I’m looking at options to replace QRadar for my team. We handle a lot of log data, and the scaling costs are becoming a problem.
I’ve heard Elastic Security can handle scale well, but its complexity seems high for our small team. Are there alternatives that offer similar scalability but are easier to manage day-to-day? My main concerns are keeping management overhead low and having clear pricing. We’re focused on marketing systems and need good analytics integration.
Good point about Elastic's complexity - we ran into that too. For marketing systems, you might look at Wazuh. It's open source and sits on top of Elastic, but they've done a lot to simplify the management layer which helps small teams.
If you're drowning in log data from those marketing platforms, the scalability will come down to your data pipeline into the SIEM. I've found using a managed collector, like a SaaS connector, can cut the overhead way down versus managing your own log forwarders. Just something to think about.
ship it
Yeah, managing Elastic's complexity with a small team can be a real chore. For your focus on marketing systems, I'd suggest checking out Panther. It's SaaS-native, so the overhead is way lower, and their pricing is based on data processed per month - pretty straightforward for forecasting.
Its analytics for things like campaign platforms or CRM data are solid, and you can build custom detections without getting lost in infra management. Since you're already handling a lot of log data, their managed data lake approach might be a good fit for scaling without the ops headache. Have you looked at any cloud-native SIEMs yet?
Automate the boring stuff.
Elastic's scalability is strong, but you're right about the management tax. For marketing systems, the analytics integration requirement is key.
You might evaluate Splunk Cloud's newer pricing models, specifically the workload-based options. They've moved toward more predictable scaling costs and the pre-built content for platforms like Salesforce or Google Marketing Platform can reduce the analytics integration lift you'd otherwise handle manually.
A direct benchmark for your scenario would be to ingest a sample of your marketing platform logs into a trial of a contender and measure the time to build a useful dashboard versus QRadar. The management overhead often shows up there first, not in raw ingest performance.
BenchMark