Top 10 Data Analytics Tools for 2023

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data analytics tools

In today's data-driven world, data analytics tools have become essential for businesses looking to gain insight from their data. 

These powerful tools turn raw data into actionable insights, analysing historical data and real-time information so that companies can better understand their business and their customers. By understanding this data, businesses can make better decisions about where to allocate their resources and how to price their products or services.

Choosing the best data analytics tool for your business has become crucial to making the most out of your data. From open-source software to powerful AI-powered software, there are thousands of different analytics tools on the market, each helping everything from assessing the quality of data to pinpointing industry trends before they happen.

But, what is the best data analytics tool for your business? In this article, we will explore the top 10 data analytics tools for 2023 to help you make the best choice for your analytical needs.

SAS Viya

We kick off our list with SAS Viya – a trusted data and AI analytics platform for industries like healthcare, finance, and government where data security and compliance are crucial. With its fully integrated, open-source cloud native AI and analytics platform, SAS allows you to understand what’s happening with your data and progress faster. Its intuitive and easy-to-use interface also means it can be used by everyone in your organisation, no matter their skill level. 

A leader in the Forrester Wave: AI Decisioning Platforms for Q2 of 2023, SAS offers a host of powerful analytics features, including its advanced AI analytics and predictive and prescriptive analytics platforms. It also provides robust data governance features and is highly scaleable through its integration of AI, allowing it to handle lagrange datasets and complex analytics tasks. 



With a unique, AI-driven approach to analytics, the ThoughtSpot platform is all about making access to data more intelligent. You can access live real-time insights into your data stack, and use them to empower colleagues, customers, and partners. ThoughtSpot is available as an application in its own right but can be alternatively integrated into tools like Slack and Salesforce. 

The biggest appeal of ThoughtSpot for most businesses is its simplicity. The company makes it easier for anyone to use AI and search functionality to find hidden insights in complex data ecosystems. You can even use the developer-friendly platform to build your own interactive data apps.

Qlik Sense

Previously known as QlikView, Qlik Sense is a portfolio of data analytics products built specifically for the Qlik Associative Engine. The solution is a next-generation product for self-service data analytics. Promising one of the fastest ways to explore, understand, and analyse business data, Qlik Sense offers everything from quick and easy data loading to interactive smart visualizations.

The Qlik Sense SaaS solution is free for personal and business use, which might be why it’s earned recognition as an award-winning system. You’ll also have access to drag-and-drop dashboards with this tool, and data storytelling solutions for sharing insights.


An analytics industry powerhouse, RapidMiner offers state-of-the-art data analytics and intelligence with RapidMiner Studio. The system comes pre-built with a visual workflow designer, to help you speed up and automate the creation of analytical models. You can also access algorithms and functions within this system to build your own predictive analytics sets. 

One of the more flexible tools in the data landscape, RapidMiner can collect any data source, no matter where it is. You can also connect with new sources easily by collecting extensions from the RapidMiner marketplace, and re-use connections at any stage.


Year after year, Splunk has been one of the world’s most popular platforms for big data management, collection and analytics. Recently acquired by Cisco for a record $28 billion deal, Splunk is available in a range of deployment versions, to help companies drive insights from large amounts of data, often taken from distributed environments. 

The Splunk environment is popular among businesses of all sizes because it makes it easier to collect and act upon the value of big data generated by your security systems, business applications, technology infrastructure, and more. There’s even a free download or cloud-based trial available for beginners who want to discover what Splunk is capable of. 

SAP Analytics Cloud

Few companies in the technology landscape come close to SAP when it comes to analytics. Our number one pick for 2020, the SAP analytics cloud incorporates direct connectivity to various data sources with an unmatched knowledge of business processes and semantics, giving every user a phenomenal insightful experience. 

SAP’s approach to “unified data analytics solutions” is designed to help businesses from any background to turn raw data into meaningful and actionable insights. You can unify information from a host of different environments, perform in-depth quality testing, and use automated systems to collect value from your data in no time. 


SQream offers business leaders a “hybrid analytics platform” where you can get faster insights into your most crucial business data. Available in a range of different cloud environments, from AWS to Azure, SQream Technology’s platform makes finding trends simple. 

Among the many appealing elements of SQream’s ecosystem is its speed. The company can offer unmatched cost-performance on 30TB, more than 4 times faster than competitors. The exceptional speed of the technology, plus the company’s dedication to ease of use means you can accelerate total time to insight on any data size.


One of the best-known names in data science and analytics, Tableau is an end-to-end approach to data analytics, which unlocks opportunities for companies all around the globe. Excelling in areas like self-service visual analytics and data management, Tableau allows companies to prep and understand data like never before while sharing it with their team. 

This collaborative environment makes it easy to examine big data insights and ask new questions about the various sources of governed big data in your ecosystem. The visual analytics platform is making data more accessible to the masses. 

Zoho Analytics 

With an impressive portfolio of over 16 thousand customers, Zoho Analytics stands out for its, intuitive, easy-to-use BI platform and incredible value for its price point. The platform allows you to connect to multiple data sources, including business applications, files and feeds, and seamlessly create dashboards and insightful reports using AI and ML technologies. It also provides you with actionable insights on real-time data while keeping an eye on key metrics and getting instant updates on your KPIs. 

Available both on-premises and in the cloud, Analytics has a wide range of APIs that allow it to be readily expanded to suit all your analytics needs. Its mobile app is available on both iOS and Android platforms, and it has self-service data preparation and management capabilities, as well as an intuitive drag-and-drop interface and more than 500 third-party integrations.

Microsoft Power BI 

Our number one spot goes to Microsoft Power BI – an industry-leading data visualisation tool with a host of features allowing you to explore and visualise your data effectively. With Power BI, you can create rich, interaction data visualisations from multiple data sources so that everyone in your business can make data-driven decisions. You can also easily create and modify data reports and dashboards and share them securely across applications, providing views for deeper insights that drive success across your business. 

Built on the back of Azure, the key focus of Power BI is data mining, exploring and reporting. The platform offers near-limitless data mining capabilities and can extract insights from traditional databases as easily as it can extract data from newer SaaS architectures like GitHub and Zendesk. Power BI also supports third-party custom visuals, allowing you to build the best reports for your business once the right data sources have been mined and relevant insights extracted.