November 26, 2018 What’s new in Actian DataFlow version 6.6.1? Actian DataFlow is a parallel workflow platform for end-to-end data access, transformation, preparation, and predictive analysis that eliminates performance bottlenecks in your data-intensive applications. Complementary to the Actian Vector analytic database, DataFlow leverages concurrency, parallelism and pipelining to accelerate data movement between locations in your data architecture, creating faster results. DataFlow eliminates memory constraints,… Read More
September 19, 2017 Vector in Hadoop 5.0 – New Features You Should Care About 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… Read More
May 9, 2016 Accelerating Spark with Actian Vector in Hadoop One of the hottest projects in the Apache Hadoop community is Spark, and we at Actian are pleased to announce a Spark-Vector connector for the Actian Vector in Hadoop platform (VectorH) that links the two together. VectorH provides the fastest and most complete SQL in Hadoop solution, and connecting to Spark opens up interfaces… Read More
May 3, 2016 Amazon EMR as an Easy-to-set-up Hadoop Platform Recently I helped a customer perform an evaluation of Actian Vector in Hadoop (VectorH) to see if it could maintain “a few seconds” performance as the data sizes grew from one to tens of billions of rows (which it did, but that’s not the subject of this entry). The customer in question was only… Read More
May 2, 2016 Taking Advantage of Ordered Data Actian Vector and Vector in Hadoop (VectorH) have a lightweight, but very potent, feature that can give a significant performance boost when querying data that possesses some kind of ordering. This entry takes a look at this feature and describes how to use it. The feature utilises what are referred to as MinMax structures.… Read More
April 27, 2016 Hadoop at 10 Wow – 10 years of Hadoop, what a ride. Actian has been working in the Hadoop ecosystem almost since the beginning, starting in 2007. Actian started working with Hortonworks the moment they launched in 2011. As a pioneer in this space, we have witnessed the whole “boom”. And while Hadoop is continuing to show… Read More
April 14, 2016 Analytics Cube and Beyond Big Data engineering has invented a seemingly endless supply of workaround solutions. These are for both scalability and performance problems. Ultimately, our approach to solving these problems dictates how sustainable they will be. This post compares some modern best practices with pre-processing cube environments. 3 Ways A Hadoop Database Competes With Cube Analytics Software… Read More
December 27, 2017 High-Performance Realtime-Analytics on Hadoop Data The Challenge I have spent many years working with Actian's customers on database solutions and thought it'd be useful to discuss a recent customer experience at a large media company (I will call it "XYZCo"). This experience is similar to what I continue to see with other customers and the lessons learned apply to… Read More
May 4, 2016 Pssst .. Have you heard about VectorH? Hello World! We’ve been busy building some innovative features into the Actian Vector in Hadoop (VectorH) product and we would love to tell you all about them. So, the list of the features and innovations that we have done recently for VectorH… wait .. do you even know what VectorH is about? Yes, it’s… Read More
