Architecture · Data Intelligence Hub

From source to decision maker.
On a single platform.

UpQuery is built on an integrated seven-tier architecture — replacing what typically requires five or more different vendors. All in a single corporate environment, fully managed.

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Data Intelligence Hub UpQuery architecture — data flow from enterprise sources to decision maker, undergoing ingestion, Structured Data Lake, processing and delivery channels

Complete Data Intelligence Hub UpQuery architecture — reading from left to right.

The seven layers in detail

Each layer is part of a coherent whole.

Unification isn't just commercial — it's architectural. The seven layers share metadata, governance and execution cycle.

Why a Hub is different

Modern Data Stack vs. Data Intelligence Hub.

The difference that matters when comparing architecture when making technical decisions.

TRADITIONAL APPROACH

Modern Data Stack

5 a 7 different suppliers integrated point-to-point: Fivetran or Airbyte for ingestion, Snowflake or BigQuery for storage, dbt for modeling, Power BI or Tableau for visualization, Power Automate for messaging, and an extra layer of conversational AI. Each contract with its own pricing model, your latency and your operation team.

UPQUERY APPROACH

Data Intelligence Hub

A unique platform, fully managed, that brings together intake, Data Lake, preview, messaging, Conversational AI, monitoring and governance in a single environment. Operated by your team, powered by UpQuery, with native governance from day one.

Next step

Let's discuss the ideal architecture for your operation?

Schedule a technical conversation 45 minutes with an UpQuery architect. We assess your current scenario and show how the Hub fits in.

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