- Home
- Data Analytics Software
Data Analytics Software Reviews
Data management, data integration and analytics database solutions designed to deliver significantly better performance than the competition.
A simple and easy-to-use data analysis software for non-statistician researchers.
A data science and visualization application that is easy-to-use for novices but powerful for data specialists.
An intuitive, powerful, and complete data analysis and statistical software solution designed and developed for researchers from different disciplines; enabling them to take advantage of its intuitive point-and-click graphical user interface, comprehensive statistical tools, command line features, complete data management capabilities, and publication-quality graphs.
An easy-to-use, lightning-fast, and unified analytics software solution developed to handle computational processes and tasks on high volumes of data, process SQL queries for structured data, streamline the creation of scalable and fault-tolerant applications that execute live stream data processing, and implement graph analytics and computation in a flexible and fast manner.
A reliable, scalable, and open source software library and distributed computing framework developed for research and production-related activities; permitting users to process large amounts of data sets for data analysis, execute distributed parallel computing operations and tasks across clusters of servers and machines, and ensure the high performance and availability of applications that are running in Hadoop clusters.
An integrated suite of business analytics tools that help drive organizational growth.
A fast and interactive business and data intelligence solution which assists businesses, organizations, and departments in collecting data from multiple disparate sources, harmonizing data for faster analysis, and gaining and exploring business insights.
An agile, web-based analytics platform that embeds intelligence at the core of user applications.
A programming, modeling and simulation platform that merges a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. With this, you can edit analyses to run on clusters, GPUs, and cloud without overhauling codes. And because of its flexibility, you can do away with big data programming.
