Hadoop has become a popular Big Data framework because it provides near unlimited storage for unstructured or semi-structured data, as well as a massively parallel architecture for capturing and retrieving large volumes of content. However, Hadoop is a simple architecture with less built-in optimizations for highly interactive, multi-user query environments that most relational databases such as Vectorwise provide.
“Hadoop connectors” are necessary to make data on Hadoop available to the relational database for analysis. The Vectorwise Hadoop Connector makes it fast and efficient to load massive volumes of data from Hadoop into the fast and cost-effective Vectorwise analytic database.
Vectorwise is the record-breaking analytic database for performance and price/performance. Now with the Vectorwise Hadoop Connector, it is also possible to load data into Vectorwise from Apache Hadoop Distributed File System (HDFS) at extremely fast speeds on affordable commodity hardware. The Vectorwise Hadoop Connector makes it fast and easy to access data on Hadoop Distributed Files System (HDFS) and bring it into Vectorwise for fast answers.