42 Most Frequently Used Data Analysis Tools And How They Are Used To Examine Data

Most Frequently Used Data Analysis Tools

Data analysis tools are programs and software that analyze data and provide analytic reports that assist researchers and organizations in making more informed decisions while saving money and increasing profitability.

Data analysis is the act of converting unstructured data into relevant statistics, insights, and explanations that may be utilized to inform professional decisions.

Data analysis has become a vital component of modern business operations. Choosing the best data analysis tool is a difficult task, as no platform meets all requirements.

Business analytics tools are specialized software that harvests data from one or more business systems and stores it in a repository for review and analysis, such as a data warehouse.

There are billions of businesses worldwide, and each of these generates a large amount of data, which these organizations rely on to make key business choices.

The raw data must be transformed into relevant information that organizations can use, which is accomplished through data analysis and used for further information.

Data analysis is not a single procedure, but a series of operations that begin with the acquisition of data, continue with its cleansing, and conclude with its transformation into meaningful information.

This procedure is comparable to the way you collect all the fragments and fit them together to make a beautiful image. Data analysis, like data mining, operates on virtually identical principles to accomplish its goals.

In general, we employ a variety of data analysis tools in research or business, and these tools are used to acquire and convert data into useful information.

To make the most of the seemingly infinite range of data analytics tools now available on the market, we will review the 40 most critical data analytics tools required to become a good data analyst.

List of 40 Most Frequently Used Data Analysis Tool

1. Apache Spark

Apache Spark is a unified analytics engine for big data processing that comes pre-configured with modules for streaming, SQL, machine learning, and graph analysis. Apache Spark is a free, open-source distributed processing solution for handling large amounts of data.

Use: It makes use of in-memory caching and improved query execution to provide rapid analysis of data of any size. It is a fast and versatile engine for processing enormous amounts of data quickly.

2. Apache Storm

Apache Storm is a distributed real-time computer system that is completely free and open source. Apache Storm enables the reliable processing of unlimited streams of data, performing the same function as Hadoop does for batch processing.

Apache Storm is easy to use, compatible with any programming language, a lot of fun, and interacts with your existing queueing and database technologies.

Use: Apache Storm is applicable to a wide variety of use cases, including real-time analytics, online machine learning, continuous computation, distributed RPC, and ETL.

Apache Storm is fast, and the benchmark estimated that it can handle over a million tuples per second per node. It is scalable, fault-tolerant, ensures the processing of your data, and is simple to set up and manage.

3. Domo

Domo, Inc. is a cloud-based platform that enables decision-makers across the organization to gain direct, simplified, real-time access to business data with minimal IT participation. It is a cloud-based software-as-a-service (SaaS) company.

Use: Domo Business Cloud is a modern business intelligence platform that integrates effortlessly with any technology infrastructure. It is comprised of an integrated platform of data fabric, analytics, and intelligent apps that enables you to increase data literacy by placing business users in charge of business intelligence and analytics.

4. Excel

Microsoft Excel is a spreadsheet application for Windows, macOS, Android, and iOS developed by Microsoft. It includes calculators, graphing tools, pivot tables, visual basics for applications, and a macro programming language.

Use: Excel is most frequently used to organize data and do financial analysis. It is utilized across all business functions and in organizations of all sizes.

5. Google Data Studio

Google Data Studio is a web-based tool for transforming data into customizable, informative reports and dashboards that Google launched on March 15, 2016, as part of the enterprise Google Analytics 360 suite. Google announced in May 2016 the availability of a free version of Data Studio for individuals and small teams.

Use: Without programming, Data Studio enables you to effortlessly report on data from a broad variety of sources. You may link to data sets such as Google Marketing Platform products such as Google Ads, Analytics, Display & Video 360, and Search Ads 360 in a matter of seconds.

6. Google Fusion Table

Google Fusion Tables was a data management online data management tool that accepts data files organized in the style of a simple database table, most often as CSV files. Fusion Tables files can be private, unlisted, or public, as desired by the user and consistent with the conventions established by other Google Docs apps. Google Drive was then loaded with files and made searchable for the user.

Use: Google Fusion Tables are used to collect, visualize, and share data. Multiple tables are used to hold data, which Internet users can browse and download.

7. Grafana

Grafana is web-based analytics and interactive visualization program that runs on multiple platforms. When connected to supported data sources, it delivers charts, graphs, and alerts for the web and dashboards simplify the process of tracking users and events by automating the collection, administration, and presentation of data.

