Imagine a future where data is understandable and usable for everyone in the company—simply, in natural language, and without complexity. The intelligent combination of data, AI, and governance creates transparency, efficiency, and the foundation for true innovation.
The latest Gartner report confirms it: Databricks achieves top marks in execution and vision, making it an indispensable partner for data scientists, AI engineers, and analytics executives.
With Databricks, you’re not just shaping the future of your data—you’re shaping the future of your business. Passion, innovation, and responsibility merge into a new data culture that transforms markets and turns visions into reality.
With sumIT at your side, Databricks becomes more than just a platform that supports your strategy—it becomes a real competitive advantage that strengthens your business in the long term and expands your market position. We help organizations unleash their innovative power from data, turn visions into reality, and get more out of their potential.
The Databricks Data Intelligent Platform is more than technology—it is your springboard into a new era of data excellence. It provides the tools and services to turn visions into reality and lead your company into the future in a sustainable way.
The Databricks Lakehouse approach transforms your data into fuel for innovation and growth
Company data becomes accessible, understandable, and usable for all employees—regardless of their technical skills. This creates a culture in which data-driven decisions are the norm, efficiency increases, and the full value of big data is realized.
At the heart of this is data democratization: employees are given self-service tools that give them the freedom and responsibility to analyze and use data independently. This enables each individual to become a creator of success.
Modern data lakehouse architecture combines the flexibility of a data lake with the structure and reliability of a data warehouse – into a single, unified platform for business intelligence, machine learning, and advanced analytics. Whether structured, unstructured, or semi-structured data: everything flows together in one system that simplifies management and eliminates silos.
The data lakehouse approach is a modern data architecture that combines the flexibility of a data lake (storage of all types of data in raw form) with the structure, reliability, and analytical capabilities of a data warehouse (pre-processed data for D&A) to create a single, unified platform for business intelligence, machine learning, and advanced analytics. It enables working with structured, unstructured, and semi-structured data in a single system, simplifying data management and reducing the need for separate and outdated (siloed) systems.
Examples of our expertise:
- Use case-driven design and approach to building the platform
- Implementation of data mesh and data as a product
- Data engineering through the creation of data pipelines with Python Notebooks or Lakeflow
- Provision of data warehouse functionality by setting up a medallion architecture through division into bronze (raw data), silver (cleaned data), and gold (business-relevant, modeled data)
- Establishment of transparent data governance processes with the support of the Unity Catalog
