MySQL® is a widely used, open source relational database management system (RDBMS) which is an excellent solution for many applications, including web-scale applications. However, its architecture has limitations when it comes to big data analytics. As data volumes continue to increase exponentially, businesses continue to demand accurate real-time data analysis. That is extremely difficult to achieve with MySQL alone. Many MySQL users have leveraged additional open source and commercial solutions to enhance MySQL’s capabilities and add in-memory computing functionality. However, these point solutions lack the full functionality of an in-memory computing platform like Apache® Ignite™.
Apache Ignite, the leading open source in-memory computing platform, delivers both speed and scale to RDBMS-based applications. Inserted between the application and data layers and compatible with all common RDBMS, NoSQL, and Hadoop® databases, it has become a key tool for the implementation of real-time big data analytics. As an advanced high-performance cache platform for hot data, Apache Ignite can overcome the limitations of the MySQL architecture and do so better than alternative solutions such as Memcached, Redis®, Elasticsearch®, or Apache® “park™.
Businesses typically rely on a blend of open source and commercially available technologies to efficiently store and process large data volumes. System architects pursue the most optimal available solutions and then strive to make them work together. The Apache Ignite in-memory computing platform can easily be inserted into existing MySQL architectures to overcome the inherent limitations. This results in dramatically faster large-scale analytics and transactions without significantly increasing development and management overhead. To learn more about MySQL and open source database management systems, download this white paper.
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