In this series so far, I have introduced you to InfiniDB in “Getting to Know InfiniDB”, and taken you deeper into InfiniDB’s HDFS integration and columnar data files in “InfiniDB on HDFS”. In this blog post, I will show you how to load data into and extract data from InfiniDB.
There’s a mind numbing amount of different products and technologies all claiming to be the “Fastest SOL-on-Hadoop” - so much so that at the recent Hortonworks and Yahoo Hadoop Summit, it prompted Gartner’s Nick Heudecker (@nheudecker) to tweet that there were at least eight companies on the show floor proclaiming that tagline and fellow analyst Merv Adrian (@merv) to tweet that “Fastest SQL-on-Hadoop” has become its own product category.
BIG NEWS from Frisco, today! InfiniDB is excited to announce the release of version 4.6 of our fourth generation high-performance, Big Data analytics platform. This latest version includes enhanced support for large-scale join operations and support for additional data load commands for faster ETL.
In my blog post – “Getting to Know InfiniDB”, I introduced you to InfiniDB. As promised, in this blog post I will take you deeper into InfiniDB’s integration with Hadoop Distributed File System (HDFS) and InfiniDB’s columnar data file structure.
If you need analytics insight into huge data sets in real-time, you probably at some point googled “Big Data”, “Columnar Database”, “SQL on Hadoop”, “MySQL Storage Engine”, “Massively Parallel Database” or “Distributed Database”. And it is highly likely that you came across InfiniDB as one of the results. In this post, I will help you with get to know InfiniDB and to see how these google keywords applies to InfiniDB.