Enterprises are struggling to derive business value from the onslaught of structured, semi-structured, and unstructured data. Legacy data warehousing and analytics platforms don’t deliver the speed and scale necessary in today’s big data world.
The Hadoop Distributed File System (HDFS), in turn, is an open-source distributed file system that can serve as an effective storage ground for large amounts of data. Hadoop is well suited for batch processing where immediate interactive analytics are not required. HP Vertica Analytics Platform consists of a massively parallel database and an extensible analytics framework optimized for real time analytics of data scaling from gigabytes to petabytes. HP Vertica and Hadoop are complementary analytics platforms purpose-built for big data. Both are modern, scalable, massively parallel processing (MPP) systems built for commodity hardware at considerably lower total cost of ownership.
Here are some real-world examples on how enterprises are using the HP Vertica Analytics Platform to help accelerate their Hadoop environment.