Lifecycle-Aware
Data Storage
A storage engine that manages data across local and object storage, organizing it through active, hot, warm, cold, and archive phases— while preserving seamless search access across every phase.
Designed for the Full Data Lifecycle
ShyftStore manages how data is stored, retained, and transitioned— from high-performance local access to cost-efficient archival— without breaking search continuity.
Hybrid Storage Engine
Manage high-performance local storage and scalable object storage as a single logical system optimized for operational access and long-term retention.
Lifecycle Management
Data flows through active, hot, warm, cold, and archive phases. Each phase defines where data lives, how it is optimized, and how long it is retained.
Search-Ready Storage
Data remains continuously searchable across all lifecycle phases. No restore jobs, no rehydration, and no operational delays.
Intelligent Archival
Archive data automatically to S3-compatible object storage while preserving metadata required for efficient historical queries.
Retention Control
Configure retention independently for each lifecycle phase to balance performance, cost, and compliance without duplicating data.
Open & Extensible
Built on open, analytics-friendly formats that integrate naturally with downstream search and processing engines.
Unified Storage Visibility
Track data volume, lifecycle phases, retention, and search coverage across both local and archived storage from a single interface.
How ShyftStore Works
A lifecycle-driven architecture spanning local and object storage while presenting a unified search surface.
Active & Hot
Newly ingested and frequently accessed data is stored locally for low-latency dashboards, detection, and investigations.
Warm
Data transitions to cost-efficient local storage while remaining fully searchable for operational and security workflows.
Cold
Older data is compacted and optimized for infrequent access, preserving search capability with reduced compute intensity.
Archive
Data is archived to object storage automatically and remains searchable alongside local data without restore workflows.
Retention is defined independently for each lifecycle phase, allowing precise control over cost, performance, and compliance while maintaining a single search experience.
Works with Shyft Search
ShyftStore manages storage and lifecycle, while Shyft Search executes queries across all phases transparently.
🔎 Unified Search
Queries span local and archived data automatically, with no user awareness of lifecycle boundaries.
📊 Operational Analytics
Keep recent data fast and historical data accessible for investigations, audits, and trend analysis.
🛡️ Compliance & Retention
Enforce long-term retention policies without sacrificing visibility or operational simplicity.
⚙️ Independent Scaling
Scale storage and search independently as data volumes and query demands evolve.
Control Data Growth Without Losing Access
Manage the full lifecycle of your data while preserving seamless search from day one to long-term archive.