Your browser is out of date!

Update your browser to view this website correctly. Update my browser now


Harnessing the value of data in real-time is an increasingly common use case for Hadoop. However, advancements were necessary to fill important gaps in the storage layer. When building applications, users often had to choose: Extremely fast analytic scan rate with no ability to handle real-time modifications (HDFS with Apache Parquet) or very fast random access at the cost of scan performance (Apache HBase). For real-time analytic applications that required fast analytic performance over updating data, we started to see complex “hybrid architectures” emerge.

Complete the form to view this resource. We believe strongly in user privacy.