Top 10 Data Analytics Tools in 2021
The word ‘Data’ has been in existence for ages now. In the era of 2.5 Quintillion bytes of data being generated every day, data plays a crucial role in decision making for business operations. But how do you think we can deal with so much data? Well, there are several roles in the industry today that deal with data to gather insights, and one such vital role is of a Data Analyst. A Data Analyst requires many tools to gather insights from data. This article on the Top 10 Data Analytics Tools will talk about the top tools that every budding Data Analyst to a skilled professional must learn in 2020.
In this article, we will cover the following Data Analytics Tools:
- R and Python
- Microsoft Excel
- Tableau
- RapidMiner
- KNIME
- Power BI
- Apache Spark
- QlikView
- Talend
- Splunk
Let’s dive into this article from the 10th tool on our list i.e Splunk.
Splunk
Splunk is a platform used to search, analyze, and visualize the machine-generated data gathered from the applications, websites, etc. Being named by Gartner as a Visionary in the 2020 Magic Quadrant for APM, Splunk has evolved products in various fields such as IT, Security, DevOps, Analytics.
Products
- Splunk Free
- Splunk Enterprise
- Splunk Cloud
All these 3 products differ by the bandwidth of the features they offer and are available for free download and trial versions. The pricing options for Splunk products are based on predictive pricing, Infrastructure-based pricing, and also rapid adoption packages.
Companies using
Trusted by 92 out of the Fortune 100, companies such as Dominos, Otto Group, Intel, Lenovo are using Splunk in their day to day practices to discover the processes and correlate data in real-time.
Recent Advancements/ Features
Since almost all the organizations need to deal with data across various divisions, according to Splunk official website Splunk aims to bring data to every part of your organization, by helping teams use Splunk to prevent and predict problems with monitoring experience, detect and diagnose issues with clear visibility, explore and visualize business processes and streamline the entire security stack.
Talend
Talend is one of the most powerful data integration ETL tools available in the market and is developed in the Eclipse graphical development environment. Being named as a Leader in Gartner’s Magic Quadrant for Data Integration Tools and Data Quality tools 2019, this tool lets you easily manage all the steps involved in the ETL process and aims to deliver compliant, accessible and clean data for everyone.
Products
Talend comes with the following five products:
- Talend Open Source
- Stitch Data Loader
- Talend Pipeline Designer
- Talend Cloud Data Integration
- Talend Data Fabric
Out of these, few are completely free, few are free for 14 days and few are licensed. All these products differ in their functionalities and pricing options.
Companies using
Small startups to multinational companies such as ALDO, ABInBev, EuroNext, AstraZeneca are using Talend to make critical decisions.
Recent Advancements/ Features
Talend is the only platform that delivers complete and clean data at the moment you need it by maintaining data quality, providing Big Data integration, cloud API services, Preparing Data, and providing Data Catalog and Stitch Data Loader.
Recently Talend has also accelerated the journey to the lakehouse paradigm and the path to reveal intelligence in data. Not only this but the Talend Cloud is now available in Microsoft Azure Marketplace.
QlikView
QlikView is a Self-Service Business Intelligence, Data Visualization, and Data Analytics tool. Being named a leader in Gartner Magic Quadrant 2020 for Analytics and BI platforms, it aims to accelerate business value through data by providing features such as Data Integration, Data Literacy, and Data Analytics.
Products
QlikView comes with a variety of products and services for Data Integration, Data Analytics, and Developer platforms, out of which few are available for a free trial period of 30 days.
Companies using
Trusted by more than 50,000 customers worldwide few of the top customers of QlikView are CISCO, NHS, KitchenAid, SAMSUNG.
Recent Advancements/ Features
Recently QlikView has launched an intelligent alerting platform Qlik Alerting for Qlik Sense® which helps the organizations handle the exceptions, notify users of potential issues, help users analyze further, and also prompts actions based on the derived insights.
Apache Spark
Apache Spark is one of the most successful projects in the Apache Software Foundation and is a cluster computing framework that is open-source and is used for real-time processing. Being the most active Apache project at the moment, it comes with a fantastic open-source community and an interface for programming. This interface makes sure of fault tolerance and implicit data parallelism.
Products
Apache Spark keeps on releasing new releases with new features. You can also choose the various package types for Spark. The recent version is 2.4.5 and 3.0.0 is in preview.
Companies using
Companies such as Oracle, Hortonworks, Verizon, Visa use Apache Spark for real-time computation of data with ease of use and speed.
Recent Advancements/ Features
- In today’s world Spark runs on Kubernetes, Apache Mesos, standalone, Hadoop, or in the cloud.
- It provides high-level APIs in Java, Scala, Python, and R, and Spark code can be written in any of these four languages.
- Spark’s MLlib — the Machine Learning component is handy when it comes to Big Data processing.
Power BI
Power BI is a Microsoft product used for business analytics. Named as a leader for the 13th consecutive year in the Gartner 2020 Magic Quadrant, it provides interactive visualizations with self-service business intelligence capabilities, where end users can create dashboards and reports by themselves, without having to depend on anybody.
Products
Power BI provides the following products:
- Power BI Desktop
- Power BI Pro
- Power BI Premium
- Power BI Mobile
- Power BI Embedded
- Power BI Report Server
All these products differ by the functionalities offered by them. Few of them are free for a certain period of time and then you have to take the licensed versions
Companies using
Multinational organizations such as Adobe, Heathrow, Worldsmart, GE Healthcare are using Power BI to achieve powerful results from their data.
