14 BEST Data Analytics Tools (2022)

Data analytics involves analyzing data to gain insight into customers, products, or sales. Companies collect unstructured data and use data analytics to structure and interpret it. After intensive research, we have selected 14 best data analytics tools based on the type, free trial period, framework, and platform. This list contains free (open source) and paid software.

Best Data Analytics Tool

Name Data Visualization Free Trial Link
Python Matplotlib, Seaborn, and Bokeh. Free software Learn More
Zoho Charts and graphs 15-Day Free Trial Learn More
Tableau Charts, graphs, and maps. 1-year Free Trial Learn More
Qlikview Interactive graphs, charts, and maps. 30-Day Free Trial Learn More
SAS Reports and graphs 14-Day Free Trial Learn More

1) Python – Best Open-Source Data Analytics tool

Python language was initially designed as an Object-Oriented Programming language. However, today it is widely used for data science. It has a data analysis library called Pandas, which is based on NumPy (an early Python library used for data science). Using Pandas, you can easily manipulate data and perform numeric analyses.

Python

Features:

  • The machine learning and text mining features offered by Python allow for advanced data analysis.
  • It offers easy integration with other languages such as PHP, C/C++, Java, PHP, C#, etc.
  • Companies using: Google, Facebook, Instagram, Spotify, Quora, Netflix, and Dropbox.
  • Data Visualization: Matplotlib, Seaborn, and Bokeh.
👍 Pros 👎 Cons
It is used for data crawling, modeling, cleaning, and constructing deep data analysis algorithms. Pythons consume high memory.
Python allows users to run the code on several operating systems without making any changes. Complex multi-threading feature.
It is easy to learn Python even if you have no coding experience.

Key Specs:

Type of tool: Programming Language
Framework: Django, Masonite, TurboGears, web2py, CubicWeb
Pricing: Free Software
Platform: Windows, macOS, and Linux

Link: https://www.python.org/


2) Zoho – Best for Robust Insights

Using Zoho’s data analytics tool, you can instantly access your business data for key decisions. You can take benefit of its AI-powered assistant that allows users to ask questions and get intelligent answers from relevant reports. It offers advanced business intelligence (BI)- bundled with Zoho Analytics. Helpdesk, email & social media marketing, surveys, and analytics are all built around your Analytics.

Zoho

Features:

  • With Zoho’s easy-to-use connectors, you can connect to files, feeds, popular business apps, cloud databases, custom apps, and more.
  • Cleanse, transforms, enrich, and catalog your data with Zoho’s self-service data preparation module.
  • With Zoho’s drag-and-drop interface, you can easily create insightful reports and dashboards.
  • Visualize your data using charts, widgets, pivot tables, and tabular views
  • Hold meaningful conversations around reports through secure sharing and fine-grained permissions.
  • Companies using: 6e Technologies, Ackerman & Co, AcuTech Consulting Group.
  • Data Visualization: Charts and graphs
  • Integrations: 500+ integrations, includingGoogle, Zapier, GitHub, and Dropbox.
👍 Pros 👎 Cons
Low code embedded BI Tool Steep Learning curve
Low Total Cost of Ownership
Easy to use and Deploy
Security compliant

Key Specs:

Pricing: Plan to start at $14 per month.
Free Trial: 15-Days Free Trial
Platform: Windows, Mac, and Linux.

Visit Zoho >>


3) Tableau – Best Reporting Dashboards

Tableau is a leading platform for data analytics. With its interactive dashboard, users can create data visualization tools easily. It is one of the best data analytics tools for data preparation and integration, regardless of your data sources. Data sets can come from big data, Excel spreadsheets, or SQL. Tableau allows you to analyze predictive data, which helps you spot real-time trends.

Tableau

Features:

  • You can connect to a database, excel file, and web application all at the same time.
  • Tableau can also make the relationship between various types of data sources.
  • Navigate to relevant content faster and more intelligently.
  • It provides seamless user authentication for Tableau Cloud
  • Pop-up window to edit Virtual Connections and revision history.
  • Wildcard Union enhancements thumbnail
  • Companies using: Nike, Coca-Cola, Skype, The World Bank, Wells Fargo, The New York Times
  • Data Visualization: Visual elements like charts, graphs, and maps.
👍 Pros 👎 Cons
The Tableau Online solution offers many deployment options for a multi-cloud environment. Lesser functionalities for coding.
Backed by Salesforce Report Scheduling is a bit lacking
It offers the best AI Capabilities
Provides fast connection to SQL and Oracle Databases.

