This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies.
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.
Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Can't attend the live times? You should still register! We'll be sending out the recording after the webinar to all registrants.
Leading companies worldwide choose Hazelcast.
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With around 12 million insured vehicles, HUK-COBURG is the largest car insurer in Germany, with over 10,000 employees, 12.36 million customers, 660 customer service offices, and 38 branch offices. In addition to auto insurance, the company offers legal protection insurance, life, pension, accident, occupational disability, private health, house/residential building, and liability insurance.
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.
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