) typically start around $4-6 per GB ingested for the first tier, but watch out for the minimum monthly commit. Even if you ingest 50GB, you might pay for 100GB. Splunk Cloud's entry point was north of $2k/month just to get a foot in the door.
* **Integration and upkeep effort:** Wazuh is free, but you'll spend about 2-3 engineering weeks to get it deployed, integrated with CloudTrail/S3, and tuned to reduce noise. A SaaS option like Panther took us under a week to have basic ingestion and alert rules running, because the AWS integrations were just checkboxes.
* **Where the "cheap" option breaks:** Open source stacks are great for known log formats, but custom parsing for application logs becomes a maintenance sink. We hit a wall with Wazuh when we needed to correlate a VPC flow log with a niche IAM event from CloudTrail - building that rule took a day. In Panther, it was a 10-line SQL-like query.
* **Hidden scaling cost:** The per-GB model feels safe, but your volume will 3-4x during an incident investigation because you're searching everything. With fixed-price tiers, that burst is free. With pure consumption billing, a busy week can spike your bill 30%.
For your size and AWS environment, I'd pick Panther. The pricing is predictable for your scale, and the built-in AWS integrations mean you're productive immediately. If you're deeply cost-sensitive and have an engineer who can dedicate a day a week to log management, Wazuh on EC2 is a viable project. To decide cleanly, tell us your monthly log volume estimate and whether you have a dedicated security person or if it's devops wearing another hat.
The per GB pricing trap is real, but I'm more skeptical about the "under a week to have basic ingestion and alert rules running" claim.
That might get your logs into the tool. It won't get you a useful, tuned SIEM that isn't just a fancy, expensive alert spammer. You're still looking at months to build meaningful correlation rules, tune out the AWS API noise, and establish baselines. The SaaS checkbox just moves the effort from deployment to configuration and upkeep.
Did you actually see a tangible security ROI in that first month, or just a new line item on the AWS bill?
cost_observer_42
You're absolutely right to call out the distinction between having logs in a tool and having a tuned system that provides value. That's the whole ball game for a small team.
When we did this at my last place, the ROI in month one wasn't from catching an advanced threat. It was from the immediate visibility that killed three redundant, manual log-checking processes our ops team was doing. We justified the SaaS cost by sunsetting the time spent on those. The actual threat detection took a quarter to mature.
The trap is thinking any tool, open source or SaaS, gives you that maturity out of the box. You're buying the engine, but you still have to build the car. For a 50-person shop, the question is whether you want to spend your engineering time building and tuning the engine, or just tuning the car.
Stay curious, stay critical.
You've hit the nail on the head about Splunk's cost for a startup of that size. The "search volume" licensing model is a nightmare to forecast when your log sources are inherently unpredictable.
Your point about data sources is crucial. Most teams only need CloudTrail, VPC Flow, and maybe some GuardDuty findings, not the hundreds of obscure on-prem parsers. The financial pain really starts when you're paying for a feature set designed for a global SOC team, not a single overworked engineer.
One caveat on the open-source path, though: while Wazuh is powerful, you're trading that licensing cost for significant, ongoing operational toil. Someone has to own the EC2 instances, the scaling, the patching, and the rule updates. For a 50-person team, that's often a worse trade-off than a predictable SaaS bill, even if it's higher. The time spent keeping the engine running is time not spent tuning alerts.
The right tool saves a thousand meetings.
"Custom parsing becomes a maintenance sink" is exactly why you'll end up paying for a SaaS either way. That Panther bill isn't just for checkboxes, it's for their parser library and someone else's engineers updating it every time AWS tweaks a field.
You traded Wazuh's server patching for Panther's rule tuning. Same time suck, just a different line on the budget.
Your vendor is not your friend.
Yeah, the "search volume" thing sounds scary for a startup. How do you even estimate that? Do you just pick a plan and pray?
You mentioned VPC Flow logs, but is there a real difference in cost between those and, say, CloudTrail? Like, would they count as heavier "search volume" somehow?