Welcome to B23 Data Platform, the Next Big Thing in Big Data!

January 28th, 2016 B23 Data Platform is a new and innovative software solution that allows end-users to launch complex “Big Data” distributed processing clusters with a few clicks of the mouse. We call these distributed processing systems Stacks. Examples of Stacks include Hadoop, Kafka, Storm, Spark, Zeppelin, Metron, Elasticsearch, H2O, etc. Using B23 EasyIngest capability, these Stacks can be automatically populated with user-selected data sets during the provisioning process, eliminating the need to manually build a data pipeline. The entire process from start to finish is a few minutes long. B23 Data Platform can launch one or many different stacks simultaneously, all ingesting similar or different sets of data in a secure Space in the Cloud. Terminating Stacks is just as easy. During a recent sales meeting demonstrating B23 Data Platform, a potential enterprise customer told us that he was having an emotional experience and that he had “dreamed of something like this for a long time.” Well, we’ve been dreaming about this for a while too! This is one of many positive reviews since we launched our private beta only a few weeks ago. We are so excited to launch B23 Data Platform to a broader audience to share what makes this software solution so special. Along our journey over the past several years almost every one of our customers expressed a common desire which was “We hired really talented analysts/data scientists/quants to analyze our data to derive strategic insight, and too often they are stuck in the Hadoop cluster fixing some configuration or system setting. How do we fix this?” B23 Data Platform was designed and built by analysts for analysts. Ironically, very few of our “developers” are traditional computer scientists although we all share a passion for software development and data. Customers have been asking for a repeatable deployment methodology, consistent “look and feel”, and a user interface that “boiled down” a seemingly endless number of configuration parameters to choices that intuitively made sense to...