In the complex world of AI solutions, innovation is constant. As software rapidly evolves, so do programming languages. However, the newest ways aren't always the best ways. And trusted methods are usually trusted for good reason.
Java, for example, unmistakably falls into this category. Launched way back in 1995, it's been a cornerstone of enterprise AI software ever since. After what some called a plateau, Java is now surging back to claim the top spot in enterprise development.
"Java's performance continues to impress all these years later. It has shown a remarkable ability to adapt to a rapidly changing landscape. It's a language that would be difficult to bet against."
— Stephen O'Grady, RedMonk Analyst
Any programming language heavily utilized by global giants like Google is a force to be reckoned with. Over 3 billion devices currently run Java programs. Most Android phones still use Java for AI solutions, despite the increasing availability of alternatives like Kotlin.
Renowned Apps That Rely on Java
Twitter (X)
Processes over 400 million tweets per day. Java became the backbone after initial performance issues plagued the platform.
Netflix
Handles over 2 billion content requests daily. Java powers everything from user identification to recommendation algorithms.
Other heavyweight corporations relying on Java for their AI solutions include LinkedIn, Uber, Spotify, and Amazon. The proof is in the pudding—even the most hardcore fans of alternative languages cannot overlook numbers like these.
6 Factors That Make Java Ideal for AI Solutions
Simplicity
Java is known for its ease of use. Although simplicity and efficiency don't always go hand in hand, that's not the case here. Take C++, for example—widely regarded as a language that can do anything, but it's harder to learn and often unnecessary. Java is typically more than sufficient and, despite its apparent simplicity, can be even more effective.
Rich API
Java developers benefit from a rich API capable of accomplishing a lot. While other languages require you to download additional features separately (time-consuming), Java includes these as part of the main installation itself. This collective efficiency elevates Java above its rivals.
Community Support
Unlike some languages, Java has a community support network that exceeds expectations. Countless Stack Overflow answers, dedicated forums, and endless resources are ready to help. When you encounter problems, solutions are almost always a search away.
Portability
This is arguably Java's most attractive aspect. "Write once, run anywhere." The transfer of a program from one operating system to another is easily achieved with Java and requires very little rework. This has undeniably been key to its success over the years.
Security
While no programming language is completely free of security risks, Java has protective features. Its security management allows users to specify exact access rules for each application. Java can run in "sandbox" mode to eliminate potential harm. Furthermore, Java's lack of pointers (objects that can cause unauthorized memory access) makes it safer than alternatives.
Maintainability
Maintainability is an important yet often overlooked attribute. Maintaining source code is crucial for long-term efficiency. Java's structured approach results in a highly effective end product that can be updated and improved over time.
Things to Keep in Mind
When Java Might NOT Be the Best Choice
- • If you're building research-focused ML models, Python's ecosystem (TensorFlow, PyTorch) is more mature.
- • For quick prototypes, Python's shorter syntax may speed up initial development.
- • If your team is already experienced in another language, switching may not be worth the overhead.
Being a Java developer offers additional benefits: free tutorials, built-in garbage collection, easy debugging, and more. If you're a startup owner with little or no experience in AI solutions, Java is often the safest language to start with. And when you're ready to build a dedicated dev team, Java expertise is relatively easy to find.
Frequently Asked Questions
Is Java or Python better for AI development?
Python is often preferred for research and prototyping due to its extensive ML libraries. However, Java excels in production environments where scalability, speed, and maintainability are critical. Many companies use Python for model development, then deploy in Java for enterprise performance.
What AI libraries are available for Java?
Java has robust AI libraries including Deeplearning4j (deep learning), Weka (machine learning), Apache OpenNLP (natural language processing), and Java-ML (machine learning algorithms). For neural networks, DL4J is particularly powerful and supports GPU acceleration.
How do I hire a Java developer for AI projects?
Look for developers with experience in both core Java and AI/ML frameworks like Deeplearning4j or Weka. Platforms like Boundev pre-vet developers for hard skills and soft skills, matching you with candidates who have the exact tech stack you need for AI projects.
Ready to Build Your AI Solution?
If Java is the way to go for your AI-powered software, Boundev can match you with a vetted Java developer who has the exact tech stack you need. Drop us a line and we'll start looking for that expert your business needs.
Hire Java AI Developers
Get matched with vetted Java experts experienced in AI, machine learning, and enterprise-scale applications.
Find Java Developers