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DataLink

Lightweight data processing — integration and storage for organisations without a mature data estate, or teams building custom capabilities on a clean foundation.

Position

DataLink gives clients a coherent path from fragmented sources into storage that analytics can use — without waiting for a full platform programme to finish.

Built for businesses that lack advanced infrastructure, and for teams that want custom processing without inheriting someone else’s monolith. Connect first. Everything downstream depends on it.

01SourcesApps · APIs · files02ConnectMicroservices · APIs03MoveETL · ELT04StoreScalable lake

System shape

Sources in. Lake out. Services in between.

Microservices handle connection and movement. The lake holds what analytics and Poiesis will need next — scalable, and shaped by ETL/ELT rather than left raw forever.

Capabilities

What DataLink provides

Five surfaces that turn fragmented systems into a usable data foundation.

  • 01

    Microservices architecture

    Composable services for connection, movement and storage — add capacity where the load is, without a platform rewrite.

  • 02

    API handling and connection

    Operational systems brought into a coherent feed through controlled API paths — not ad-hoc extracts that rot overnight.

  • 03

    Diverse data sources

    Applications, files, databases and streams on equal footing — the estate is integrated as it actually exists.

  • 04

    Scalable data lake

    Storage that absorbs volume and variety without becoming an ungoverned dump — a foundation analytics can trust.

  • 05

    ETL and ELT

    Advanced extract, load and transform paths so data arrives shaped for analysis — batch or continuous, as the decision requires.

In the system

The entry point. Everything else depends on it.

DataLink is the entry point of the ecosystem — everything downstream depends on coherent, connected data.

Next step

Show us the sources that never quite connect

Bring the systems, files and APIs that stay fragmented today. We will map what DataLink would unify — and what analytics becomes possible once they share a foundation.