November 4, 2019
Employee Spotlight: Daniel GrayThe core of our organization is our team. And at AtScale, we’re a team of thinkers, innovators, and most importantly, doers. Want to know what it takes to join us? Today we introduce you to Daniel Gray, VP of Sales Engineering…
October 21, 2019
Employee Spotlight: Brandon RevelliTeam AtScale is always evolving. Since being founded in 2013 in San Mateo, we’ve traveled across the country and in late 2018, broke ground on a second home in Boston. Throughout these six years, we’ve been recognized in CRN’s Emerginging…
April 19, 2019
Analyzing Gartner’s 2019 Magic Quadrant for AnalyticsOn February 11th, 2019, Gartner released its latest magic quadrant for analytics and business intelligence platforms. As we’ve done since 2016, we will highlight who Gartner considers the market leaders to be, as well as any notable changes and constants…
March 7, 2019
Gartner Magic Quadrant for Business Intelligence (BI) 2018: The Good, The Bad, The Ugly…Every year, many of you reach out to thank us for our analysis of Gartner's famous Magic Quadrant for Business Intelligence. Thank you all for your feedback! This year, we've decided to go one step further: in addition to our…
Yesterday, Gartner published the 2018 Magic Quadrant for Business Intelligence. The MQ research for BI has been in existence for close to a decade. It is THE document of reference for buyers of Business Intelligence technology. At face value, not…
Five years ago we had a hypothesis that Business Intelligence (BI) needed a reboot. We planned to take the best parts of original BI ideas and merge them with modern engineering and data analytics to build a platform for delivering…
March 6, 2019
What You Might Have Missed in March 2018March is gone and Spring has arrived, at least for many of us. A lot happened in March, and we certainly don't want you to miss out on what’s big on big data. Without further ado, here is what you…
Just this week, AtScale published the Q4 Edition of our BI-on-Hadoop Benchmark, and we found 1.5X to 4X performance improvements across SQL engines Hive, Spark, Impala and Presto for Business Intelligence and Analytic workloads on Hadoop. Bottom line, the benchmark…
The rapidly exploding demand for business intelligence on big data is nothing new - this trend is clearly indicated in recent Big Data Maturity surveys. As shown in the graphic below, 75% of respondents are planning on deploying BI workloads…
Yesterday, Gartner published the 2017 Magic Quadrant for Business Intelligence. The MQ research for BI has been in existence for close to a decade; it is THE document of reference for buyers of Business Intelligence technology. Contrary to last year’s…
