Deploy microsecond Java trading software and better trading strategy development, back-testing, and analytics.
For banking, capital markets, and insurance applications that require responsiveness, speed, security, and resilience, Azul delivers unbeatable JDKs and runtimes.
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Azul has incredible momentum in financial services.
The world’s top banks (including investment banks, retail banks, commercial banks, and private banks), buy-side firms (hedge funds, asset managers, boutique traders), exchanges, payments companies, and brokerage software platforms are switching to Azul to improve performance and reduce costs.
How much can your institution save?
Forrester recently conducted a Total Economic Impact™ study to learn how much customers typically reduce their infrastructure costs with Azul Platform Prime. The answer: as much as 50%, with payback in under 3 months and 224% ROI overall.
High Stakes of High-Frequency Trading.
Learn from an industry veteran how to get the required performance to survive in the world of High-Frequency Trading, where automated applications process hundreds of millions of market signals every day and send thousands of orders to various exchanges around the globe where reaction times must consistently remain in microseconds…
Secure, faster payment processing.
Learn how to bolster security of point-of-sale devices, detect fraud at high speed, and assure compliance with PCI-DSS standards with Azul.
Java 6 and 7 for financial services.
Financial Services firms frequently run Java 6 and 7-based “category zero” applications. Since Oracle last patched Java 6, Azul has backported 40+ vulnerabilities to Java 6.
Switch to Azul and meet cybersecurity, operational resilience, operational risk, and regulatory requirements and avoid costs and disruption of moving off Java 6 and 7.
Go for a deeper dive yet into Azul’s role in financial services with this mix of webinars, articles, white papers, technology briefs, press releases, and data sheets.
Azul powers the modern cloud enterprise.
Azul delivers the turbocharged performance you need to handle the scale of Java-based big data while actually reducing your infrastructure requirements.