Top Big Data analytical tools
Data analytics refers to collecting data and then analyzing it to extract crucial insights/ information. This extracted data can be used by businesses or organizations for various purposes to resolve their problems and achieve their objectives.
Big data, on the other hand, refers to a large number of data sets that is too complex to be analyzed by traditional methods. These data sets are still in the growing stage. You need to use specialized tools for these kinds of data, and such data is capable of giving you very detailed information about specific things, which can be favorable for your business.
Following are a few of the best Big data software:
Apache Hadoop — This is a tool that stores and processes a large number of complex data sets. It spreads data sets throughout a computer cluster and breaks them down into smaller data sets that can be run parallel to each other.
Hadoop’s primary advantage is its flexibility to store data in any format. It allows users to access new types of data sources and use different types of data.
Mango DB — Mango DB is document-based NoSQL software used for storing big data, unlike traditional modes of storage such as tables or rows, this tool uses collection and documents to store data.
This application can run over multiple servers and supplicates data to prevent any data loss in case of system or hardware failure.
Altamira Lumify — It is a complex big data tool that helps in analysis and visualization which enables you to get a better understanding of the relationship/ connection between data.
This tool enables the user to view their data in both 2d and 3d visualization, apart from this they also get powerful data visualization which allows them to make more presentable and data easy to understand.
Apache spark — This application is considered to be one of the most robust big data software due to its ability to quickly compute and process large volumes of data. It currently holds the record for large-scale on-disk sorting.
This tool can be 100 times faster than Hadoop when processing large-scale data, and it is also able to distribute data across multiple computers.
Apache Hive — Hive is a big data analytics tool that allows you to view analytics on a massive scale. It is integrated with Hadoop a data storage platform. It provides information, which can be analyzed to make informed and smart data-driven decisions.
It allows users to read and write data using SQL. The primary advantage of this tool is that it offers a familiar interface to non-technical users who can use SQL.
These were a few of the best big data analytical tools. You can decide and find the one that suits you the best based on your business’s needs.
Big data analytics can be a challenging task to be handled by non-experienced users as it consists of complex data sets, and you may need to take help from professional data consultants.
Cymetrix can help you with such projects. Our team is used to working in a competitive market and can develop effective solutions for our client’s problems. We have served various clients to help them achieve their goals with our data consultancy. To get more details, you can visit our website and get in touch with us.
