Companies need a data-processing solution that increases the speed of business agility, not one that is complicated by too many technology requirements. This requires a system that delivers continuous/real-time data-processing capabilities for the new business reality.
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing?
In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.
Setting up servers and configuring software can get in the way of the problems you are trying to solve. With Hazelcast Cloud we take all of those pain points away.
Watch this webinar to learn how you can instantly fire up and then work with Hazelcast Cloud from anywhere in the world. With our auto-generated client stubs for Java, Go, Node.js, Python and .NET, we can have you connected and coding in less than a minute!
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Airbus Defence and Space is a division of Airbus responsible for defense and aerospace products and services. One of the exciting space projects that the division works on is the sounding rocket program TEXUS for microgravity research.
With a swipe of a credit card, this Tier 1 US provider is on the clock to render a decision. Since most of the SLA is consumed in transit, the provider typically has one second to match the account info, check available balance, and determine if it could be a fraudulent charge. To “buy more time,” this provider deployed Hazelcast in-memory technologies to add fraud detection algorithms and still meet its SLAs.
Encompass®, the mortgage industry’s premier end-to-end automation software from Ellie Mae, was suffering from performance and scalability issues. Hazelcast IMDG enabled Ellie Mae to consistently hit its SLAs by shrinking response times to under 2 milliseconds while delivering more than 45,000 transactions per second.
One of the largest providers of internet, voice, and media handles more than 1 million customer interactions per day. To improve customer service, the company wanted to feed a proprietary support platform that leverages artificial intelligence (AI) and machine learning (ML) technologies. Whether a human or chatbot, near real-time access to information, is critical - and this is where Hazelcast comes into the picture.
The world’s #2 pizza chain operates more than 12,000 stores across 82 countries, which comes with many challenges. Hazelcast was originally deployed as a replacement for a legacy tool that was struggling to meet performance requirements. Fast forward to today and Hazelcast is embedded within 15 of the company’s microservices with millions of in-memory objects.
A drilling rig is one of the most recognizable symbols of the energy industry and the slightest failure onboard could have catastrophic results. To mitigate this risk, SigmaStream gathers, monitors and analyzes real-time, high-frequency data to automatically adjust the drilling process to prevent these failures. SigmaSteam tapped Hazelcast Jet to help it process numerous, high-frequency data sources in real-time.
Gamesys and its 1,000+ employees are on a mission to become the world’s most entertaining online gaming company. The award-winning firm was developing a highly-scalable poker platform that would be used for real-money gaming, as well as on social platforms. To solve a number of challenges and deliver an excellent gaming experience, Gamesys paired Hazelcast and a NoSQL database for a high-performance and resilient solution.
At 200-years-old, British Gas is one of the largest providers of energy to homes and businesses in the UK. Serving 200,000 homes, British Gas and its partner, Hive, we're preparing to launch the country’s largest IoT network, but were routinely running into performance challenges with legacy technologies. By deploying Hazelcast, British Gas and Hive stood up a system serving more than 15,000 messages/second.
Revenue Ireland is the Irish Government agency responsible for customs, excise, taxation, and related matters. The Revenue Commissioners carry out the functions that the Commissioners of Inland Revenue and the Commissioners of Customs and Excise had carried out in the Free State prior to independence.The Revenue Commissioners are responsible to the Minister for Finance, and represent 6,000 employees in total.
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