Author: Emma McGrattan

Feed: Actian. Author: Emma McGrattan. Today we are excited to announce the release of Actian Avalanche on Microsoft Azure. Azure is growing significantly as a platform in the enterprise space and becoming the de facto choice for retail analytics. Hence, making Actian Avalanche available on Microsoft Azure has been a priority for us.With this release, Actian Avalanche is now available on Microsoft Azure, AWS, and on-premises, delivering on our hybrid and multi-cloud vision. We have added new features to this release, like independent scaling of compute and storage resources. This is particularly appealing to those customers who have large amounts ... Read More

Feed: Actian. Author: Emma McGrattan. Why Performance MattersMy very first sales call to an analytics prospect was with a customer using an OLTP database for reporting. Some of their reports took hours to run and one particularly challenging report typically ran for more than thirteen hours. Our performance benchmarking had shown that for analytics workloads, Actian would be up to 100 times faster than an OLTP database and I was anxious to see if that would hold true in the real world.  Indeed, we were able to take the 13-hour report and complete it in less than twenty seconds. It ... Read More

Feed: Actian. Author: Emma McGrattan. Today we are excited to announce the release of Actian Avalanche for Microsoft Azure. Azure is growing significantly as a platform in the enterprise space and becoming the de-facto choice for retail analytics. Hence, making Actian Avalanche available on Microsoft Azure has been a priority for us.With this release, Actian Avalanche is now available on Microsoft Azure, AWS, and on-premises, delivering on our hybrid and multi-cloud vision. We have added new features to this release, like independent scaling of compute and storage resources. This is particularly appealing to those customers who have large amounts of ... Read More

Feed: Actian. Author: Emma McGrattan. This is the fourth and final installment of an in-depth blog series examining the findings of the recent Actian Datacast 2019: Hybrid Data Trends Snapshot. The survey (which polled 303 IT professionals with influence or decision-making ability at companies of 250+ employees) identified four key trends which were illustrated in the Datacast Infographic.Our weekly blog series has explored each of these trends in greater detail. You can find the complete blog series by visiting Data @ Work, the official Actian blog Hybrid Environments In the prior three blogs from this series, we looked at i) ... Read More

Feed: Actian. Author: Emma McGrattan. Looking around at Strata this morning I observe that the folks here fall into three broad categories: The t-shirt wearing techie who proudly wears their favorite logo’ed t-shirt e.g. “Data is the New Bacon” and who is here to reassure themselves that there isn’t much that they don’t know about what is happening in the data ecosystem. Then there’s the golf-shirt wearing tech professional.  They either have booth-duty later, or they’re here on a mission to find a solution to a data problem at their company. And finally there’s the jacket/ blazer wearing corporate executive.  ... Read More

Feed: Actian. Author: Emma McGrattan. We are pleased to announce the availability of Actian Vector 5.1.  This release includes enhancements across the product, but the primary focus is with security, performance, and new customer enablement.This post provides an overview of some features added to this release. Security With the advent of GDPR we’ve seen heightened focus on security. Earlier Actian Vector releases included all the capabilities required to support a GDPR-compliant deployment, but we added features in Vector 5.1 to ease the administration and development of secure solutions. Data Masking Actian Vector 5.1 enables database administrators or security administrators to ... Read More

Feed: Actian. Author: Emma McGrattan. Today we announce the introduction of the next release of Actian Vector in Hadoop, extending our support of Apache Spark to include direct access to native Hadoop file formats and tighter integration with Spark SQL and Spark R applications. In this release, we also incorporate performance improvements, integration with Hadoop security frameworks, and administrative enhancements. I’ll cover each of these in greater detail below.Combine Native Hadoop Tables with Vector Tables In previous releases, Vector in Hadoop required data to be stored in a proprietary format which optimized analytics performance and deliver great compression to reduce ... Read More