Nowadays, with the help of data analysis, it is much easier to make appropriate decisions in business life, thus our company can gain much more profit and become much more successful. There are already many types of tools available for data analysis, some of which are paid, and some are free and open source. This article presents the best open-source data analysis tools.
Grafana is a data analysis tool that allows you to follow the evolution of metrics based on the underlying database in real time. We can also receive notifications from the program in real time if there has been a major change in our metrics. The tool can also be used for monitoring systems, running analyses, and retrieving data. Visualization and understanding of analyses are made easier by Dashboards, which also support geomaps, heatmaps, charts and histograms. Grafana has Cloud support and can be installed on practically any platform.
Redash is also a popular open-source data analysis tool that makes it easy to connect to virtually any data source. It supports the creation of Dashboards just like Grafana. The data can be visualized using tables, maps, and diagrams. In addition, it is also possible to customize who can access the data. Dashboards are very easy to share with others via a URL. Redash is a free tool, however a hosted version is also available relatively cheaply.
KNIME Analytics was created in 2006, and since then it has been quite popular among open-source tools. One of the main secrets of its success is that it is user-friendly and can be used to create different Dashboards using the drag & drop method. In addition, a big advantage is that you can easily retrieve data from AWS, Salesforce, and Azure. After retrieving the data, the analysis carried out by us can be easily displayed using various visualization tools. A big advantage compared to the previous two programs is that it also supports machine learning methods. This tool is especially good for those who want to work in data analytics without strong programming skills.
RapidMiner is a cloud-based data analysis tool that allows you to easily create a complete analysis platform. The program also contains a lot of automation options that make work easier. RapkidMiner can be used to analyse more than 40 types of data, including structured and unstructured data. Among its main advantages is that it offers a completely code-free user interface, making it particularly user-friendly. Even though no programming knowledge is required, the program still allows the use of artificial intelligence and other sophisticated data analysis methods.
RStudio is an open-source data analysis tool that is also an integrated development environment for the R code language. This program makes it easy to create interactive reports, documents, and web applications. RStudio uses in-memory processing, so it’s easy to process large amounts of data relatively quickly. The free version supports API connection, analysis, and visualization of the results. And the final product can be easily published in a browser or even as a stand-alone application.
Apache Glow is a fully open-source analysis engine that can be used independently but can also be easily integrated into existing workflows. With the program, data can be processed and organized in real time. After organizing, the data can be easily analysed and visualized. Apache Glow supports several programming languages such as R, Java, Python, Scala, and SQL. In addition, it also contains solutions related to artificial intelligence, and with the help of the built-in GraphX, you can easily generate graphs.
Source: https://techlike.net/hu/a-6-legjobb-nyilt-forraskodu-adatelemzo-eszkoz-2021-ben