Key Specs:

Type of tool: Visual Analytics Platform
Pricing: Plan to start at $15 per month.
Free Trial: 1-year Free Trial. Has a Free community edition as well.
Platform: Windows and macOS

Link: https://www.tableau.com/


4) Qlikview – Best for Machine Learning

QlikView is Data Visualization and Data Analytics tool. The application provides ad hoc query capabilities and enables quick decision-making based on easily accessible information. This analytic data software utilizes the associative model and can customize the search for answers. In-memory storage to help multiple users access QlikView as fast as possible

Qlikview

Features:

  • Transparent reporting and scalability with data integration
  • It can connect and combine data from hundreds of sources.
  • You will get AI-generated insight suggestions automatically.
  • Offers a quick return on investment because of a short implementation period.
  • Companies using: Algar Telecom, Alliance Data Systems Corporation, AVERIS SDN BHD.
  • Data Visualization: Interactive graphs, charts, and maps.
👍 Pros 👎 Cons
Qlikview provides data visualization in a meaningful and innovative way Does not offer support for Linux OS
Enables you to search across all data directly and indirectly The transformation process of data is too slow.
It enables you to access, analyze, and retrieve data from mobile devices.

Key Specs:

Type of tool: Business Analytics Software
Free Trial: 30-Days Free Trial
Platform: Windows

Link: https://www.qlik.com/us/products/qlikview


5) SAS – Best BI and data analytics tool

SAS BI is a command-driven statistical software suite that is widely used for statistical data analysis and visualization. SAS offers extensive support to programmatically transform and analyse data. It also allows users to share information quickly across the enterprise. It enables you to handle large-size databases effectively. SAS has a straightforward syntax that can be learned without any programming knowledge.

SAS

Features:

  • Pinboards Creation & Sharing
  • Real-Time Keyword Validation
  • Data Sharding & Replication
  • Drill Anywhere Capability
  • Offers cross-Source Analysis
  • It has a very comprehensible language that can easily be debugged
  • Companies using: SurveyMonkey, HubSpot, Microsoft, Asana, SAP Concur
  • Data Visualization: Reports, Graphs, Charts, Plots, etc.
👍 Pros 👎 Cons
It helps you to interact with multiple host systems. Text mining is a troublesome and difficult process in SAS.
Ability to handle an extensive database with ease. Very costly data analytics solution.
It helps you to extract without a license in the office.
It makes statistical computing easier for non-programming users.

Key Specs:

Type of tool: Data Analysis and Reporting Software
Framework: Life Science Analytics Framework
Pricing: Contact customer Care for pricing
Free Trial: 14-day Free Trial

Platform: Windows

Link: https://www.sas.com/en_us/solutions/business-intelligence.html


6) IBM Cognos – Best In-memory streaming analytics

IBM Cognos is a data analytics tool that offers various features to perform data aggregation and create user-friendly detailed reports. Cognos also provides an option to export and view reports in XML or PDF format. You can get the features like scenario modeling, real-time monitoring, and predictive analytics

IBM Cognos

Features:

  • Industry-leading, in-memory streaming analytics
  • It is platform-independent, scalable, and reliable.
  • Enables users to share and modify Cognos BI content using known applications and interfaces.
  • Companies using: Acxiom, Adobe, and ANZ Bank.
  • Data Visualization: Charts, plots, infographics, and even animations.
👍 Pros 👎 Cons
You can publish Cognos-enabled files to the secure BI portal. Does not support multi-dimensional Analysis.
You can work collaboratively to establish decision networks and share insights.
Communication and coordination are made easier by using this tool.
Provides transparency and accountability to drive alignment and consensus.

Key Specs:

Type of tool: Business intelligence and performance management software.
Free Trial: 30-Day Free Trial
Platform: Windows OS

Link: https://www.ibm.com/products/cognos-analytics


7) Spark – Best Data processing framework

Apache Spark is used for data engineering, data science, and machine learning on single-node machines and clusters. It helps you to execute fast, distributed ANSI SQL queries for dashboarding and ad-hoc reporting.

Spark

Features:

  • Create machine learning algorithms on a laptop and use the same code to scale to fault-tolerant clusters
  • Supports multiple languages.
  • Spark supports both batch and real-time processing
  • It allows us to build microservices quickly.
  • Apache Spark uses Scala, a functional and easy-to-use programming language.
  • Companies using: UC Berkeley AMPLab, 4Quant, Act Now, Agile Lab, Alibaba Taobao, Alluxio.
👍 Pros 👎 Cons
Spark SQL works on structured tables and unstructured data like JSON or images. You require some advanced ability to understand and structure the modeling of big data
Easy cluster management for ETL. Does not offer any Dataset API support in the python version of spark.
SQL connector to multiple data sources

Key Specs:

Type of tool: Programming Language
Framework: Data processing framework
Pricing: Free Software
Platform: Windows

Link: https://spark.apache.org/


8) SAP Data Intelligence – Best Predictive models

SAP Data Intelligence is one of the best and most easy-to-use data analytics products. It integrates seamlessly with other SAP products. It helps you to perform self-service analytics and make accurate data-driven business decisions. It aims to help companies make better, more profitable decisions.

