TMCnet News
New Google BigQuery benchmark helps enterprises assess emerging options for Business Intelligence on Big DataSAN MATEO, Calif., April 6, 2017 /PRNewswire/ -- AtScale, the first company to provide enterprises with a fast and secure self-service Business Intelligence platform for Big Data, released today the results of a Business Intelligence benchmark for Google BigQuery. The benchmark results can be viewed at www.atscale.com/bigquery The study, which evaluated Google BigQuery performance for key Business Intelligence (BI) workloads, reveals key insights that enterprise IT leaders should consider when modernizing their business intelligence infrastructure. Big Data's "New Normal": Heterogeneous & Hybrid As enterprise buyers weigh which technologies to deploy, it is essential to consider the ramifications their choices will have for their users. For instance, the benchmark results show that Google BigQuery's serverless architecture enables IT departments to quickly launch a Big Data service without the need to manage scalability. However, these new serverless architectures also require customers to consider the types of queries that will be run on this new platform. Queries with high-complexity and numerous table joins tend to perform differently on BigQuery than on traditional Hadoop systems. Additionally, different big data platforms handle filtered query results using varied approaches, resulting in differences in performance profiles across these solutions. "The AtScale benchmark provides enterprise leaders with useful comparisons they need in order to make BI work on Big Data. As the data world grows more complex and diverse, these benchmark stats help enterprises understand leading Big Data query ptions and make better decisions critical to supporting BI infrastructure," says Doug Henschen, Vice President and Principal Analyst at Constellation Research. This benchmark aims to shed a light on the performance of Google BigQuery in comparison with other more traditional SQL-on-Hadoop engines. In performing the benchmark, AtScale focused on the success criteria that satisfy enterprise Business Intelligence requirements, namely:
Some of the benchmark findings include:
"These results of this benchmark indicate a rapid evolution in the Big Data market," says Matt Baird, CTO and co-founder at AtScale. "Such a pace can be daunting for enterprises as they are already dealing with a fair amount of complexity: should they use Hadoop? Should they use BigQuery? What's the difference between on-premise Hadoop, in-cloud Hadoop and a serverless model like Google's?" These new developments are indeed an indication that the Big Data market has matured to its tipping point and that platform vendors like Google have become a viable solution to add to an enterprise's arsenal mix. This benchmark also offers insights for how enterprises can deploy Business Intelligence on any data, without compromising experience and speed. As enterprise CIOs' data investment spans across heterogeneous and hybrid data environments, they will have to set a bar for performance across all systems. They will also need to look for a solution that simplifies the complex and brings order to their Big Data chaos. "That's why we started AtScale," Baird concludes. The benchmark results can be viewed at www.atscale.com/bigquery Learn More About AtScale
To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/new-google-bigquery-benchmark-helps-enterprises-assess-emerging-options-for-business-intelligence-on-big-data-300435659.html SOURCE AtScale |