Apache spark: Apache Spark is a quick tool for data manipulation. Its primary characteristic is memory cluster computing, which accelerates the processing speed of the application. Batch applications, iterative algorithms, collaborative queries, and streaming are just a few of the operating costs that come with Spark. Along with handling all of this workload in one system, less management work is required to provide separate resources.

SAS: Statistical Analysis System, or SAS, is a business intelligence and analytics solution provider. SAS Institute created the. the instrument used most frequently in data manipulation. Because it has a comprehensive set of machine learning (cleaning, transformation, pre-processing, and filtering) algorithms and functions, it allows users to create and deliver predictive analysis. Strongly enabled visualizations like self-organizing maps, scatter metrics, and three-dimensional graphs are available. It has a flexible file operator for data input and output file formats and uses XML to describe tree modeling.

QlikView: QlikView is a platform for data manipulation that offers self-service business intelligence to all corporate users. It offers a powerful search function for the entire data set, whether the data are directly or indirectly accessible. It stored data using the in-memory model. It gives you the freedom to pose and respond to your own questions, explore your own routes to understanding, and collaborate with others to reach decisions. The heart of QlikView is our patented software engine, which creates fresh flying data. Information is compressed and kept in memory so that it can be quickly searched by many users.