March 6, 2019
TECH TALK: BI-on-Hadoop Engine Wars Continue…Everybody WinsJust 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…
Is it October already? It’s hard to believe that October is here. It feels like only a few days ago that we released AtScale 5.0 and AtScale 5.5. Both releases contained a number of great new features that I was…
The Forecast Calls for Cloudy Weather You don’t have to be a clairvoyant to know that there is an ever-increasing trend in cloud adoption among start-ups and enterprises alike. In the world of Big Data, the past few years have…
March 4, 2019
Unprecedented Concurrency with AtScale and Cloudera ImpalaJust 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…
Wouldn’t it be great if you could load all of your data from a single file into an Excel pivot table for easy analysis? Unfortunately, this approach isn’t usually viable when dealing with complex business analytics and big data. Take…
The growing popularity of big data analytics coupled with the adoption of technologies like Spark and Hadoop have allowed enterprises to collect an ever increasing amount of data - in terms of breadth and volume. At the same time, the…
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…
As more and more enterprises adopt Hadoop as their next generation data platform, the demands of traditional enterprise workloads, including support for Business Intelligence use cases, are creating challenges. While Hadoop excels at low-cost distributed storage and parallel data processing,…
In the world of Business Intelligence and Big Data there continue to be a number of exciting innovations as new and improved options for processing large data sets appear on the market. You may be familiar with AtScale’s BI-on-Hadoop Benchmarks…
Data Lake Intelligence with AtScale In my recent Data Lake 2.0 article, I described how the worlds of big data and cloud are coming together to reshape the concept of the data lake. The data lake is an important element…