Databricks
SAP
In a nutshell
Databricks is a cloud-based data and AI platform that brings together data engineering, data warehousing, analytics, machine learning, and AI applications on a single platform. The technology is based on the so-called "Lakehouse" approach, which combines the advantages of traditional data warehouses and modern data lakes.
Companies use Databricks to integrate and prepare data from a wide variety of sources and make it available for analytics, planning, machine learning, or AI applications. Databricks is used both on its own and in combination with platforms such as Microsoft Fabric or SAP Business Data Cloud.
Why is Databricks important?
Many companies today face a similar challenge: data is scattered across ERP systems, CRM solutions, cloud applications, files, data warehouses, and other platforms. At the same time, demands for analytics, self-service, forecasting, and AI are on the rise.
Traditional architectures are increasingly reaching their limits in this regard. Often, there are separate platforms for data integration, reporting, and machine learning. This increases complexity, complicates governance, and extends the time to value.
Databricks therefore takes an integrated approach. With a unified platform for data engineering, analytics, and AI, companies can manage data in one central location and use it for a wide variety of use cases. The Lakehouse approach, in particular, plays a central role here, as it allows structured and unstructured data to be processed together.
In addition, Databricks is gaining importance due to the increasing use of artificial intelligence. Modern AI applications require large amounts of high-quality, well-organized data. Databricks combines a data platform, governance, and AI capabilities into a single environment, thereby creating a foundation for scalable AI and GenAI applications.
Databricks is also playing an increasingly important role in the SAP ecosystem. With the introduction of the SAP Business Data Cloud, Databricks was integrated as a central component of SAP’s future data strategy, where it serves as the platform for data engineering, machine learning, and AI applications.
How does celver AG provide support?
For many years, celver AG has been helping companies build modern data platforms and implement analytics, AI, and cloud projects. Databricks is a key component of many modern target architectures.
We support our customers from strategy through architecture design and governance to the technical implementation and operation of production Databricks platforms. In doing so, we always consider the entire data landscape, not just individual technologies. Databricks is often used in conjunction with platforms such as SAP Business Data Cloud or Microsoft Fabric.
Typical questions from our customers include:
- When is Databricks a good choice, and when isn't it?
- What does a modern data platform with Databricks look like?
- How do Databricks and Microsoft Fabric differ?
- What role does Databricks play within the SAP Business Data Cloud?
- How can AI and machine learning applications be used effectively?
- How Can You Achieve Effective Data Governance with Unity Catalog?
- How are data products built on a Databricks platform?
Our goal here is not to introduce yet another technology platform, but to create a sustainable data architecture that supports analytics, planning, data science, and AI in equal measure.
Related Terms
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Frequently Asked Questions
Not in the traditional sense. Databricks takes a "lakehouse" approach, combining the capabilities of a data lake and a data warehouse on a single platform.
Typical areas of application include data engineering, data integration, analytics, machine learning, AI applications, and the delivery of data products.
Both platforms address modern data and analytics requirements. Databricks is often used for complex data engineering, machine learning, and AI scenarios. Which platform is more suitable depends on the requirements, available expertise, and the existing system landscape.
Within the SAP Business Data Cloud, SAP Databricks serves as the pro-code platform for data engineering, machine learning, and AI applications. It complements components such as SAP Datasphere and SAP Analytics Cloud within the unified SAP data architecture.
