Five years ago, Databricks debuted the world’s first data lakehouse, which combined the beneficial aspects of data lakes and data warehouses. Thanks to the rise of AI, the nature of data platforms is ...

Azure Synapse uses a massively parallel processing architecture ideal for enterprise data warehousing, while Databricks leverages Spark’s in-memory processing for real-time analytics and AI ...

As a data lake, Databricks’ emphasis is more on use cases such as streaming, machine learning, and data science-based analytics. The platform can be used for raw unprocessed data in large volumes.

With the Databricks Data Intelligence Platform, we’re unifying data and AI to drive more innovation, enrich our products, and develop new capabilities for our customers,” said Andy Markus, Chief Data ...

Dubbed Data Intelligence Platform for Communications, the offering combines the power of the company’s data lakehouse architecture, generative AI models from MosaicML – acquired less than a ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...

Arctic Wolf is integrating its Aurora security operations platform with the Databricks Data Intelligence Platform to help ...

Databricks Data Intelligence for Energy is built atop the company’s Data Lakehouse architecture platform and has been enhanced with generative AI capabilities, Trisal explained in a blog post.

The Aurora Platform is the industry’s largest open security operations platform, built to operate at unmatched scale and ...

Overall, Databricks Lakehouse Platform is almost excellent as a data lake that can replace a data warehouse. It’s not for everyone, however, and it’s not quite feature complete.