Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...

A decade ago, Ion Stoica and his colleagues at UC Berkeley's school of computing identified the roadblock to performing advanced analytics. The challenge at the time was what we then called Big Data.

The hyperscalers, cloud builders, HPC centers control the design and manufacturing of own AI infrastructure. They have big bucks, and they can afford to get exactly what they want. For the rest of the ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Informatica (NYSE: INFA), an enterprise cloud data management leader, today announced an expanded partnership with Databricks with new product capabilities and ...

The past few months have highlighted that the battle between Snowflake Inc. and Databricks Inc. is as hot as ever. The two companies have different philosophies. But there’s no question that ...

The recent Databricks Data+AI Summit attracted a large audience and, like Snowflake Summit, featured a strong focus on large language models, unification and bringing AI to the data. While customers ...

Palantir is combining its Artificial Intelligence Platform (AIP) with Databricks' software infrastructure. Palantir's real-time data analytics and Databricks' storage and processing specialty can help ...

Many organizations rely on Databricks’ Lakehouse Platform for storing and analyzing data, both structured and unstructured. To run your decision support queries quickly, it is important to select ...

The joint press release from Google and Databricks says the latter is now "the only unified data platform across all three clouds." While that may seem a bit hyperbolic, Databricks does indeed offer a ...