The web development scenario has seen massive changes in the recent years, with technologies like Data Science, Artificial Intelligence, and Machine Learning coming to the forefront. Countless organizations, big and small, are looking to invest in powerful data-driven applications to keep pace with the trend. Till date, R and Python have come ahead as the best languages for creating such applications, but these are definitely not the only ones that win the race. Currently, Java web development is poised to explore new territories as it is emerging as a great choice for these projects. Here are just 10 reasons that make it ideal for data-driven applications:

(1) Established language: Java is amongst the established languages that have been used for enterprise development for years. A large number of organizations already have an infrastructure based on this language and they can take it ahead for data-driven applications.

(2) Powerful Toolset: Java comes with a powerful toolset, with some amazing tools for Machine Learning and Data Science.  Java-ML, Weka, MLlib, and Deeplearning4j are some tools that are ideal for solving a majority of ML or data science problems.

(3) Extensiveness: A majority of  Big Data frameworks such as Spark, Hive, Hadoop, and Flink are written in Java. Therefore, most of the Java developers will be comfortable working with these frameworks.

(4) Java Virtual Machine: The JVM is an amazing platform that enables you to write code which is identical on multiple platforms. As such, it empowers developers to build custom tools quickly.

(5) JVM has Scala: Scala is a powerful programming language that runs on the JVM. It provides extensive support for data science and Big Data frameworks such as Spark are built on top of this language.

(6) Lambdas and REPL: Java 8 and 9 versions bring Lambdas and REPL respectively, which facilitate the development of large data-driven projects for enterprises.

(7) Java is Strongly Typed: Java extends the strong typing feature which makes it ideal for large applications. It ensures that the developers explicitly know the types of data and variables they are dealing with. This makes it easier for them to maintain the code base of the applications.

(8) Speed: Java's speed is another reason that makes it right for such applications as speed is critical when it comes to building such large-scale applications. Brands such as Facebook, LinkedIn, and Twitter rely on this language for data engineering efforts.

(9) Scalability: Being a highly scalable programming language, Java turns up as an excellent option for data scientists who are involved in creating large and complex data-driven applications.

Conclusion
Building applications with complex technologies such as AI and machine language is easier said than done. Enterprises that want to invest in them need to avail expert Java application development services to handle such complexities. Skilled data engineers can effectively harness the powerful features of the language to create high-tech data-driven apps that add value to enterprises. Orange Mantra is a leading web development company in Delhi NCR that brings high-performance, robust, and scalable business applications to match the requirements of the clients.