“Existing data warehouse architectures with centralized storage require that data be moved to compute clusters for processing, which creates a bottleneck and slows down performance,” said Rahul Pathak ...

Data warehousing tools gather data in a central repository for use by business units in business intelligence software. Snowflake and Amazon Redshift are both leading data warehousing software options ...

Firebolt will use most of the proceeds from the Series A round to accelerate development of its cloud data warehouse that the company says outperforms Snowflake and AWS Redshift. Cloud data warehouse ...

Serverless wasn't the only new feature announced last week. AWS also announced the preview of automated materialized views that treat the creation of these views much like cost-based query optimizers: ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...

The updates include a 75% cut in storage pricing, a new low-code Data Studio, and adoption of Databricks’ open source Delta Sharing protocol and Apache Iceberg. Oracle is set to cut storage pricing ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Gunasekaran S., director of data ...