Retail is now multichannel and multi-device. To support the growth of your business, Java-based transaction, inventory, multichannel commerce and reporting systems must be able to handle unexpected loads and support advanced selling features, reporting and search that require large amounts of in-memory data.

Selling has also become more data-driven. Product recommendation engines, pricing systems, Big Data applications and click tracking all benefit from large amounts of in-memory data for better decisions that drive increased revenue. However, many Java-based reporting systems must be run in batch or with a subset of data due to performance issues. This impacts your ability to make real-time decisions and employ the best marketing and pricing strategies to improve sales.

For Java-based retail applications where performance is essential to business results, the Azul Zing™ JVM is the best choice. It is the only JVM able to provide predictable response times even under unpredictable loads and handle large amounts of in-memory data without performance penalty. Azul technology is in production use by top specialty and electronics retailers and department stores that consistently score in the top 10 on Keynote® and Gomez® rankings. It is ideal for product recommendation engines, reporting, Big Data, transactional systems and multichannel commerce.

The Zing JVM is completely transparent to your applications and requires no coding changes.