DataHive

Your data.Your intelligence.Your control.

A governed lakehouse designed to bring business
 data and enterprise knowledge together —
 for analytics and AI, on your terms.

Explore the platform

In active development. Explore a focused pilot.

One governed foundation connects your sources to analytics and AIAnimated signals flow from databases, documents, applications and other sources into layered DataHive hexagons. Two branches carry governed data to BI and SQL and to AI and agents. This diagram illustrates the platform architecture. DatabasesDocumentsApplicationsOther sourcesTransactional,operational, andlegacy systemsFiles, content,and unstructureddataSaaS andenterprise appsAPIs, streams,and third-partydata BI & SQLAI & agentsAnalytics, reportingand self-serviceEnterprise AIand intelligentapplications
Sources connect through one governed foundation to analytics and AI.

One foundation. Two ways to put your data to work.

One foundation. Two ways to put your data to work.

The same open data foundation, purpose-built for analytics and for AI.
Unified, governed and connected across your organisation.

Analytics & BI

Trusted data for insight and action.

Give your teams a governed, consistent view of the business with dashboards, reports and self-serve analysis.

DataHive open data foundation A faceted teal iceberg on a transparent data foundation unifies data, governs access, and connects context. OPEN DATA FOUNDATION UNIFIEDDATA GOVERNEDACCESS CONNECTEDCONTEXT

AI & knowledge

Turn your data into real understanding.

Ground AI in your business data, policies and expertise to deliver trusted answers, insights and automation.

DataHive

Data sources

Connect and manage the data your organisation relies on.

Illustrative sources and access scope
SourceTypeAccessUsed byDetails

Illustrative architecture — not a live product screen.

Keep policy connected as data becomes useful.

DATAHIVE

Four engines. One coordinated platform.

Open architecture. Connected by design. Built on Apache Iceberg.

01

HiveCore

Runtime & control

Orchestrates workloads, manages resources and provides a control plane for the platform.

02

HiveFlow

Ingestion & pipelines

Connects to your data, moves and transforms it with reliable, observable pipelines.

03

HiveGuard

Policy & evidence

Enforces access and usage policy across data and workloads, with evidence by design.

04

HiveLens

Metadata & meaning

Builds a unified view of your data with business context, lineage and discoverability.

Four coordinated DataHive engines on Apache Iceberg HiveCore runtime and control, HiveFlow ingestion and pipelines, HiveGuard policy and evidence, and HiveLens metadata and meaning connect to an open storage layer for analytics and AI. HiveCore HiveFlow HiveGuard HiveLens Runtime &control Ingestion &pipelines Policy &evidence Metadata &meaning APACHE ICEBERG OPEN STORAGE LAYER FOR ANALYTICS AND AI

Governance
belongs in the path.

Policy, controls and evidence flow with your data — across every engine, from source to insight.

Source
permissions

Respect and enforce access at the source and carry permissions through the flow.

Policy
enforcement

Consistent, centralized policy across data, pipelines and usage.

Evidence
& lineage

Track what happened, why and where — with end-to-end lineage.

Built around your environment.

Appliance

Start on a single server.

Standard

Scale within your
infrastructure.

Cluster

Plan for distributed
operations.

Deployment profiles are architecture targets; availability is reviewed for each pilot.

Make your data strategy your own.

Bring a business challenge. Explore the architecture. Shape the next milestone.

DataHive

Let's explore your use case.

Tell us about your data, your environment, and the challenge you want to solve.

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Explore a data source

This is an illustrative architecture example.