Company: Hydrolix
Co-Founders: Marty Kagan and Hasan Alayli
Website: https://hydrolix.io
About Hydrolix
The world’s most critical digital applications—from global streaming platforms to high-volume SaaS, fintech, marketplaces, and AI-driven services—require a level of complexity and scale that outpaces traditional approaches to analytics. These applications run across hundreds of thousands of servers and microservices, generating data at internet scale and demanding real-time intelligence to ensure customer satisfaction. And it’s not slowing down—the AI revolution is driving new critical services and agentic workloads that will only make this an exponential problem. But there’s been an impossible gap.
First: Global Scale. Modern applications don’t run in a single data centre—they can span hundreds of thousands of servers across continents, generating data from every user, every edge node, CDN, and distributed service powering the application. Collecting and making sense of data from globally distributed infrastructure in real-time has been impossible. The scale overwhelms traditional platforms.
Second: Real-Time Performance. Even the world’s most scalable platforms can’t maintain speed at scale. As data volumes grow, query performance degrades—taking 7, 10, or even 30 minutes to surface critical insights. When you’re trying to deliver real-time customer experiences but your insights are arriving 30 minutes behind, you’re not competing—you’re guessing. You’re flying blind at the exact moments that matter most.
Founded in 2018, Hydrolix is a real-time data platform designed to solve these problems from day one. We deliver operational intelligence at internet scale—getting you insights in seconds across petabytes of globally distributed data. Where applications serve billions of users across continents. Where every CDN edge node and streaming platform generates a relentless fire hose of data. Where a Singapore network issue must be detected and resolved before Los Angeles users become aware of it. That’s where Hydrolix operates.
We deliver the real-time visibility that has been out of reach, with unique capabilities competitors don’t offer: one-of-a-kind, built-in CDN observability that brings edge-to-enterprise intelligence. Not just faster queries, but complete operational intelligence across your entire distributed infrastructure, with human-speed decisions on machine-scale data.
Most recently, Hydrolix has expanded into the security operations space with the Hydrolix Security Data Layer. Security investigations increasingly fail not because analysts lack skill or tooling, but because the evidence they need is gone by the time they go looking for it. Faced with rising data volumes and SIEM costs that scale with ingest, security teams routinely shorten retention windows, sample telemetry, or archive data into cold storage, decisions that reduce costs today but eliminate tomorrow’s evidence. When a security investigation stretches back weeks or months, as many now do, analysts often discover the data they need no longer exists or takes hours to rehydrate. Without that evidence, investigations become slower, less conclusive, and harder to use to prevent future attacks.
The Hydrolix Security Data Layer is designed to close that gap. It sits underneath the existing security stack, not in place of it, ingesting petabyte volumes of telemetry, compressing it by up to 50x, storing it in the customer’s own cloud, and keeping it immediately queryable at any age. Security teams keep using the SIEM and analyst tools they already know for detection and day-to-day workflows; the difference is that when an investigation reaches back six months or two years, the data is still there and still fast to search, and available when analysts need to establish root cause, determine the full scope of an incident, and confirm it has been contained. That means faster investigations, faster root cause, and faster resolutions.
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