Big Data is data in such a large volume, having huge velocities, and coming in a variety of forms that it requires special techniques and software to manage them. These are reserved in data sets that normal traditional data management software cannot manage. Some of the main challenges that one normally users face are capturing, sorting, analyzing, sharing and transfer. These large volume data sets are kept in databases and data-warehouses where software are simultaneously running on multiple servers. Sometimes normal relational databases break down in the face of such big data. Following are the most widely used Big Data tools nowadays.
Talend Open Studio is an open-source tool for data integration developed by Talend. It is entirely written in Java and is Licensed by Apache version 2. It was released in 2006 and since then it is widely used as a standard tool for combining data from various business locations. The tool is best used for combining, updating and converting data from multiple sources in a business.
Cassandra is an open-source and free distributed No-SQL database system for managing data in huge amounts. It was developed by Avinash Lakshman & Prashant Malik, released in 2008 and is written in pure Java. This is a product by Apache which is widely known and trusted software development organization. This tool is widely used because of its scalability and high availability while retaining the original performance and commodity of the hardware. Big companies like eBay and Netflix use Cassandra as their standard data managing tool.
— Big Data Newz (@BigData_Newz) December 7, 2017
It is another Big Data management tool by open source Apache foundation. It is also written in Java and was released in 2011. The main highlight of Hadoop is that it uses the MapReduce programming model for Big Data processing. Its main feature is that it processes high data volume sets based on computer clusters. The users of this tool also get regular updates.
Plotly is an online data visualization and analytics tools that can provide statistics, analytics and online graphic representation of a large amount of data. It was developed and is based in Montreal Quebec in 2012. Companies which don’t have enough time for the preparation or skills for meeting needs for a large amount of data use this tool for easy graphic representation.
While there are many Big Data tools available in the market, you must understand the analytical and transactional data processing requirements of your company. After going through deep study and thorough investigation, you must choose the right set of tools which best suits the type of Big Data you are going to manage.