SAP Data Intelligence

Features:

  • It is one of the best data analytics tools that help you publish predictive models for business applications.
  • It also provides a machine learning API for data science applications.
  • Offers real-time business intelligence
  • Simplified, personalized, and dynamic information consumption
  • Companies using: Apollo Tyres, Hero India-Hero MotoCorp Ltd, Mahindra & Mahindra Ltd, MRF, Tata Motors, Bajaj Auto,
  • Data Visualization: Charts, graphs, and maps.
👍 Pros 👎 Cons
Multiple data source connectivity. The user interface is not intuitive
Easy data modeling and transformation. Slow performance when loading big data.
Data integration and visualization.
Real-time reporting functionalities.

Key Specs:

Type of tool: BI Platform
Pricing: Contact customer care for pricing
Free Trial: No
Platform: Windows

Link: https://www.sap.com/products/bi-platform.html


9) Tibco – Best Multivariate Analysis

Tibco provides self-service data visualization, which helps speed up time to insight and analytics adoption within the organization. With three new ways to support their data analytical preferences, users can generate insights quickly and easily. Real-time and historical data can be analyzed together with native streaming.

Tibco

Features:

  • Offers quick multivariate Analysis
  • AI-powered recommendations
  • It empowers non-experts’ use of advanced analytics and embedded data science
  • It supports data privacy to achieve legal compliance
  • Companies using: Pfizer, Amgen, ASML, United Airlines, FedEx Ground.
  • Data Visualization: Charts and graphs
👍 Pros 👎 Cons
Analyze data at rest and in motion to predict trends via advanced analytics and data science. Does not align gridlines with multiple scales
Identify data relationships, and discover trends, outliers, and patterns in any data without knowing its structure.
It offers 70+ native connectors and infinite custom connections via rich APIs

Key Specs:

Type of tool: Data Management and Analytics Tools
Free Trial: 30- days Trial
Platform: Windows

Link: https://www.tibco.com/products/tibco-spotfire


10) Sisense – Best for start-ups to established enterprises

Sisense AI-driven analytics cloud platform infuses intelligence at the right place and at the right time. You can securely connect and ingest data into cloud data warehouses to create a single store for your data.

Sisense

Features:

  • Easy data Import/Export
  • Multi-User Collaboration
  • Easy Financial Reporting
  • Provides customizable dashboards
  • Companies using: TuSimple, BrightBytes, Allscripts, ShipStation, Untitled Firm
  • Data Visualization: Charts, graphs, indicators, and maps
👍 Pros 👎 Cons
It is fairly simple and easy to use The correction mode makes things confusing.
The structure and thought process design is consistent. Does not offer a query table.
Mashup data from dozens of sources to provide complete of your business.

Key Specs:

Type of tool: Business Intelligence Software
Pricing: Contact customer care for pricing
Free Trial: 30 Days Free Trial
Platform: Windows and Linux

Link: https://www.sisense.com/


11) PowerBI – Best Business analytics suite

Power BI is a Business Intelligence and Data analytics app for converting data from various data sources into interactive dashboards and analysis reports. It offers cloud-based services for interactive visualizations. It provides a simple interface for end users to create their reports and dashboards.

PowerBI

Features:

  • Provides extensive Database connectivity capabilities
  • Data exploration using natural language query.
  • Provides many options related to wrangling and cleaning the data.
  • Quick Insights help you make better business decisions
  • Companies using: Accenture, WNS, Hexaware Technologies, Ernst & Young, Capgemini
  • Data Visualization: Charts, graphs, and map types via a simple, intuitive dashboard interface.
👍 Pros 👎 Cons
Pre-built dashboards and reports for SaaS Solutions You can share dashboards and reports only with users having the same email domains.
Allows data exploration using natural language query Offers very few data sources that permit real-time connections to Power BI reports and dashboards.
You can have a secure and reliable connection to your data sources in the cloud or on-premises

Key Specs:

Type of tool: Data Visualization Software
Pricing: Plan to start at $13.70 per month.
Free Trial: 60-Day Free Trial
Platform: Windows

Link: https://powerbi.microsoft.com/en-au/


12) Thoughtspot – Most easy-to-use data analytics platform

ThoughtSpot is a search-driven analytics platform that allows you to monitor your business metrics without hiring a professional analyst. It offers accurate real-time data reports and insights collection. You can create more engaging analytics experiences using search and artificial intelligence.

Thoughtspot

Features:

  • Natural Language Search
  • Provide accurate self-service analytics with Search & AI
  • Easy to use Workflow management tools
  • Robust Documentation
  • Make your favorite business apps smarter with data insights.
  • You can integrate Live Analytics into your app.
  • Companies using: Washington University, Comcast Corporation
  • Deployment: On-premises and SaaS.
  • Data Visualization: Maps, charts, tables, graphs, and so on
👍 Pros 👎 Cons
Powerful Search Function Lack of color customization
Supports multiple Data Sources Steep learning curve
You can track your company’s metrics without hiring a professional analyst.
Provides an unlimited Data Scaling

Key Specs:

Type of tool: Business Intelligence & Analytics Platform
Pricing: $95
Free Trial: 30-day free Trial
Platform: Windows, Mac, and Web-based.

Link: https://www.thoughtspot.com/


13) Talend – Best for collecting data in a single platform

Talend is a cloud-based software for data integration that also offers an on-premises solution. It is one of the best data analytics tools that support multiple cloud environments, public, private, and hybrid. Talend offers different data integration features, quality, and management.

Talend

Features:

  • Free initial setup with no required training
  • It provides shareable reports and datasets
  • Publish data directly from the service with the publish-to-web feature.
  • Supports Google Cloud, AWS, and Azure.
  • Companies using: Accenture, WNS, Hexaware Technologies, Ernst & Young, Capgemini
  • Data Visualization: Charts, graphs, and map types via a simple, intuitive dashboard interface.
👍 Pros 👎 Cons
It helps you to convert and update data present from various sources. Does not offer high-level Data Integration in the free version.
Talend Open-Source tool Inherits potential power of programming platform. You might face issues with specific big data spaces.
It helps reduce the time taken to develop integration from weeks and months to days or even hours.

Key Specs:

Type of tool: Data Visualization Software
Framework: Adoption
Pricing: Plan starts at $13.70 per month.
Free Trial: Free Trial. Has an Open Source Version as Well
Platform: Windows

Link: https://www.talend.com/products/talend-open-studio/


14) Splunk – Best for monitoring, analyzing, and visualizing machine-generated data

Splunk is a software application widely used to search, monitor, analyze, and visualize machine-generated data in real time. It captures, indexes, and correlates the real-time data and produces graphs, dashboards alerts, dashboards, and visualizations. Teams can spend less time managing infrastructure hardware and manual upgrades with Splunk.

Splunk

Features:

  • It accelerates Development & Testing
  • Agile statistics and reporting with Real-time architecture
  • You can build Real-time Data Applications
  • Companies using: The Durst Organization Inc, Lewis Inc, Zendesk Inc, Federal Emergency Management Agency
  • Data Visualization: Tables, line and area charts, Choropleth maps, and single value visualizations.
👍 Pros 👎 Cons
Enables you to generate graphs, alerts, and dashboards. It can prove expensive for large data volumes.
You can monitor any business metrics and make an informed decision. Sometimes searches are difficult to understand, especially regular expressions and search syntax.
Offers the most powerful search analysis and visualization capabilities to empower users of all types.
You can create a central repository for searching Splunk data from various sources.

Key Specs:

Type of tool: Data Platform for Hybrid World
Free Trial: 14-Day Free Trial
Platform: Windows

Link: https://www.splunk.com/

FAQ:

❓ What are the Best Data Analytics tools?

Here are some of the best Data Analytics tools:

🏅 What are the factors to consider for selecting a Data Analytics tool?

Here are essential factors to consider for selecting a Data Analytics tools

  • Type of data: When you first begin using your tool, you will likely need to import the data into it from different sources. So, you need to ensure that the tool you choose can quickly and easily handle large volumes of data quickly and easily.
  • Complexity level: The complexity level of the analytics tools depends on how deep you want to go into your Analysis. If you’re just starting, a simpler tool may be more appropriate than one with fewer features.
  • Performance: It is essential to consider how well your chosen tool performs regarding reliability, usability, and supported features.
  • Integration: You also want to make sure that the platform integrates easily with other systems within your organization so that all data can be processed together as one entity.
  • Research: Take time to evaluate each tool by using its free trial feature thoroughly before deciding so that you can find the best solution for your needs.
  • Pricing: You also need to consider the final budget while selecting your Data analytics tool. It should be able to offer the maximum benefit at a lesser price.