modules
Sustained Vectorized Storage
Petabyte-scale analytical retention. Columnar compression and vectorized query execution deliver sub-millisecond retrieval on massive historical telemetry.
Petabyte-scale analytical retention. Columnar compression and vectorized query execution deliver sub-millisecond retrieval on massive historical telemetry.
optimized-data-compression
Optimized Data Compression Storing telemetry by column shatters traditional database bottlenecks, reducing physical footprints while accelerating complex analytical aggregations. Telemetry-specific algorithms compress timestamps, metrics, and strings individually, achieving extreme compression ratios without taxing your CPU.
data Viz
Storage Specifications
- Persistent Engine
- Vectorized Columnar Storage
- Compression Performance
- Extreme Multi-Codec Reduction
- Cold Query Latency
- Sub-Millisecond Multi-Petabyte Execution
- Ingestion Capacity
- Uncapped Petabyte-Scale Scalability
- Dynamic Tiering
- Automated Media Cascade
- Analytical Rollups
- Real-Time Multi-Level Rollup Cascade
- Lifecycle Enforcement
- Automatic Retention Policies
content section
value: Our persistent storage engine organizes telemetry data into highly optimized columnar segments, enabling vectorized execution that computes aggregates across billions of rows in milliseconds. Data automatically cascades through tier-structured media based on age and query access frequency, ensuring you retain high-resolution history without expanding your storage budget.
features
compression: ZSTD + Delta + Gorilla
projections: true
storage engine: MergeTree family
materialized views: true
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Relationships
products
industries
sub modules
use cases
- Algorithmic Drift Prevention
- Petabyte-Scale Log Intelligence
- Systemic Infrastructure Dominance
business sizes
- Enterprise
- Government
- Mid-Market