Hazelcast and Heimdall Data Launch Intelligent SQL Optimization Solution

PALO ALTO, Calif., July 21 — Hazelcast, the leading open source in-memory data grid with hundreds of thousands of installed clusters and over 16 million server starts per month, and Heimdall Data, the next generation data access platform, today announced the launch of a new integrated solution which tackles the issue of on-premise or cloud application uptime and scalability caused by deficient application-to-database interaction. Guaranteeing improved application resiliency and cost savings, the combination of Heimdall Data and Hazelcast’s In-Memory Data Grid (IMDG) provides a comprehensive, all-in-one SQL solution that is easy to manage and seamless to deploy.

With small engineering teams and low budgets, organizations are challenged to continuously add application value while maintaining performance and scalability. Features and performance are both required to attract and retain end customers. The combined Hazelcast-Heimdall Data solution is designed to address application-to-database challenges with minimal overhead. Technical teams can now focus on adding revenue-generating functionality without the burden of infrastructure optimization.

Application bottlenecks are often due to latent and inefficient database interaction, resulting in poor performance and scale. Heimdall Data enables application owners to be worry-free about performance, high availability, and security at the data access layer. Along with Hazelcast’s in-memory caching, organizations dramatically speed up applications by reducing the query load on databases.

Support of an existing application with Hazelcast requires modifying the application code – something that is not always possible due to cost, time, or lack of source code access. However, when deploying Heimdall alongside Hazelcast, users can “Hazelcast-enable” any existing application without changing a single line of code. Heimdall’s off-the-shelf SQL solution installs in minutes and automatically works with Hazelcast.

Targeted for application developers and owners, IT operations, and architects, Heimdall intelligently and dynamically caches SQL queries at run-time and leverages the dramatic performance improvements from Hazelcast caching. In minutes, an application can be optimized, along with the added benefits of load balancing, high-availability with orchestrated failover, SQL firewalling, and performance analytics.

“Heimdall does intelligent SQL Load balancing. One aspect of that is caching of SQL queries. This is where Hazelcast comes in, providing the caching infrastructure. Heimdall also allows for failover, security interceptors, separation of read and write traffic and much more.  This is an exciting technology and a very nice integration with Hazelcast,” said Greg Luck, CEO of Hazelcast.

“Databases can greatly affect application performance. The Heimdall Data and Hazelcast joint solution addresses a real need in industry for optimization and scale at the data access layer. We evaluated the top in-memory cache vendors and found Hazelcast’s unparalleled performance and architecture to be a great fit for our SQL caching offering. We are excited to partner with Hazelcast,” said Roland Lee, CEO of Heimdall Data.

About Hazelcast, Inc.

Hazelcast is the leading provider of operational in-memory computing with tens of thousands of installed clusters and over 16 million server starts per month. The Hazelcast In-Memory Data Grid helps leading companies, like Capital One, Chicago Board Options Exchange, Deutsche Bank, Ellie Mae, and Mizuho Securities USA, manage their data and distribute processing using in-memory storage and parallel execution for breakthrough application speed and scale.

Source: Hazelcast