Relational DBMSs with Apache Ignite: Faster Transactions and Analytics
The 10x growth of transaction volumes, 50x growth in data volumes -- along with the drive for real-time visibility and responsiveness over the last decade -- have pushed traditional technologies including databases beyond their limits. Your choices are either to buy expensive hardware to accelerate the wrong architecture, or do what other companies have started to do and invest in technologies being used for modern hybrid transactional/analytical processing (HTAP).
Combining Apache Ignite with a Relational DBMS can offer enterprises the best of both open-source worlds: a highly-scalable high-velocity grid-based in-memory SQL database, with a robust fully-featured SQL persistent datastore for advanced analytics and data-warehouse capabilities.
Apache Ignite is the leading open source database, caching and processing platform. As an In-Memory Data Grid (IMDG), Apache Ignite can be inserted between an application and existing database to provide speed, scale, and high availability.
Topics to be covered:
* How to complement a Relational DBMS for Hybrid Transactional/Analytical Processing (HTAP) by leveraging the massive parallel processing and SQL capabilities of Apache Ignite.
* How to use Apache Ignite as an In-Memory Data Grid that stores data in memory and boosts applications performance by offloading reads from a Relational DBMS.
* The strategic benefits of using Apache Ignite instead of Memcache, Redis, GigaSpaces, or Oracle Coherence.