Database-agnostic REST API
DataBridge
The query abstraction layer. DataBridge exposes one standardized REST API and translates your queries to TimescaleDB, InfluxDB, MS SQL or PostgreSQL underneath — schema read directly from DataCatalog.
Key Features
What DataBridge Does
One REST API
A single endpoint for every backend — no more database-specific clients, no more rewriting queries when you change storage engines.
Time-series & relational
Native support for TimescaleDB, InfluxDB 2.x, Microsoft SQL Server and PostgreSQL. Raw, aggregated and interval-bucketed queries all share one grammar.
Schema from DataCatalog
DataBridge reads tags, assets and source metadata directly from DataCatalog. Queries stay semantic — you ask for an asset, not a table name.
Entity Framework for OT
Think Entity Framework or an ORM — but for industrial time-series. Dashboards, AI and FlowMaker all read data through the same layer.
How It Works
Getting Started with DataBridge
Four steps from zero to production.
Register a database
Point DataCatalog at your TimescaleDB, InfluxDB, MS SQL or PostgreSQL instance. DataBridge auto-discovers the schema.
Query over REST
POST a query in the DataBridge grammar — raw, aggregated, interval-bucketed or joined. One call, any backend.
Stream or page
Chunked streaming for large exports, paginated JSON for dashboards, server-sent events for live tails.
Swap backends without rewriting
Migrate from one store to another without touching dashboards, AI pipelines or FlowMaker nodes. DataBridge absorbs the difference.
Integrations