Recent Advancements/ Features
Power BI has recently come up with solutions such as Azure + Power BI and Office 365 + Power BI to help the users analyze the data, connect the data and protect the data across various Office platforms.
KNIME
Konstanz Information Miner or most commonly known as KNIME is free and an open-source data analytics, reporting, and integration platform built for analytics on a GUI based workflow.
Products
KNIME provides the following two software:
- KNIME Analytics Platform — Is an open-source and used to clean & gather data, make reusable components accessible to everyone, and create Data Science workflows.
- KNIME Server — Is a platform used by enterprises for the deployment of Data Science workflows, team collaboration, management, and automation.
Companies using
Companies such as Siemens, Novartis, Deutsche Telekom, Continental use KNime to make sense of their data and leverage meaningful insights.
Recent Advancements/ Features
You do not need prior programming knowledge to use KNIME and derive insights. You can work all the way from gathering data and creating models to deployment and production.
RapidMiner
RapidMiner is the next tool on our list. Being named a Visionary in 2020 Gartner Magic Quadrant for Data Science and Machine Learning Platforms, RapidMiner is a platform for data processing, building Machine Learning models, and deployment.
Products
The products of RapidMiner are as follows:
- Studio
- GO
- Server
- Real-Time Scoring
- Radoop
All these products have sub-versions which differ by features offered by them and pricing options.
Companies using
Companies such as BMW, Hewlett Packard Enterprise, EZCater, Sanofi use RapidMiner for their Data Processing and Machine Learning models.
Recent Advancements/ Features
Recently RapidMiner has launched RapidMiner 9.6 which has extended the platform to full-time coders and BI Users. It is a fully transparent, end-to-end Data Science platform that enables data preparation, Machine Learning, and model operations.
Tableau
Tableau is a market-leading Business Intelligence tool used to analyze and visualize data in an easy format. Being named as a leader in the Gartner Magic Quadrant 2020 For the eighth consecutive year, Tableau allows you to work on live data-set and spend more time on Data Analysis rather than Data Wrangling.
Products
Tableau Product Family include the following:
- Tableau Desktop
- Tableau Server
- Tableau Online
- Tableau Reader
- Tableau Public
Out of all, Tableau Public is a free Tableau software that you can use to make visualizations with but you need to save your workbook or worksheets in the Tableau Server which can be viewed by anyone.
Companies using
Multinational organizations such as Citibank, Deloitte, Skype, and Audi use Tableau to visualize their data and generate meaningful insights.
Recent Advancements/ Features
Tableau is coming up with frequent updates to provide users with the following:
- Fast Analytics
- Smart Dashboards
- Update Automatically
- Ease of Use
- Explore any data
- Publish a dashboard and share it live on the web and on mobile devices.
Microsoft Excel
Microsoft Excel is a platform that will help you get better insights into your data. Being one of the most popular tools for Data Analytics, Microsoft Excel provides the users with features such as sharing workbooks, work on the latest version for real-time collaboration, and adding data to Excel directly from a photo and so on.
Products
Microsoft Excel offers products in the following three categories:
- For Home
- For Business
- For Enterprises
Few of the versions are available for free for 1 month. All these products have various versions which differ by features and their pricing options.
Companies using
Almost all organizations use Microsoft Excel on a daily basis to gather meaningful insights from the data. A few of the popular names are McDonald’s, IKEA, Marriot.
Recent Advancements/ Features
The recent advancements vary on the basis of the platform. Few of the recent advancements in Windows platform are as follows:
- You can get a snapshot of your workbook with Workbook Statistics
- You can give your documents more flair with backgrounds and high-quality stock images absolutely for free
Programming Languages: R & Python
R and Python are the top programming languages used in the Data Analytics field. R is an open-source tool used for Statistics and Analytics whereas Python is a high level, an interpreted language that has an easy syntax and dynamic semantics.
Products
Both R and Python are completely free and you can easily download both of them from their respective official websites.
Companies using
Companies such as ANZ, Google, Firefox use R, and other multinational companies such as YouTube, Netflix Facebook use Python.
Recent Advancements/ Features
Python and R are developing their features and functionalities to ease the process of Data Analysis with high speed and accuracy. They are coming up with various releases on a frequent basis with their updated features.
If you wish to check out more articles on the market’s most trending technologies like Artificial Intelligence, DevOps, Ethical Hacking, then you can refer to Edureka’s official site.
Do look out for other articles in this series which will explain the various other aspects of Data Science.
2.Math And Statistics For Data Science
9.Introduction To Machine Learning
12.How To Create A Perfect Decision Tree?
13.Top 10 Myths Regarding Data Scientists Roles
15.Data Analyst vs Data Engineer vs Data Scientist
16.Types Of Artificial Intelligence
17.R vs Python
18.Artificial Intelligence vs Machine Learning vs Deep Learning
20.Data Analyst Interview Questions And Answers
21.Data Science And Machine Learning Tools For Non-Programmers
22.Top 10 Machine Learning Frameworks
23.Statistics for Machine Learning
25.Breadth-First Search Algorithm
26.Linear Discriminant Analysis in R
27.Prerequisites for Machine Learning
28.Interactive WebApps using R Shiny
29.Top 10 Books for Machine Learning
Originally published at https://www.edureka.co on May 26, 2020.
