Proof
Don't take the architecture on faith.
Analytics infrastructure has two questions: Can it handle the work? Can you trust what it returns? We publish the architecture, measurements and security boundaries so you can inspect the answers yourself.
Performance
Built for analytical workloads.
Event Horizon uses columnar storage for event analytics and continuous ingestion rather than relying on overnight batch processing.
On a modest single-host setup, our published measurements include:
These are measured results, not production-scale guarantees. The published measurements state their hardware and scope explicitly.
Query costs
A query should not surprise you with a bill.
SQL is available when you need it.
But before a query runs, Event Horizon estimates its cost.
If it would exceed the plan's allowed budget, it is refused before execution.
Result
A single heavy query doesn't get to become an unexpected infrastructure problem.
Multi-tenancy
Your customer's data must stay their data.
Event Horizon is designed around tenant-scoped analytics.
Every warehouse read passes through an enforced tenant boundary. Missing tenant context fails closed rather than returning unrestricted data.
The database provides a second policy layer, and the system is tested against attempts to cross that boundary.
Result
Multi-tenancy is part of the query path, not a checkbox on the dashboard.
See the product
This is the actual product.
Evidence over adjectives
We publish what we measure, including the limits.
Our benchmarks are deliberately scoped.
Our security page documents what is implemented and what isn't.
Our engineering blog explains decisions, failures and changes.
Because trust in analytics infrastructure shouldn't depend on marketing language.