Component reference
Dremio — semantic layer + Reflections
Engine-anchored architecture for organizations with mixed BI and security analytics on shared Iceberg data. Reflections pre-materialize the hot paths; the semantic layer keeps the SQL surface clean for analyst and engineer alike.
Iceberg-native semantic-layer engine for organizations with mixed BI and security analytics on shared data. Reflections pre-materialize the hot query paths transparently, and the semantic layer keeps the SQL surface clean for analyst and engineer alike — engineers tune the accelerations, analysts just benefit.
The pipeline
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Sources
Security telemetry
Network, endpoint, cloud, identity
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Route
Vector / Cribl / Kafka
OCSF normalization on ingress
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Store
Iceberg on S3
Polaris / Nessie catalog
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Engine
Dremio + Reflections
Semantic layer; materialized accelerations
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Serve
BI + SOC UIs
Grafana · Superset · notebooks
What composes, what’s brittle
- Iceberg-native. Queries hit the lake without copy-out.
- Reflections. Accelerate hot queries transparently; engineers tune, analysts benefit.
- Semantic layer. Reduces SQL complexity for SOC analysts.
- Best fit. Mixed BI + security analytics on shared data; reusable accelerations.
- Trade-off. The acceleration story is the Reflections layer: without it, the engine leans on raw scan speed, so Dremio earns its place for the semantic layer and reusable materializations rather than for cold-scan latency.
- What survives. Standard SQL detections portable to Trino, StarRocks, ClickHouse-Iceberg.
Sources: Methodology: published spec, reproducible on equivalent hardware · Dremio engineering documentation