Azul Intelligence Cloud The Powerful Analytics Solution That Boosts DevOps Efficiency with Insights from Production Java Runtime Data from Any JVM  

Java for Financial Services

All the world’s top 10 trading companies & 6 of the top 10 U.S. financial firms have switched to Azul.


Automated Trading

Deploy microsecond Java trading software and better trading strategy development, back-testing, and analytics.


Risk Management

Add resilience and lower infrastructure costs in risk data warehouses, analytics, reporting, and decision-making.


Payment Processing

Conduct thousands of payment transactions per second.


Retail Banking

Secure and improve banking efficiency and productivity in Java platforms to maximize customer satisfaction and eliminate downtime.


Wealth Management

Deploy secure, performant client dashboards, data warehousing, portfolio analytics, and robo-advice platforms.


Fraud Detection

Deliver immediate Know Your Customer (KYC) and fraud detection decisions using Java-based pattern matching, natural language processing, machine learning, and big data queries.


Insurance & Reinsurance

Secure and lower costs for brokerage, risk-based pricing, reporting, data management and client management dashboards. Also deploy Java onto embedded telematics solutions.


FinTech Providers

Provide IP-protected ISV and device solutions to demanding financial services organizations.

3 Competitive Advantages in Electronic Trading

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3 Competitive Advantages in Electronic Trading

Electronic traders operate in a brutally competitive, winner-take-all environment where every advantage matters, including the trading application, algorithm, and technology infrastructure.

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“Now, our engineering team is able to ignore performance maintenance and spend all their time building features.”

Brett Vasconcellos, CTO, BIDS Trading

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.