Apache Spark – An Open Source Big Data Tool

The Apache Spark is an open source system for fast and flexible large-scale data analysis. These include interactive exploration of very large datasets, near real-time stream processing, and ad-hoc SQL analytics. It is an extremely fast cluster computing system that can run data in memory. The main advantage of Apache Spark is that it runs 100 times faster than Hadoop Map reduce

Apache Drill – An Open Source Big Data Tool

Apache Drill is an open source software framework that supports data-intensive distributed applications for interactive analysis of large-scale datasets. The main feature of Drill is it is able to scale to 10,000 servers or more and to be able to process petabytes of data and trillions of records in seconds.

D3.js – An Open Source Big Data Tool

D3.js is an open source JavaScript library which allows you to manipulate documents that display Big Data. D3 stands for Data Driven Documents. D3 has been designed to be extremely fast, it supports Big Data datasets, and it has cross-hardware platform capability. D3.js is used to create dynamic graphics using Web standards like HTML5, SVG and CSS.

Apache Storm- An Open Source Big Data Tool

Apache Storm is an open source distributed real-time computation system. Storm makes it easy to reliably process unbounded streams of data, doing for real-time processing. Storm is simple, can be used with any programming language.

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