# Real-time Data Connectors

> Stream live data from historians, event streams, sensors and business applications into Databricks, Microsoft Fabric or your own lakehouse.

Source: https://sidekickmachines.com/capabilities/real-time-data-connectors/

Real-time Data Connectors

## Your operations change every second. Can your AI keep up?

Stream live data from historians, event streams, sensors and business applications into Databricks, Microsoft Fabric or your own lakehouse.

[Discuss this offering: Real-time Data Connectors](https://sidekickmachines.com/contact/?offering=Real-time%20Data%20Connectors) [Licensable product: Sidekick Connectors](https://sidekickmachines.com/products/connectors/)

How it fits together

1. Real-time sources
2. High-speed connector
3. Analytics + AI

### What changes.

We build high-speed connectors for a wide variety of live systems and deliver every row to Databricks, Microsoft Fabric or your own lakehouse. When a source has no working connector, we build one.

### Yours to put to work.

- Scope and acceptance criteria agreed together.

#### Working connectors

High-speed data flow from agreed sources, such as historians, event streams or business applications, into Databricks, Microsoft Fabric or your own lakehouse.

#### Recovery built in

Picks up where it left off after an interruption, backfills history, and checks for duplicates and gaps.

#### An operating handoff

Speed and delay monitoring, alerts, agreed data definitions and runbooks.

### See an example engagement

An example scope, adapted to your environment.

1. The starting point: Engineers want live compressor data from their plant historian, AVEVA PI, next to maintenance records in Databricks.
2. The work: Connect agreed compressor readings, stream them into Databricks with backfill, and check values against source.
3. The handoff: A monitored connector, agreed data definitions and recovery steps.

#### How we evaluate the result

- Data arrives as quickly as agreed, at full volume, under realistic load.
- Interruptions, restarts and backfills recover with no gaps or duplicate records.
- Values, units and timestamps match source records at their destination.

Related capabilities

### When you need more.

[All capabilities](https://sidekickmachines.com/capabilities/)

#### [AI Data Engineering](https://sidekickmachines.com/capabilities/ai-data-engineering/)

Build the data paths your AI needs, from enterprise systems to large-scale pipelines.

#### [Data Quality & AI Readiness](https://sidekickmachines.com/capabilities/data-quality-ai-readiness/)

Repair the data and business context that your AI workflow depends on.

#### [Enterprise MCP Tooling](https://sidekickmachines.com/capabilities/enterprise-mcp-tooling/)

Give agents usable, authorized tools for your internal systems.

A useful place to start

### Let’s work through your specific problem.

Start with Real-time Data Connectors, scoped to your environment.

[Discuss this offering](https://sidekickmachines.com/contact/?offering=Real-time%20Data%20Connectors)

Microsoft and Microsoft Fabric are trademarks of the Microsoft group of companies. AVEVA and PI are trademarks of AVEVA. Databricks is a trademark of Databricks, Inc.