Words cannot suffice the importance of data and the need to transform it into a form that aids in improved decision-making. Transforming raw data into a form that helps the management to make better decisions is not a tough task to accomplish when you have the right data analytics tools in place. This is why relying on good data analytics tools is critical. On that note, have a look at the top 10 big analytics tools for professionals in 2022.
Apache Hadoop
Hadoop is considered to be one of the best tools to handle huge data. It is written in Java and is an open-source framework. Right from plain text, images to videos, Hadoop stands the potential to hold it all. It is highly scalable and finds immense application in the field of R&D.
Xplenty
Xplenty is known for integrating and processing data for analytics on the cloud. It boasts of an intuitive graphic interface and a cloud platform that is highly scalable and elastic. This data analytics tool doesn’t invest in hardware, software, or related personnel to transform raw data. Xplenty is extensively used in the field of marketing, sales, support, and developers.
Apache Cassandra
Big tech giants like Facebook, Accenture, Yahoo, etc. rely on Cassandra. This is an open-source framework that is known for managing huge data volume in the least possible time. Two features that make Cassandra stand apart from the rest are linear scalability and the fact that this data analytic tool is free.
Python
Right from data cleaning, data modelling, data reporting to building analysis algorithms, Python has got you covered. Python is a relatively easy tool to work on. I addition to being user-friendly, Python is known for its portability. There are numerous operating systems that Python supports and one can work on them without making any changes to the system.
QlikView
QlikView has gained recognition as one of the most reliable data visualization and data analytics tools. This tool focuses on data integration, data literacy and data analytics in order to make the best of data. QlikView is trusted by thousands of companies worldwide. This data analytics tool comes up with innovative advancements every now and then.
Konstanz Information Miner (KNIME)
KNIME is a free and open-source data analytics tool that does everything from cleaning and gathering data to making it accessible to everyone. KNIME is known in the market for the deployment of Data Science workflows. One of the best features of this data analytics tool is that you need not have prior programming knowledge to derive insights.
ThoughtSpot
ThoughtSpot is one of those data analytics tools that offer next-generation search. This tool is home to a wide range of compelling features, especially on the AI-based recommendation systems front. Additionally, this feature stands the potential to leverage crowd-sourcing as well.
MongoDB
MongoDB is a free and open-source data analytics tool that is known to provide support for multiple technologies and platforms. It also supports multiple operating systems including Windows Vista and Linux. Also, MongoDB is easy to learn, reliable and economical – all at the same time.
Trifacta
When it comes to data wrangling, Trifacta is one of the most sought-after data analytics tools. The features are such that it can be used by individuals, teams, and organizations. Trifacta does everything from cleaning to transforming data.
Alteryx
Alteryx is that one tool that companies can use to discover and analyze the data. Not just that – this data analytics tool helps in finding deeper insights by deploying and sharing the analytics at scale. With Alteryx in place, one can centrally manage users, workflows, data assets, etc. into the processes.
Source: analyticsinsight.net
