Building a unified analytics platform with Databricks

The data intelligence platform that unifies all your data & AI

Databricks is a unified data and AI platform from the creators of Apache Spark™, streamlining the entire analytics lifecycle - from data prep to genAI deployment. It accelerates innovation by unifying data science, engineering and business context.

With its lakehouse architecture, Databricks supports modern data use cases and data products, from IoT and big data processing to advanced analytics such as machine learning and genAI.

Databricks is available as a first-party service on Microsoft Azure, Amazon Web Service (AWS) and Google Cloud Platform (GCP) - bringing you everything you love about your favorite hyperscaler, such as enterprise-grade security, SLAs, and seamless integration with existing cloud services - plus Databricks’ fully managed workspace for modern data use cases.

And... delaware is a Databricks Elite Partner, which means you're in safe hands.

Databricks drives innovation by giving you a unified data intelligence platform for your modern data needs

Sven Arnauts, AI Lead

Some impressive highlights

Databricks focuses on modern data needs, enabling you to get started quickly without the hassle of managing a complex analytics landscape yourself.

Databricks' data intelligence platform offers several disruptive functionalities that set it apart in the data and AI landscape. These functionalities make Databricks a powerful tool for any modern data and AI enabled organization looking to harness the full potential of their data estate.

1. Unified data lakehouse

Databricks combines the best of data lakes and data warehouses into a single platform, known as the Lakehouse. This unification allows for seamless data management, analytics, and AI workloads, providing a comprehensive solution for data engineering, data science, and machine learning.

2. Generative AI capabilities

Databricks has integrated generative AI tools that enable users to develop and deploy large language models (LLMs) and other generative AI applications directly within the platform. This functionality accelerates the development of AI-driven solutions and enhances the ability to leverage AI for business innovation.

3. Data Intelligence Engine

Databricks has integrated generative AI tools that enable users to develop and deploy large language models (LLMs) and other generative AI applications directly within the platform. This functionality accelerates the development of AI-driven solutions and enhances the ability to leverage AI for business innovation.

4. Enhanced collaboration and governance

With Unity Catalog, Databricks provides robust governance and security features, ensuring data privacy and compliance. It also facilitates collaboration across data teams, enabling efficient data sharing and joint development of data and AI projects.