Databricks is now one of the most powerful platforms for data engineering, analytics and modern AI. We'll show you how to utilize the full potential of this platform. Automated, scalable, and cost-effective.
As a certified Databricks partner, we support you from setting up the first pipeline to a productive AI use case. Thanks to our automated infrastructure-as-code approach, you can start your use case within a few days without losing valuable time in the technical setup. This shortens your time-to-market and increases the quality of your data at the same time.
We help companies implement Databricks efficiently and use them productively. We are a consulting firm with deep technical know-how and many years of experience in data architecture and AI projects. Our team consists of certified Databricks experts who have already successfully transformed many companies.
The basis of our work is a reproducible, maintainable and automated infrastructure.
Thanks to our proven approach, we can start with your use cases right away without spending a long time with the technical basis.
Due to the significantly reduced technical setup effort, we have minimal start-up costs.
Databricks is a unified data and AI platform that combines data engineering, data analytics, machine learning, and generative AI in a single environment. The platform is based on the lakehouse approach, prevents data silos and enables companies to use data faster and more cost-effectively.
State of the art solution
Basis for scalable AI and GenAI use cases
Open standards with open source AI models
For AI in data modeling
Seamless integration into Microsoft universe
In close cooperation, we develop tailor-made solutions that are precisely tailored to your specific business goals and challenges and implement them in a targeted, sustainable and efficient manner with Databricks.
Our experts ensure the seamless integration of the platform into the existing IT landscape. Our goal is to provide an individual, powerful, and easy-to-use platform that gives you valuable insights into your data.
To ensure that you are optimally positioned for the long term, we offer you continuous support and development of your Databricks environment. We also train the team to cover all necessary competencies internally. This ensures continued efficiency of your data platform.
.svg)
From initial strategic consideration to productive operation: we're with you every step of the way.
We are not just implementation partners, we are strategic partners who understand that a successful transformation is not just a technical issue, but also an organizational and economic one.
With our infrastructure-as-code approach, we implement the technical installation in the shortest possible time at the push of a button.
We evaluate which systems should be connected, define milestones and sharpen requirements and use cases.
The implementation of your use cases is based on the individual milestones that we have defined together.
Databricks is suitable for almost all modern data and AI scenarios. This includes building scalable data pipelines, analytical data processing, real-time streaming, machine learning models, and GenAI and LLM applications. With the Unity Catalog, data governance, authorization management, and collaborative data sharing can be managed centrally. Databricks combines data, models and workflows in a uniform lakehouse platform and thus forms the basis for data-driven products and business processes.
In many cases, Databricks can completely or partially replace a classic data warehouse. As a lakehouse platform, Databricks combines the openness and flexibility of a data lake with enterprise-level SQL performance. Organizations benefit from ACID-compliant delta tables, SQL queries on cost-effective cloud storage, a central governance layer, and a unified compute model. However, whether a complete replacement makes sense depends on the existing data landscape, BI tools, latency requirements and team skills. We analyse your situation and recommend a suitable target image.
Databricks offers a significantly wider range of functions than a pure data warehouse. While classic warehouses are primarily optimized for BI workloads, Databricks also supports batch and streaming pipelines, data science & machine learning, generative AI and LLM workloads, open data formats without vendor lock-in. The Photon Engine and Delta Engine enable high performance for SQL workloads, while compute can be scaled in a resource-efficient and flexible way.
Companies that want to run BI analyses as well as ML models, data science or AI applications therefore benefit from a significantly more flexible and cost-effective approach.
Databricks runs on Azure, AWS, and Google Cloud. With our Microsoft Partner status, Azure Databricks is often the best choice, but we also support other clouds. The choice is yours.
We're taking your data management to a new level. Strategically and technologically.
From building a new modern data warehouse in Azure to customer-centric data management
The features of Azure OpenAI and how to tailor the GPT models to your use cases
