Why Enterprises Choose Axoflow Platform vs. Cribl
“We’ve delivered countless log management deployments across APAC built on syslog-ng, so when we first saw Axoflow, it immediately felt familiar—but sharper. Having worked closely with Balázs Scheidler for over a decade, we knew anything he put his name behind would be worth serious consideration. What stood out this time was just how much complexity Axoflow removes. It distills decades of operational experience into a solution purpose-built for today’s security teams.”
“There’s no shortage of teams chasing to solve the security data problem. What stood out about Axoflow was their discipline. Instead of overpromising, they built something that actually works — fast to value, lean in architecture, and built to massive scale. That kind of clarity is rare in startups.”
“Most security platforms claim to be built for the AI era. Very few actually are. What impressed me about Axoflow was how seamlessly it automates the messy, thankless work of preparing data—turning noisy, fragmented streams into something AI can actually reason over. Running an MSSP, I see this data preparation challenge across dozens of client environments daily. I know how much time, budget, and talent that usually takes. Axoflow gets it done in minutes, not months.”
“Security teams are drowning in data and starving for insight. As we move toward more automated, AI-driven workflows, the ability to reliably collect, normalize, and act on security data in real time isn’t just a nice-to-have—it’s foundational. Any progress in this space that reduces noise and improves signal fidelity is a big win for modern security operations.”
“Axoflow’s strengths lie in its automation depth and operational flexibility… its classification-driven engine is a differentiator which handles reduction, normalization, and routing without regex or manual tuning… integration health is another strong point, with detailed metrics on drops, delays, queues, and host resources.”
How Axoflow Brings Real Cost Savings
Less Infrastructure Cost
12.5x better performance means drastically fewer servers and less overhead.
Linear Pricing Structure
Unlike Cribl’s complex, consumption-based credit confusion, Axoflow has transparent tiers meaning you keep more of your data reduction savings.
What Reddit Is saying about Cribl pricing
“Cribl would cost us about 10‑20 k more than our SIEM… we might not get the ROI we’re hoping for.”
“I did a model pricing estimate… the price per GB with Cribl came out way higher.”
Cribl AI = pipeline maintenance outsourced to you?
Cribl’s Copilot promises “human-in-the-loop” oversight—but that just means you’re still doing the work. Whether logic is hand-written or AI-suggested, you still review, test, and maintain it. Axoflow owns the transformation process end-to-end: classification, normalization, and management, automatically.
Your team doesn’t maintain pipelines. Your team runs security.
Axoflow vs. Cribl
See full comparison of how Axoflow Platform, an automated alternative to Cribl Stream, stands out in key areas:
better performance
better performance
Axoflow has been recognized
Ready to see Axoflow in action?
FAQs
Is Axoflow a new player on the market?
While Axoflow has been on the market since 2023, it’s built by the original creators of syslog-ng whose expertise goes back to 1998.
What’s the relationship between syslog-ng and Axoflow?
Axoflow is built on syslog-ng, a battle-tested, open-source technology that is still the backbone of enterprise logging.
Does Axoflow offer storage solutions?
Yes, while Cribl only offers cold storage in the cloud, Axoflow has AxoLake, a tiered data lake that is available in the cloud and also on-prem. In addition, we offer an edge storage called AxoStore.AxoLake is built on open formats like Apache Parquet and OCSF.
Does Axoflow also support Splunk?
Yes, further to Splunk, Axoflow also supports Azure Sentinel, Google SecOps, Cortex XSIAM and a range of other SIEMs and observability platforms.
Does Axoflow also support custom data transformation logic or scripts?
Yes, you can bring your custom data enrichments or transformation to Axoflow if you want to. Most probably you don’t need to, if you are using off-the-shelf security products like Palo Alto, Okta, Crowdstrike or the 150+ currently supported data sources, as reduction, parsing, and the most commonly used transformations work automatically, out-of-the-box.
How does Axoflow use AI?
Yes, Axoflow uses AI to keep our classification and normalization engine sharp – so your team never has to touch regex for supported products. Read more here.