Blog

Updated April 26, 2022

As organizations become more data-centric, companies are bringing in data from more sources and storing more volume. That's only added more fuel to the ongoing data cloud 'platform wars', particularly with Databricks and Snowflake.  With some exciting benchmark results recently…

Updated March 22, 2022

As customers shift their data infrastructure to cloud data platforms such as Google BigQuery, Snowflake, or Databricks, AtScale is the only provider of a semantic layer and dimensional analysis capability that accelerates performance with no need to extract data from…

Updated November 29, 2021

AtScale was conceived as an independent semantic layer for data and analytics for business intelligence users. Leading BI teams use AtScale to create enterprise metrics hubs, enabling self-serve access to a consistent source of metrics that are tied to data…

Updated November 4, 2020

Where is the industry going in terms of large scale data and machine learning data? We’ve made fantastic strides over the last five-eight years, but business-centric analytics has not reduced in value. Much of the business intelligence and data science…

Updated August 18, 2020

Throughout AtScale’s history, our focus is to provide our customers with a business-friendly data interface which both abstracts away the complexity of the underlying data model and autonomously builds Acceleration Structures to optimize queries (performance and compute). As the data…

Updated June 29, 2020

*Author’s Note: This is an update to the blog post “The 1990’s Called, They Want Their OLAP Back,” originally published in June 2020. For the modern cloud-first data pro, the terms “OLAP” and “cube” are dirty words. That said, many…

Updated April 13, 2020

It has been a few weeks since my last note to the AtScale community about our commitment to customers and partners during this unprecedented time of COVID-19. First and foremost, the thoughts and prayers of the AtScale family are with…

Updated April 1, 2020

OLAP is the acronym for OnLine Analytical Processing. Database researcher, E. F. Codd, coined the term "on-line analytical processing" (OLAP) in a whitepaper published by Computerworld in 1993 that set out twelve rules for analytic systems. The term OLAP was…

Updated July 23, 2019

Google BigQuery revolutionized data warehouses with its cloud based, serverless, fully managed data platform. Turn BigQuery into a massively parallel, multi-dimensional powerhouse with AtScale. AtScale and Google BigQuery together provide a cost effective, business friendly, analytics solution that includes a…

Updated March 4, 2019

In 1992, Arbor Software shipped the first version of Essbase. Which stands for Extended Spreadsheet Database. In 1998, Microsoft shipped Microsoft SQL Server Analysis Services. The time of multi-’dimensional’ databases had come into full being and almost 30 years later…