A lot of discussion among experts in the field of big data analytics is over which of the two data analytics engines, the Hadoop or the Spark, is the better performer when it comes to applications in business. While Hadoop has been around for a long time, Spark is a new data analytics system released just couple of months ago. Both systems have been developed by apache, with both systems being an open source platform. Both Hadoop and Spark have their own plus points with regard to performance. There are some applications in which Hadoop scores above Spark, but Sparks ease of use and speed of operations is way ahead of Hadoop.
In the book Hadoop: The definitive guide, Tom white quotes Grace Hopper, "In pioneer days they used oxen for heavy pulling, and when one ox couldn't budge a log, they didn't try to grow a larger ox. We shouldn't be trying for bigger computers, but for more systems of computers." For long Hadoop has been the data analytics system preferred by businesses all over. The recent entry of the spark engine has however given businesses an option other than Hadoop for data analytics purposes. A lot of discussion among experts in the field of big data analytics is over which of the two data analytics engines, the Hadoop or the Spark, is the better performer when it comes to applications in business.
I just googled Hadoop vs. Spark and got nearly 35 million results. That's because Hadoop and Spark are two of the most prominent distributed systems for processing data on the market today. It's a hot subject that organizations are interested in when addressing their big data analytics. Choosing the Right Big Data Software; Which is the best Big Data Framework?; How Do Hadoop and Spark Stack Up?
The term Big Data has created a lot of hype already in the business world. Hadoop and Spark are both Big Data frameworks – they provide some of the most popular tools used to carry out common Big Data-related tasks. In this blog, we will cover what is the difference between Spark and Hadoop MapReduce.
If somebody mentions Hadoop and Spark together, they usually contrast these two popular big data frameworks. According to Ahrefs, 1,200 Google visitors are searching for Spark vs. Hadoop each month, while only 90 are inquiring about Spark and Hadoop. It looks like the frameworks have gradually gained a reputation of being mutually exclusive. But this is not always the case. There are multiple ways for businesses to benefit from their synergy. Let's take a closer look at Hadoop and Spark and discover scenarios where they can work together.