Top 10 Data Analytic Tools

Top 10 Data Analytic Tools

In the context of the data, this age is crucial. We produce zettabytes of data every day, making data one such crucial concept. using a variety of gestures, postures, conversation, and many other techniques. In the modern period, roughly 2.5 quintillion bytes of data are collected each day. Data is critical to our lives and assists in many important business choices.

This generated data must be filtered and transformed into a very useful form that one should be able to understand and utilize for proper planning. It is currently in raw or semi-sorted form.

The task of transforming raw data into usable form and extracting insights from that information is carried out by specialists known as data analysts. For data to be streamlined into a form that is meaningful, a data analyst needs a variety of tools. These tools make it very easy to gather information insights. You can learn about these tools when you enroll in a reputed Data Analytics certification course.

In this article, we are coming up with some best tools used by Data Analysts for accurate data insights. Check them out of the given list below:

  • R and Python 
  • Tableau 
  • KNIME 
  • RapidMiner 
  • Talend 
  • Power BI 
  • Splunk 
  • Apache Spark 
  • Microsoft Excel 
  • Qlikview 

Lets dive into the depths and insight concept of these tools listed in our list. Starting with the first, i.e, R and Python. 

Programming languages: R and Python

The programming languages play a huge part while discussing data analysis because the codes are mentioned in these languages. While Python is a high-level interpreted language with dynamic semantics and simple syntax, R is an open-source language that is analytical and statistical. Both of them are readily available for free download from their respective official websites. R is used by organizations like Google, Firefox, ANZ, and Python is used by Netflix, YouTube, and Facebook. Both languages are working to advance their features and functionalities in order to increase efficiency and precision.


One of the most widely used business intelligence tools for data visualization and analysis is Tableau. For the 18th year in a row, it is recognized as the leader of the Gardner Magic Quadrant 2020. Work on a live data set is facilitated by Tableau. You can use this tool to devote more time to data analysis than to data wrangling. Tableau Desktop, Tableau Server, Tableau Online, Tableau Public, and Tableau Reader are just a few of the diverse products that make up the Tableau family.

Tableau Public, one of the other members of the Tableau family, is offered without charge for data visualizations. This program is used by multinational corporations like Audi, Skype, Citibank, and others to provide informational insights. Tableau is continuously improving in terms of Smart Dashboards, quick analytics, usability, automatic updating, and exploration of data. It also facilitates you by publishing any dashboard and sharing it live on the web and on smartphones. 


KNIME, also known as Konstanz Information Miner, is a free integrated platform for analytics with a GUI-style workflow that is used in data analytics. KNIME sells two different kinds of products: the KNIME Analytics Platform and the KNIME Server. Leading businesses, including Siemens, Deutsche Telekom, and Novartis Continental use this application to collect informational insights. It only requires that you apply and filter useful data; prior programming experience is not necessary.


One such tool for developing machine learning project models, processing data, and deploying is RapidMiner. In the 2020 Gartner Magic Quadrant for Machine Learning Platform and Data Science, it is positioned as a Visionary. The products are Studio, GO, Server, Real-Time Scoring, and Radoop. According to their characteristics and price range, all the products described above come in several sub-versions. Companies like Packard Enterprise, BMW, EZcater, Sanofi, and others use RapidMiner. RapidMiner just released RapidMiner 9.6, expanding the platform for BI USERS and full-time programmers.


One of the most effective and well-liked data integration and ETL products on the market is Talend. In Gardner’s Magic Quadrant for Data Integration Tools, it is positioned as the Leader. This solution makes it very simple to manage each step of the ETL process while also offering a compliant and hygienic environment for everyone. Talend Open Source, Stitch Data Loader, Talend Pipeline Designer, Talend Cloud Data Integration, and Talend Data Fabric are all members of the Talend family. Some of them are completely free, a select handful are free for a 14-day trial, and the remainder requires a license. AstraZeneca, ALDO, and Euronext are a few recent examples of international corporations that leverage Talent for important decision-making.


Business analytics is performed using PowerBI. For the thirteenth time in a row, it is positioned as the leader in the Gartner 2020 Magic Quadrant. It allows you the ability to generate dashboards and reports independently after giving you access to interactive visualizations. PowerBI Desktop, PowerBI Pro, PowerBI Premium, PowerBI Mobile, PowerBI Embedded, and PowerBI Report Server are listed among the company’s products. Some are completely free, while others offer free trials before requiring licensed versions. MNO like GE Healthcare, Heathrow, Workdsmart, and Adobe use PowerBI to get the desired insight from their data. Data analysis is greatly aided by advanced versions like Azure + PowerBI and Office 365 + PowerBI.


One such platform that aids in searching, visualizing, and analyzing the information produced by machines is called Spunk. Its solutions have advanced across a variety of industries, including IT, DevOps, Security, and Analytics. Its family includes Splunk Free, Splunk Enterprise, and Splunk Cloud. They are all different in terms of the range of features they offer and have a brief free trial period. Many reputable businesses, including Domino’s, Lenovo, Otto Group, Intel, etc., use Splunk to correlate their data.

Apache Spark 

Having a cluster computing foundation and being utilized for real-time processing, Apache Spark is one of the most well-liked and successful projects in the Apache Software Foundation. New versions of Apache Spark are released with improved new features. 2.4.5 is the most recent version, while 3.0.0 is in preview. Apache Spark is used by organizations including Hortonworks, Verizon, Oracle, and Visa for real-time computing. It can run standalone, in the cloud, or on Kubernetes, Hadoop, or Apache Mesos. High-level APIs in Java, Python, R, and Scala are available.

Microsoft Excel

In the 1990s, Microsoft Excel was the most widely used data analysis tool. It offers users tools like the ability to directly add any image, piece of material, or workbook on the most recent edition and share your workbooks with others to interact in real-time. Its goods are accessible in three categories: For Home, For Business, and For Enterprise. A few versions are free for one month, while the other versions vary based on the features they provide and the payment alternatives. Microsoft Excel is used daily by almost all organizations to gather useful data and get insights. IKEA, McDonald’s, Marriott, Google, etc. are a few examples.


Qlikview is a technology for data analytics, business intelligence, and self-service data visualization. Its primary goal is to accelerate the value of your organization through data integration, data literacy, and data analytics. The range of Qlikview products also includes the Developers Platform, Data Integration, and Data Analysis tools. For 30 days, there is a free trial period available. About 50,000 individuals rely on it, and organizations like SAMSUNG, CISCO, the NHS, and KitchenAid use it. It has introduced Qlik Alerting for Qlik Sense®, an intelligent alerting platform that helps to produce real-time information more accurately. You are able to complete Qlikview certification courses.

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