Blog:
AtScale Technology

Updated July 18, 2019

AtScale’s 2019.2 product release introduces a time-series and time-relative analysis capability for large volumes of data across disparate databases and platforms. This enables data analyst and data science teams to easily access large volumes of time-series data and quickly query…

Updated June 24, 2019

Technology is risky. I understand risk. It was risky starting a company. It was risky for our amazing investors to invest in us. Risk is part of life and cannot be avoided because with risk comes the potential for reward.…

Updated June 13, 2019

Better Business Intelligence performance for faster time to insights Business Intelligence (BI) and Multidimensional Analytics (MA) transform how enterprises make decisions by delivering insights across the entire business, including sales, marketing, human resources, and other critical operations. These insights are…

Updated June 5, 2019

At AtScale, we’re committed to helping enterprises realize the value of their legacy platform investments and capitalize on the speed at which data is proliferating. Data architecture modernization is a major business driver for our customers and it's our primary…

Updated May 6, 2019

Every new enterprise solution introduces a multitude of problems. For the enterprise, the solution that has introduced the most complexity to the business has been cloud transformation. According to IDG, 73% of organizations have at least one application, or a…

Updated March 11, 2019

How valuable is an insight if you don’t know what’s driving it? The investment in big data made in recent years by companies has been significant. Many are now looking to capitalize on the insights to be discovered in their…

Updated March 8, 2019

The more things change, the more they stay the same. There is tremendous push towards new platforms capable of dealing with massive amounts of data. Data is flowing at a scale once considered impossible, and the sources of data are…

Updated March 6, 2019

Every once in awhile, our team gets questions about the validity of Hadoop. Why it exists, why people should consider using it, etc. In the below video, I provide a few examples of cases across common industries like financial services…

Updated March 4, 2019

Just last week Cloudera released some impressive performance numbers showing how the Impala SQL-on-Hadoop engine scales to support concurrent query workloads. The Cloudera blog post confirms what we at AtScale have experienced with real-world customer installations – that Impala plus…

Updated March 4, 2019

In the fifteen years since Tableau was founded, it has emerged as one of the preeminent business intelligence software tools, to the extent that only Microsoft Excel is utilized by more enterprises to analyze data. Tableau’s popularity stems in many…

Updated March 4, 2019

Trystan here, Software Engineer and doer of all things technical at AtScale. Which SQL-on-Hadoop engine performs best? We get this question all the time! We looked around and found that no one had done a complete and impartial benchmark test…

Updated March 4, 2019

I’ve asked it before and I’ll ask it again. Wouldn’t it be great if you could easily analyze ALL your data from a Excel single file? We all know this isn’t feasible; especially when dealing with big data and complex…