Use: Grafana is used by businesses to monitor their infrastructure and do log analytics, mostly to increase operational efficiency.

8. IBM Cognos

IBM Cognos Business Intelligence is an integrated business intelligence suite that is accessible via the web. It includes a toolkit for reporting, analytics, score carding, and event and metric monitoring. The program is composed of multiple components that are intended to address the various information requirements of a business.

Use: IBM Cognos enables anybody in your organization to see or generate business reports, analyze data, and monitor events and metrics to help you make better business decisions.

9. Jupyter Notebook

Jupyter is a free, open-source, non-profit initiative that originated from the IPython Project and is an interactive web application referred to as a computational notebook that enables academics to mix software code, computational output, explanatory text, and multimedia resources into a single document and services for interactive computing in dozens of programming languages.

Use: Jupyter enables data scientists to create and share documents that contain live code, equations, computational output, visualizations, and other multimedia resources, in addition to explanatory text.


The Konstanz Information Miner, or KNIME, is a free and open-source platform for data analytics, reporting, and integration. Through its modular data pipelining “Lego of Analytics” idea and integrates numerous components for machine learning and data mining.

KNIME Analytics Platform is an open-source data science platform and the constant integration of new advancements makes data analysis and the construction of data science processes and reusable components accessible to everyone.

Use: KNIME enables users to design data flows (or pipelines) visually, execute some or all analysis processes selectively, and then evaluate the results, models, and associated data using interactive widgets and views.

11. Looker

Looker is a business intelligence and big data analytics platform that enables easy exploration, analysis, and sharing of real-time business insights.

Looker Data Sciences, Inc. is a Santa Cruz, California-based computer software company and is a business intelligence tool for data exploration and discovery.

Use: Looker is a robust business intelligence (BI) solution that enables organizations to create intelligent visualizations. It features an intuitive user interface, is entirely browser-based, and enables dashboard collaboration.

12. Microsoft Power BI

Microsoft Power BI is a business analytics service and has dynamic visualizations and business intelligence features, as well as a user interface Microsoft claims, is simple enough for end-users to build reports and dashboards. It is included in the Microsoft Power Platform.

Power BI is a collection of software services, apps, and connectors that work collaboratively to transform disparate data sources into coherent, visually immersive, and interactive insights.

Use: Microsoft Power BI service is a secure cloud-based application that enables users to access dashboards, reports, and Power BI apps and a type of content that integrates linked dashboards and reports, via a web browser or mobile apps for Windows, iOS, and Android.

13. Minitab

Minitab is a piece of software that enables data analysis and supports businesses in finding trends, resolving difficulties, and generating usable insights from data by delivering a comprehensive and best-in-class set of statistical analysis and process improvement tools.

Minitab has aided businesses in reducing costs, boosting quality, increasing customer satisfaction, and increasing effectiveness.

Use: Minitab use helps you to acquire deeper insights from data than ever before and to find the true value of your data. This is particularly for Six Sigma specialists and enables the simple and effective input of statistical data, its manipulation, the detection of trends and patterns, and finally the extrapolation of reactions to current issues.

14. Mode

Mode is a data analytics platform aiming at offering an intuitive and iterative environment for Data Scientists. It includes an interactive SQL editor, a notebook environment for analysis and visualization, as well as novice-friendly collaborative tools.

Mode’s Helix Data engine is unique in that it streams and saves data from external databases, enabling rapid and interactive analysis. The Data Analysis module may store up to ten gigabytes of data in memory.

Use: Mode Analytics is a data visualization and reporting application that is well-known for its easy user interface and collaborative features.

15. NodeXL

NodeXL is a Microsoft Excel 2007/2010/2013/2016 network analysis and visualization software suite. It is a popular package, like others such as Pajek, UCINet, and Gephi.

It is commonly used in the ring, vertex, and edge mapping, as well as customized visual features and tags.

Use: NodeXL is a powerful and easy-to-use interactive network visualization and analysis tool that leverages the widely accessible MS Excel application to represent generic graph data, perform advanced network analysis, and visually explore networks.

16. OpenRefine

OpenRefine, formerly known as GoogleRefine and Freebase Gridworks, is a stand-alone open-source desktop tool for data purification and transformation, a process known as data wrangling. It is comparable to spreadsheet apps but acts more like a database.

