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No-code query layer — kill SQL, forever

DataBridge

Query your databases without writing a single line of SQL. DataBridge exposes one standardized REST API with a multi-plugin architecture — InfluxDB today, PostgreSQL and TimescaleDB coming soon — plus a native Grafana plugin. Schema read directly from DataCatalog.

Key Features

What DataBridge Does

// NO-CODE QUERY LAYER

Kill SQL. Forever. Query your databases without writing a single line of code.

NO-CODE Dashboards FlowMaker · AI · Apps GRAFANA PLUGIN Grafana DataBridge native DATABRIDGE One REST API Multi-plugin · no SQL schema from DataCatalog HTTP · JSON TIME-SERIES · LIVE InfluxDB 2.x ACTIVE TIME-SERIES TimescaleDB COMING SOON RELATIONAL PostgreSQL COMING SOON

Multi-plugin architecture · one grammar · swap backends without rewriting

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.

01

Register a database

Point DataCatalog at your TimescaleDB, InfluxDB, MS SQL or PostgreSQL instance. DataBridge auto-discovers the schema.

02

Query over REST

POST a query in the DataBridge grammar — raw, aggregated, interval-bucketed or joined. One call, any backend.

03

Stream or page

Chunked streaming for large exports, paginated JSON for dashboards, server-sent events for live tails.

04

Swap backends without rewriting

Migrate from one store to another without touching dashboards, AI pipelines or FlowMaker nodes. DataBridge absorbs the difference.

Integrations

Works seamlessly with

See DataBridge in action