Data analytics tools help your organization understand the insights in your data through custom dashboards, reports, applications, and other visualizations. This software category covers a broad range of capabilities and use cases, from drag-and-drop, no-code dashboard creation software to end-to-end data extraction, analytics, and management platforms. 

We picked eight of the top data analytics tools for 2024 by referencing G2 ratings and reviews. 

Table of Contents

  1. Chartio
  2. Domo
  3. Qlik Sense
  4. Microsoft Power Bi Desktop
  5. Looker
  6. Sisense
  7. Tableau Desktop

1. Chartio

Chartio is a user-friendly business analytics platform that offers a Visual SQL mode for business users and a SQL mode for your data team to put together dashboards. Everyone in your organization can use data to drive their decision-making, better understand trends, and create visualizations that match their custom needs. Chartio does a good job at balancing the user experience for both types of users, so you don’t need to procure a second analytics solution for your data specialists. 

Key Features of Chartio

  • Built-in and partner connections for more than 100 business data sources
  • Visual SQL for easy data exploration for business users 
  • SQL mode for advanced technical users 
  • No-code custom charts and dashboards 
  • Sharing functionality, including Slack messages, PDF reports, images, and SVGs


2. Domo

Domo is a comprehensive business intelligence platform in the cloud designed to help you modernize your business processes and empower everyone in the organization with real-time access to data. It helps you connect your data sources together, create intelligent mobile apps, improve collaboration throughout the organization, and predict insights that can have a major impact on your business. You can easily embed analytics and dashboards into other applications, set up custom alerts, and use AutoML technology to gain a better understanding of your data. 

Key Features of Domo

  • Handles trillions of rows of data
  • Sub-second query times
  • Cloud-native platform 
  • Focuses on the mobile experience
  • Real-time and predictive visualizations 
  • Integrates your data without moving it

3. Qlik Sense

Qlik Sense provides an enterprise big data analytics platform that offers functionality for every user type in your organization. Business users can set up visualizations through a user-friendly self-service interface, while data teams can leverage open and standard APIs to get the customized analytics solutions they need. Qlik Sense uses a multi-cloud architecture so you can easily scale your largest projects and also offers centralized data management and governance capabilities.

This data analytics platform does not use a query-based tool. Instead, it uses the Qlik Associative Engine, which is a cognitive engine that combines data, AI insights, and automated processes to better support users and address query limitations. 

Key Features of Qlik Sense

  • Associative analytics engine 
  • AI assistant 
  • SaaS, multi-cloud, and on-premise deployment options
  • Open APIs
  • Accessible to business users

4. Microsoft Power BI Desktop

Microsoft Power BI Desktop is one of the few free data analytics platforms on the market, which makes it an excellent choice for organizations just starting in their analytics efforts. It uses the familiar Office interface to ease the learning curve and improve adoption, along with the Power Query interface. This user-friendly solution allows you to quickly create data visualizations and reports with customized modeling. Microsoft Power BI Desktop is closely integrated with other Power BI tools, including the web service, mobile app, and embedded solution. 

Key Features of Microsoft Power BI Desktop

  • Free software
  • 100+ on-premise and cloud data sources supported 
  • Self-service Power Query data modeling interface 
  • Familiar Microsoft Office platform 
  • No code, AI-augmented analytics 

5. Looker

Looker is a data analytics tool that is 100% in-database, allowing your organization to have insights based on real-time information. When you have use cases that require fast decision-making, an in-database configuration means that you don’t have to extract your data before you can use it. You connect with the row-level data and set up your visualizations based on it. It’s easy to scale your data analytics with this Google Cloud-based platform and share approachable reports and dashboards. 

Key Features of Looker

  • Operates completely in the database 
  • Unify all your data sources 
  • Drag-and-drop construction of dashboards and reports 
  • Alerts for concerning changes in data 
  • SQL Runner for advanced users 


6. Sisense

Sisense is an API-first data and analytics platform that helps your organization combine data from multiple sources and create embeddable analytics applications. This platform is best for data teams and technical users who want to get more out of their data. You have advanced capabilities such as an integrated widget library for visualizations; live and cached data models; creation tools for web portals, custom applications, chatbots, and Alexa; developer toolkits; white-label analytics for desktop and mobile devices; and support for on-premise, cloud, and hybrid data connections.

Key Features of Sisense

  • API-first and cloud-native platform 
  • Self-service analytics for business users
  • Cloud, hybrid, and on-premise deployment options 
  • White-labeled BI application
  • Combine live and cached data models 

7. Tableau Desktop

Tableau Desktop is a no-code data visualization tool that makes it simple for business users to create powerful interactive dashboards through a drag-and-drop interface. Connecting to common data sources is a straightforward process, whether they’re located in cloud applications, SQL databases, or data warehouses. You can create reference lines and forecasts, look over trend analyses, create an interactive map with your data, and share your interactive visualizations with others. 

Key Features of Tableau Desktop

  • Live visual analytics and interactive dashboards and maps 
  • No code data connections 
  • Drag-and-drop interface 
  • Live and in-memory data 
  • Device designer for optimizing dashboards across devices 

8. is an Extract, Transform, Load cloud-based platform that makes it easy for anyone to set up advanced data pipelines. The user-friendly visual interface guides users through connecting their data sources and destinations, setting up data transformations, and configuring other vital processes to get data ready for analytics. has a robust set of integrations with data analytics tools, including Chartio, Looker, and Domo.

Key Features of

  • Cloud-based
  • Low code and no code options
  • Supports ETL and ELT pipelines
  • Load data into data warehouses, data lakes, and Salesforce
  • Automates your data pipelines


Get More Out of Your Data Analytics Platform by Improving Data Quality with

Poor quality data is going to get in the way of making the best decisions for your organization. Instead of sending your data directly from your sources into these solutions, set up a data pipeline with to take it through the ETL process. The result is cleansed data that perfectly fits your requirements, all set up with a no-code process. Test us out with a 14-day demo to see the difference.