Use: OpenRefine, is a sophisticated piece of open-source software that visualizes and manipulates massive amounts of data simultaneously and acts as a database, enabling greater discovery possibilities than tools such as Microsoft Excel.

17. Oracle Analytics Cloud

Oracle Analytics Cloud is a scalable and secure public cloud service that enables you, your workgroup, and your company to discover and perform collaborative analytics.

Oracle Analytics Cloud enables companies worldwide to gain strong insights using machine learning, enabling enterprises to rapidly find novel insights through automation and intelligence.

Use: Oracle Analytics Cloud provides flexible service management capabilities, such as rapid deployment, simple scaling and patching, and automated lifecycle management.

18. Orange

Orange is a free and open-source framework for data visualization, machine learning, and data mining. It has a graphical programming interface for exploratory data analysis and interactive data visualization, as well as the ability to utilize it as a Python library.

Use: Orange’s purpose is to serve as a platform for experimental selection, predictive modeling, and recommendation systems. It is primarily utilized in the fields of bioinformatics, genomic research, healthcare, and education.

19. Pentaho

Pentaho is corporate intelligence software that enables data integration, online analytical processing (OLAP), reporting, information dashboards, data mining, and extract, transform, and load capabilities. Pentaho is a bundle of tools for developing relational and analytical reporting.

Use: It is used to turn complex data into relevant reports and extract information using Pentaho and generate reports in a variety of forms, including HTML, Excel, PDF, Text, CSV, and XML.

20. Pig

Pig is a programming language that is used to analyze massive amounts of data. It is an abstraction layer on top of MapReduce and provides the Pig-Latin programming language for writing code that includes numerous built-in functions such as join, filter, and so on.

Pig-Latin and Pig-Engine are the two components of Apache Pig. Pig Engine is used to transform all these scripts into a single map and reduce jobs. Pig abstraction is advanced. It has fewer lines of code than MapReduce.

Use: Pig is a high-level scripting language for Apache Hadoop and enables data scientists to write complicated data transformations without having any prior knowledge of Java. Pig consumes data from a variety of sources, both structured and unstructured, and writes the findings to the Hadoop Data File System.

21. Hive

Hive is a Hadoop-based data structure that is used to process structured data in Hadoop. Facebook created Hive. It provides a variety of query languages, together referred to as Hive Query Language.

Apache Hive is a data warehouse that provides a SQL-like interface between the user and Hadoop’s distributed file system (HDFS).

Use: Hive is key Hadoop data analytics technology that simplifies the process of constructing MapReduce queries and is used by most businesses that work with Big Data and leverage the Hadoop infrastructure.

22. Power IB

Microsoft Power BI is a business analytics service and has dynamic visualizations and business intelligence features, as well as a user interface Microsoft claims, is simple enough for end-users to build reports and dashboards. It is included as part of Microsoft’s Power Platform.

Use: Power BI is a collection of software services, apps, and connectors that work collaboratively to transform disparate sources of data into cohesive, visually immersive, and interactive insights. Your data may be stored in an Excel spreadsheet or in a hybrid data warehouse that is both cloud-based and on-premises.

23. Python

Python has been one of the most popular programming languages since its introduction. The primary reason for its popularity is that it is a very simple-to-learn language that is also quite fast.

However, with the introduction of analytical and statistical libraries such as NumPy, SciPy, and others, it evolved into a strong data analytics tool. It now encompasses a broad range of statistical and mathematical functions.

Use: Python is a general-purpose programming language, which means it may be used for a wide variety of purposes. Like, web development, artificial intelligence, machine learning, operating systems, mobile application development, and video game creation.

24. Qlik

Qlik is a business intelligence application that enables data integration, conversational analytics, and the conversion of raw data to knowledge bases and supports ad hoc queries, and enables rapid decision-making based on readily accessible data.

Use: Qlik is a software company that specializes in data visualization, executive dashboards, and self-service corporate intelligence.

Qlik, along with Tableau and Microsoft, is consistently ranked as one of the top data visualization and business intelligence (BI) providers in the industry by analyst firm Gartner.

25. Qlik Sense

Qlik Sense is a comprehensive data analytics tool that establishes a new standard for analytics. With its unique associative analytics engine, sophisticated artificial intelligence, and high-performance cloud platform, you can empower everyone in your business to make smarter decisions on a regular basis, resulting in a truly data-driven enterprise.

