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Infuse DB
Scalable IoT time-series data layer for live and historical device data.
Infuse DB is the scalable IoT time-series data layer for Infuse. It stores high-volume device telemetry, keeps raw and computed device streams aligned with Infuse IoT, and gives teams fast access to live and historical fleet data.
Use Infuse DB when your product needs to store, query, and retain timestamped telemetry without designing a custom database or data pipeline for every deployment.
Infuse DB is designed for teams that need to:
- deploy telemetry storage quickly,
- scale to millions of timestamped records,
- query devices by customer, environment, location, or asset group,
- store both raw and computed device streams,
- choose cloud-managed, private, or on-prem hosting for data control.
How Infuse DB Fits Together
| Concept | What it represents |
|---|---|
| Dataset | A logical grouping for related device or product data. |
| Telemetry stream | A sequence of timestamped records from devices, gateways, jobs, or integrations. |
| Raw stream | Source telemetry as received or normalized by the ingestion path. |
| Computed stream | Derived values created from raw telemetry, such as summaries, signals, or enriched records. |
| Timestamped record | A data point with an event time and associated device or operational fields. |
| Device dimensions | Fields such as device, customer, environment, location, board, or asset group used to filter and segment data. |
| Ingestion | The workflow that writes records into Infuse DB. |
| Querying | The workflow that retrieves live or historical fleet data. |
| Retention | The policy for how long data remains available for operational and historical access. |
| Hosting model | The deployment option for data control: cloud-managed, private, or on-prem. |
Where Infuse DB Fits In The Platform
- Infuse IoT manages device identity, provisioning, communication state, definitions, commands, and telemetry context.
- Infuse DB stores raw and computed device streams for live and historical access.
- Infuse Analytics can use live and historical device data to create decision-ready insight streams.
For a cross-product ingestion flow, see Stream IoT Data to Infuse DB.