Apache Hadoop Alternatives & Similar Software for Android
Tableau is a business intelligence software that helps companies visualize and understand their important data easily. The platform allows you to quickly connect, understand, and share data with an efficient, seamless experience from the PC to the smartphone.
With the help of this tool, you can create and publish dashboards and share it with colleagues without the need for programming skills. It is also known as the self-service analytics platform that enables you to look at data and answer questions quickly. You can easily create and publish any professional documents and share them with others without any limitations.
Tableau is savable to use on web-browser and mobile devices. It is quite simple and easy to use, which makes it possible to bring data for analysis with a few simple drags and drop moves. The solution also offers prominent features such as patented technologies, automatic updates, data notifications, share dashboards, filter data, and metadata management, etc. With a fast and user-friendly interface.
More About Apache Hadoop
Apache Hadoop is an open-source data analytics software solution designed for the collection, storage, and analysis of vast amounts of data sets. It is a reliable and highly-scalable computing technology that can process large data sets across servers, thousands of machines, and clusters of computers in a distributed manner.
The architecture of this platform is comprised of core components that include a distributed file system and a programming paradigm and processing component known as Map/Reduce. This distributed file system stores data files across machines by dividing them into large blocks, and after it split the files into blocks, it distributes them across nodes in the cluster of computers or servers.
Apache Hadoop is a significant data technology that means it offers an ecosystem, technology, and framework built to process a great amount of data that makes it better than others. The software also offers core features such as distributed processing of large data sets, eliminates reliance on hardware to deliver high-availability, reliable distributed file systems, and much more.