MySQL is the world’s most widely used open-source database. It is a popular choice for web applications and is the core of the LAMP stack. However, it is built on a disk-based OLTP architecture which doesn’t scale well to increasing volumes and varieties of data. Its inability to do sophisticated analytics especially in a mixed workload scenario means that either data has to be pulled out of the database into a data warehouse or sucked into the application layer. This often leads to a very brittle and complex architecture.
SAP introduced SAP HANA One – a cloud-provisioned instance of SAP HANA – a columnar, in-memory database that allows users to simultaneously store (OLTP) and analyze (OLAP) data. SAP HANA allows you to embed advanced analytic features into your MySQL applications so you will be able to:
- Turbo-charge your applications – Accelerate under-performing applications by delivering real-time insights and a snappy user experience.
- Leverage Ad-hoc Analytics Manage and analyze volumes of data while large quantities of machine data are being generated and captured.
- Enable Query Processing- Use SQL to perform predictive, text and geospatial analytics by combining relational with unstructured text and location data.
The cookbook gives examples, code snippets and documentation to pair your MySQL database with SAP HANA so you can use the technologies that are best suited to the task at hand – MySQL for transaction processing and SAP HANA for high-powered analytic functionality.
To learn more about how you can boost your MySQL applications with SAP HANA One, click here for more information.