Skip to main content

Databricks

A unified Lakehouse platform for data engineering, data science and artificial intelligence - built on Apache Spark and running on any cloud.

Book a free demo
Sources ERP CRM Files & logs Streaming Lakehouse Delta Lake · OneLake Bronze Raw data Silver Cleaned & enriched Gold Ready for BI & AI BI AI
Illustration: lakehouse medallion architecture

What is Databricks?

Databricks is a unified data platform built by the creators of Apache Spark, implementing the Lakehouse architecture: combining the flexibility and low cost of a data lake with the performance and reliability of a data warehouse (DWH). On a single platform you run ETL processes, SQL analytics, machine learning and AI projects - with every team working on the same data.

The Medallion architecture - three layers

Bronze Raw data as it arrives from the sources - ERP, CRM, files and APIs
Silver Cleaned, consolidated and validated data - ready for processing
Gold Business-ready tables for analysis - the source for reports and models

Data flows from layer to layer in a controlled process: each layer adds quality, reliability and business value - up to the Gold tables that feed the reports, dashboards and AI models.

When do we choose Databricks?

  • Large data volumes or diverse sources - including unstructured data (files, logs, text)
  • A need for real-time processing - streaming and alerts
  • Data science, machine learning and GenAI projects alongside BI
  • A multi-cloud strategy - the same platform on Azure, AWS or GCP
  • Advanced data governance requirements - permissions, lineage and a central catalogue

Databricks and BI - how do they fit together?

The Lakehouse's Gold layer serves as a direct data source for Power BI and other BI tools. The organisation gets fast, reliable reports - on a single foundation that serves both the data teams and the AI projects.

What do we offer?

  • Scoping and setting up a Databricks environment - from source connectivity to the Gold layer
  • End-to-end Lakehouse development - architecture, development and maintenance
  • Migration from an existing data warehouse to a Lakehouse architecture
  • Connecting the Lakehouse to Power BI reports and dashboards
  • AI systems development on top of your organisational data

Solution benefits

Unified Lakehouse

A data warehouse and a data lake in one platform - no need to choose

Managed Apache Spark

Large-scale data processing with no infrastructure to manage

Delta Lake

ACID reliability, versioning and history on top of the data lake

Multi-Cloud

Runs on Azure, AWS and Google Cloud - to match your infrastructure

Built-in ML & AI

MLflow, machine learning models and GenAI on your organisational data

Unity Catalog

Data governance, permissions and lineage in a single place

Let's talk

Shall we begin?

Tell us about your business challenge — we'll get back to you with a tailored proposal, no obligation.

  • Free initial consultation
  • Reply within one business day
  • Personal guidance all the way