Query in Place vsTransform and Move
HighByte focuses on transforming and moving data. Conduit queries it where it lives. Different philosophies for different needs.
Feature Comparison
Understanding the fundamental differences in approach
| Aspect | HighByte | Conduit |
|---|---|---|
| Primary Function | Data transformation and normalization - ETL for industrial data | Federated query + contextualization - query where data lives |
| Data Movement | Moves and transforms data between systems | Queries data in place, no movement required |
| UNS Approach | Static, manually configured namespace | Dynamic UNS built from actual usage patterns |
| Query Interface | API-based, requires development | Natural language + API for flexibility |
| Edge Capability | Limited edge deployment options | Full edge deployment with local processing |
| Schema Management | Schema-on-write - define before loading | Schema-on-read - structure at query time |
| Data Ownership | Creates data copies in hub | Data remains at source, ownership unchanged |
| Integration Pattern | Hub-and-spoke transformation | Mesh federation across all sources |
The Conduit Advantage
When querying without moving data is the right choice
Query, Don't Move
Instead of moving data to a central hub, Conduit queries it where it lives. Less latency, less complexity, less cost.
Dynamic Namespace
Your UNS evolves with actual usage. No more maintaining static configurations that drift from reality.
True Edge Computing
Full Conduit functionality at the edge, not just a gateway. Process and query locally, even air-gapped.
When to Use Each
HighByte is Best For
- -Heavy data transformation requirements
- -Normalizing data from many sources to a standard format
- -Building a traditional ETL pipeline
- -When you need data physically moved to a destination
Conduit is Best For
- +Unified queries across sources without data movement
- +Natural language access for operations teams
- +Dynamic UNS that reflects actual usage
- +Full edge computing with air-gapped support
Can They Work Together?
Yes. If you use HighByte to transform and land data somewhere, Conduit can query that destination alongside your other sources. Each tool does what it does best.
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