Clean, structured security data, delivered direct to Databricks.
Realm delivers parsed, normalized, and enriched security data straight into Databricks Delta Lake through Zerobus Ingest. It lands analytics-ready and governed by Unity Catalog, so your team spends its time on analysis, not data prep.
Realm is the managed pipeline doing the work. There is nothing for your team to build or babysit.
Getting security data into a lakehouse is the hard part.
More security teams are moving telemetry into Databricks. It is where they hunt across years of history, run ML on their data, and retain everything for a fraction of what a SIEM charges.
The value is clear. The path in is not. It usually means brittle forwarders, custom parsing jobs, and schema wrangling that breaks every time a vendor changes a log format. Most of that data arrives raw and unstructured, so someone has to build and maintain the jobs that clean it once it lands, on top of moving it in the first place.
The result is a setup that is complex to stand up, slow to change, and fragile to maintain.
Realm does the hard part before the data ever hits your lakehouse.
Realm sits upstream of Databricks. It collects, parses, normalizes, and enriches every event, then pushes it straight into your Bronze table through Zerobus Ingest.
Any source
Cloud, on-prem, or third-party SaaS, using fully managed vendor integrations and the Realm generic collector.
Parse & normalize
Realm parses each log into clean structured JSON and normalizes OCSF observables across every product.
In real time
Enriched with GeoIP, threat intel, and your own context from CMDB or HRIS, as the event flows through.
Into Databricks
The structured event is pushed straight into your Delta Bronze table via Zerobus Ingest. Silver and Gold get simpler from there.
Fewer parts. Lower latency. Less to maintain.
Most tools that write to Databricks stage data to a storage bucket first, then load it in batches. Realm skips it.
An extra storage tier to manage, added latency, and more moving parts to break.
A push-based API writes straight into Unity Catalog Delta tables. No broker, no bucket. Every record inherits Databricks governance, lineage, and access controls the moment it lands.
Your engineers work on detection, not data prep.
No more plumbing
Realm's managed integrations and collector replace the fragile forwarders and custom parsing jobs teams assemble to feed Databricks. You configure the output feed in the Realm UI and data starts flowing. That is the whole setup.
Less engineering effort
Realm forwards parsed, structured, enriched data instead of raw logs. The transformation happens once, in Realm, before the data lands, so your team skips building and maintaining cleanup jobs downstream.
Actionable on arrival
OCSF-normalized observables and point-in-time enrichment mean data is ready to query, correlate, and model the moment it hits the lakehouse. You capture values as they were at the event, not what they resolve to days later.
Replacing a complex, self-built pipeline.
A global enterprise is adopting the Realm + Databricks integration to retire exactly the kind of fragile, self-built plumbing they used to get security logs into Databricks. Cleaner data in the lakehouse also opens up new use cases they could not easily support before.
Direct-to-lakehouse ingestion is the foundation.
High-throughput ingestion is just the start. This is the base layer for modernizing SIEM strategy on Databricks.
Feeding Lakewatch
The Zerobus Ingest integration directly accelerates data collection into Lakewatch, cutting the complexity and time required to feed high-fidelity security telemetry into detection and response workflows.
Leaving legacy SIEM behind
Pairing automated upstream normalization with serverless ingestion lets teams migrate away from costly, legacy SIEM architectures toward a lean, unified data intelligence platform on Databricks, without compromising on speed or coverage.
Pick one source.
We'll prove it on your data in days.
The 7-Day Data Assessment. You pick a source, usually firewall logs. We do everything else, and deliver your reduction, detection integrity, and ROI on your own data in a week.
Start a 7-Day Data Assessment