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From Delta Lake and Unity Catalog to Mosaic AI

When Data & AI need to scale

You want to process large volumes of data, run complex pipelines reliably and bring AI applications into production? Databricks gives you the platform to do exactly that.

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Build on open standards

With Delta Lake, Apache Spark and open data formats, you stay flexible – instead of locking yourself into a closed platform.

Bring data and processes together

Databricks connects data engineering, analytics, machine learning and GenAI on one platform – from pipeline to model.

Stay in control

With Unity Catalog, you can manage access, governance, lineage and security centrally – across teams, workspaces and domains.

The whole Databricks stack from a single team

Databricks brings together everything modern Data & AI platforms need: an open data architecture, scalable engineering, strong governance and production-ready AI. Delta Lake provides a reliable data foundation, Apache Spark processes large data volumes efficiently, Unity Catalog gives you control and transparency – and Mosaic AI helps you turn machine learning and GenAI into productive use cases.

We support you in setting up this stack properly: from architecture, data pipelines and governance to ongoing operations.

Our certification

Databricks Consulting Partner Select

As a Databricks Consulting Partner Select, we bring more than platform knowledge: certified expertise, hands-on project experience and direct access to the Databricks ecosystem. For you, that means less uncertainty when building your lakehouse platform, clearer architecture decisions and a faster path from idea to productive Data & AI use case.

Typical Databricks use cases

Databricks comes into play when data projects become more demanding and use cases need to scale.

Build a central data lakehouse – Bring data from different systems together in an open, scalable platform.

Automate complex data pipelines – Prepare large volumes of data reliably and make them available for analytics, applications or AI.

Analyze real-time data – Continuously evaluate sensor, log or transaction data and react when deviations occur.

Run ML and GenAI applications in production – Implement forecasting, RAG assistants, agents or predictive maintenance in a stable and scalable way.

Manage governance and security centrally – Use Unity Catalog to define access, data quality, lineage and responsibilities in a clean and transparent way.

From Delta Lake and Unity Catalog to Mosaic AI

Why Databricks

The whole Databricks stack from a single team

Our certification

Databricks Consulting Partner Select

Typical Databricks use cases