Databricks' unified, data-centric approach to machine learning from the lakehouse enables businesses to embed AI at scale and allows models to be served by the data and ML training platform.

Big-data analytics company Databricks Inc. is sharpening its focus on artificial intelligence workloads, announcing today a major update to its Unified Analytics Platform that should help to ...

The new Automated Machine Learning (AutoML) capabilities empower expert and citizen data scientists alike. Databricks’ Unified Analytics Platform is using machine learning to augment data preparation, ...

Unified Data Governance: Manage and govern all data and ML assets with Unity Catalog, including those consumed and produced by model serving. Databricks is committed to driving innovation with its ...

Databricks launched an open-source Data Sharing initiative and a new machine learning platform.

Organizations can improve performance and reduce costs by replacing the stock Databricks Runtime for Machine Learning libraries with versions optimized by Intel. Here’s how to get started.

Databricks is an innovative data analytics platform designed to simplify the process of building big data and artificial intelligence (AI) solutions. It was founded by the original creators of Apache ...

Databricks’ Unified Data Analytics Platform allows organizations access to all of their big data and traditional data for business intelligence and machine learning on one platform.

Azure Synapse: Best for unified data analytics across big data systems and data warehouses. Databricks: Best for use cases such as streaming, machine learning, and data science-based analytics.

Therefore, selection often boils down to platform preference and suitability for your organization’s data strategy: Databricks: Best for real-time data processing and machine learning capabilities.