Eval directory
Evals for ClickHouse
3 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for ClickHouse AI products.
About ClickHouse
ClickHouse is an open-source columnar database management system built for real-time analytics. It processes billions of rows per second with sub-second query latency, making it the database of choice for observability, product analytics, and time-series workloads.
Available eval packs for ClickHouse
3 packs ready to run.
Async Insert Durability And Ingestion Semantics
23 graded scenarios covering edge cases, failure modes, and quality checks.
Materialized Views Projections And Ttl Derived Data Consistency
7 graded scenarios covering edge cases, failure modes, and quality checks.
Mergetree Engine Correctness Replacingmergetree Aggregatingmergetree Final
Correctness25 graded scenarios covering edge cases, failure modes, and quality checks.
Why eval ClickHouse AI
ClickHouse's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.
The Corsac eval library for ClickHouse measures four dimensions teams care about most when deploying data analysis agents:
- Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
- Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
- Safety gates — does it escalate or refuse when it should, and only then?
- Operator quality — does it preserve analyst trust by surfacing the right context at the right time?
Every eval pack above is hand-authored against ClickHouse's public product surface and runnable in Corsac with your own data.