Empower your organisation to process, analyze, and derive insights from your data efficiently and at scale.
Azure Databricks is an integrated, open analytics platform built on top of Apache Spark. It is used for constructing, deploying, sharing, and managing enterprise-level data, analytics, and AI solutions at scale. It is a fully managed first-party service that facilitates an open data lakehouse in Azure.
Azure Databricks empowers organizations to process, analyze, and derive insights from their data efficiently and at scale.
Azure Databricks uses generative AI to optimize performance and manage infrastructure. Natural Language Processing (NLP) allows you to search and discover data using natural language queries.
Azure Databricks uses generative AI to optimize performance and manage infrastructure. Natural Language Processing (NLP) allows you to search and discover data using natural language queries.
Databricks actively contributes to the open source community. Technologies like Delta Lake, MLflow, and Apache Spark originated from Databricks employees.
Azure Databricks seamlessly integrates with Azure services, allowing you to build and manage data lakes, analytics, and AI solutions within the Azure ecosystem.
Azure Databricks provides additional proprietary tools for optimized performance and ease of use, including:
