Best Data Analytics Tool
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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
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.
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
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.
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.
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.
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
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.
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.
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.
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.
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:
Python Zoho Analytics Tableau QlikView SAS
🏅 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.
