Language support: The Big Data tool offers support not only for Java but also for other major languages, including Scala, Python and SQL. Cons Despite its many advantages, Apache Spark does have ...

Object-Oriented. Python and Java are both considered to be “object-oriented” programming languages. This means they allow developers to create data objects through classes. While this is a ...

"Java is not built for data science -- most Java applications were built for web servers and large-scale distributed applications," Ravisankar says. "Java is statically typed and strictly follows the ...

“Python is a very easy language to learn for non-programmers,” said Peter Wang, president of Continuum Analytics. That’s important because most big-data analysts will probably not be ...

For the first time in the history of TIOBE's index, Java has slipped out of the top two, leaving Python to occupy the spot behind reigning champion, C.

Although Python excels in one-off, general-purpose tasks, its biggest drawback is speed. It doesn’t match Java in supporting real-time tasks or financial transactions where milliseconds matter.

When it comes to analyzing big data, software packages such as Hadoop or the R statistical language come readily to mind. But at least one company, AppNexus, also relies on the Python programming ...

The demand for job skills related to data processing — NoSQL, Apache Hadoop, Python, and a smattering of other such skills — has hit all-time highs, according to statistics collected by tech ...

"Beyond that, we continue to see big demand for DevOps skills and cloud skills like Azure and Dynamics, and within software Java, React and Python are some of the toughest skills to find," he said ...

“Python is a very easy language to learn for non-programmers,” said Peter Wang, president of Continuum Analytics. That’s important because most big-data analysts will probably not be ...