Use: Qlik Sense is a desktop application for Windows that enables users to create visualizations, charts, interactive dashboards, and analytics applications for local and offline use.

26. QlikView

The current era of analytics truly began with the release of QlikView, our original analytics solution, and the ground-breaking associative engine upon which it is built.

It transformed the way organizations use data by putting intuitive visual discovery in the hands of more people than ever before.

Use: It serves the complete range of analytics use cases at a corporate scale with the associative Engine, strong augmented analytics, and a regulated multi-cloud architecture.

27. R

R has grown to become one of the industry’s most used analytics tools. It has eclipsed SAS in terms of utilization and is now the preferred data analytics tool, even for businesses that can afford SAS.

R has become significantly more robust over time. It is significantly more capable of handling enormous data sets than it was even a decade ago. Additionally, it has grown in versatility.

Use: The R programming language is frequently used by statisticians and data miners to create statistical tools and do data analysis. While R ships with a command-line interface, various third-party graphical user interfaces are available, including RStudio, an integrated development environment, and Jupyter, a notebook interface.

28. RapidMiner

RapidMiner is a data science software platform built by the same-named firm that combines data preparation, machine learning, deep learning, text mining, and predictive analytics into a single environment.

Use: RapidMiner is used to do data mining and machine learning tasks such as data loading and transformation (ETL), data preparation and visualization, predictive analytics and statistical modeling, as well as evaluation and deployment. RapidMiner is written in Java.

29. Redash

Redash is a free and open-source web application framework. It is used to de-duplicate databases and visualizes the findings and lightweight data analytics applications for querying data sources and creating infographics.

It has a query editor that provides a streamlined interface for managing requests, schemes, and integrations. Redash was created to empower anyone, regardless of technological sophistication, to leverage the power of big and little data.

Use: Redash enables SQL users to explore, query, display, and share data from a variety of data sources and enable data to be used by anybody in their business.
30. SAP

SAP is a global software company that specializes in developing enterprise software for managing corporate operations aSAP is a multinational software corporation that specializes in the creation of enterprise software used to manage corporate operations and customer relationships. SAP SE is the world’s largest provider of business software solutions, with headquarters in Germany.

Use: SAP software enables diverse business functions to share a single view of the truth by centralizing data management. This enables businesses to handle complicated business processes more effectively by providing employees from various departments with simple access to enterprise-wide real-time analytics.

31. SAS

SAS is a data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics software package developed by SAS Institute.

SAS was created at North Carolina State University from 1966 to 1976 when it was incorporated as SAS Institute.

Use: SAS is a command-line-based software tool for performing statistical analysis and visualizing data. It is only compatible with Windows operating systems. It is, without a doubt, the most frequently used statistical software program in industry and academics.

32. SAS Institute

SAS Institute Inc., formerly Statistical Analysis Systems, was formed in 1976 in part by Jim Goodnight, who continues to serve as SAS’s CEO. SAS develops and markets a suite of analytics software that enables organizations to easily access, manage, analyze, and report on data for decision-making purposes.

Use: SAS/IML is a proprietary tool that enables users to invoke R commands, while the SAS Viya data platform enables developers to create data tools using Java, Python, and RESTful APIs.

33. Sisense

Sisense is a data analytics platform designed to assist technical developers and business analysts in processing and visualizing all of their company data. It provides a plethora of drag-and-drop tools and collaborative dashboards.

The Sisense platform is distinguished by its proprietary in-chip technology, which optimizes computations by utilizing CPU caching rather than slower RAM. This can result in a 10-100-fold increase in the speed of computing for certain operations.

Use: Sisense is a comprehensive solution that includes a large library of data visualizations and has been regarded as one of the top data visualization tools on the market, allowing users to quickly create relevant beautiful dashboards.

34. Splunk

Splunk Enterprise Security (ES) enables the resolution of a broad range of security analytics and operational use cases, including continuous security monitoring, advanced threat detection, compliance, incident investigation, forensics, and incident response.

Splunk ES is a paid security solution and the world’s first platform, bridging the gap between data and action to ensure that everyone thrives in the Data Age.

Use: Splunk enables enterprise-wide access to machine data by finding data trends, providing metrics, diagnosing issues, and delivering intelligence for business operations. Splunk is a cross-platform tool that enables application administration, security, and compliance, as well as business and web analytics.

35. Spotfire

Spotfire is a highly sophisticated enterprise-grade analytics platform for obtaining actionable business insights. It is an intelligent, safe, scalable, and versatile platform that enables data visualization, exploration, wrangling, and predictive analytics.

The Spotfire database maintains the data necessary for the Spotfire Server to control the Spotfire environment, such as users, groups, licenses, preferences, shared analysis, and system configuration data. Spotfire can be installed on either an Oracle Database or a Microsoft SQL Server.

Use: Spotfire enables users to aggregate data in a single study and interactively visualize the outcomes holistically. Spotfire software empowers businesses by enabling them to be more intelligent, by providing AI-powered analytics, and by simplifying the viewing of interactive data on maps.

36. SPSS

SPSS is an acronym for Statistical Package for the Social Sciences, and it is used by a variety of different types of academics for performing advanced statistical data analysis.

SPSS was developed to manage and analyze social science data. Most leading research firms utilize SPSS to analyze survey data and mine text data in order to maximize the value of their research and survey projects.

Use: SPSS is used by market researchers, health researchers, survey firms, government bodies, educators, marketing organizations, and data miners, among others, to process and analyze survey data collected using an online survey platform.

37. Stata

Stata is a “complete, comprehensive statistical software package that covers all you need for data analysis, data administration, and graphics,”.

Stata is a piece of software that enables you to store and manage data of both large and small data sets, perform statistical analysis on your data, and enables users to analyze, manage, and visualize data graphically.

Use: This software is frequently used by health researchers, particularly those who work with extremely huge data sets because it is a powerful tool that enables you to perform practically anything with your data. It is largely used by economists, biomedical researchers, and political scientists to study data patterns.

38. Tableau

Tableau is a visual analytics engine that makes interactive visual analytics in the form of dashboards easier to construct. These dashboards simplify the process of converting data into understandable, interactive visualizations for non-technical analysts and end-users.

Tableau is a robust and rapidly growing data visualization tool that is widely used in the business intelligence industry. It aids in the simplification of raw data by presenting it in a readily understandable style.

Use: Tableau is used for data visualization in business intelligence collaboration on data fusion live data analysis and management, superior graphics to Excel, and, most critically, the ability to handle substantially more data than Excel.

39. Public Tableau

It is a version of Tableau designed specifically for cost-conscious users. The term “public” refers to the fact that the workbooks created cannot be kept locally; instead, they should be saved to Tableau’s public cloud, which is viewable and accessible to anyone. There is no privacy associated with cloud-based files, as anyone can download and access them.

Use: Tableau Public is a free online platform for sharing and exploring data visualizations and Tableau Desktop Professional Edition or the free Public Edition can be used to generate visuals by anyone.

40. Talend

Talend is a data integration ETL tool and Data Fabric is the only platform that effortlessly integrates a broad variety of data integration and governance capabilities for proactive information management.

Talend has been chosen by over 6,500 customers worldwide to help them operate their businesses on health data.

Use: It provides data preparation, data quality, data integration, application integration, data management, and big data software solutions. Talend offers a distinct product for each of these options. Products for data integration and big data are frequently utilized.

41. ThoughtSpot

ThoughtSpot is a business intelligence and big data analytics platform that enables the effortless exploration, analysis, and sharing of real-time business analytics data. Additionally, it enables users to automatically integrate tables from disparate data sources in order to eliminate data silos.

Use: ThoughtSpot enables anybody to ask any question, discover insights, and dive deeper into their company’s data. Anyone may use natural language search and artificial intelligence to unearth data insights and leverage the cloud data ecosystem’s most cutting-edge advancements.

42. TIBCO Spotfire

TIBCO Spotfire is a data analytics platform that enables natural language search and data insights enabled by artificial intelligence. This is a complete reporting platform that supports both mobile and desktop applications. Additionally, Spotfire provides point-and-click tools for developing predictive analytics models.

Use: TIBCO Spotfire is the most comprehensive analytics solution available, enabling anybody to explore and visualize new insights in data via immersive dashboards and advanced analytics, geolocation analytics, and streaming analytics capabilities.

This article offers a new and updated list of the most popular data analytics tools and hopes you can now easily use these tools to better your data analysis job in a quick and easy manner.

KRS is an academic collaborative research platform that regularly updates its information to aid in your professional development.

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