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Top 5 Best AI Data Analytics Tools Comparison 2024

Best AI data analytics tools banner - blog article by ajelix

If you’re not using AI in your business, then you’re falling behind. That’s what everyone is saying and they are partially right. If you’re not using AI 🤖 for business operations most likely your competitors are therefore they have a competitive advantage over you.

One of the ways how you can use AI is for your business data analytics. Using AI for analytics can help you speed up your tasks, help you identify patterns, and uncover correlations. It depends on which AI data analytics tool you’ll use as each one offers different functionality.

This article will introduce different AI tools to help you compare and pick the best one for your needs.

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What’s AI Data Analytics Tool?

An AI Data Analytics Tool is a software platform that uses artificial intelligence (AI) to automate and improve the process of data analysis. These tools can be used to collect, clean, analyze, and visualize data in order to identify trends, patterns, and insights.

How To Choose Data Analytics Tool For Your Organization?

To choose the best software consider what types of data you need to analyze, what’s your budget, IT capabilities and data governance requirements.

Time needed: 1 hour

How to pick the right AI data analytics software?

  1. Consider what types of data you need to analyze

    If you work with a lot of structured data, such as sales figures or customer information, you may want to choose a tool that is specifically designed for that type of data.

  2. Understand your budget and time constrains

    Data analytics tools can range in price from free to tens of thousands of dollars per year. So it’s crucial to decide how much you can afford to spend on a tool. And how fast you need it as some tools require complex setup.

  3. Review your IT capabilities

    Some data analytics tools require a lot of technical expertise to install and configure. If you have limited IT resources, you may want to choose a tool that is easier to deploy and manage.

  4. Make sure about data governance requirements

    If you have strict data governance requirements, you need to choose a tool that supports your processes.

  5. What are the reporting and collaboration needs?

    Review your needs and understand the most important features this tool should have. That will help you decide which tool does or doesn’t work for you.

List Of AI Data Analytics Tools

Discover the best data analytics tools that offer AI functionality to their users:

  1. Ajelix BI
  2. Polymer
  3. Tableau
  4. Looker
  5. Power BI

Let’s get to the feature comparison for each tool.

1. Ajelix BI

Ajelix BI editing mode dashboard - best AI Data Analytics Tools

Ajelix BI 1-click dashboard example screenshot. View the live report here.

AI Features

  • AI data analyzer
  • AI chart builder from prompts
  • One-click reports and premade charts & KPIs from your data
  • AI assistant
FeaturesLive data refreshing, drag and drop interface, easy to use, sharing, quick actions, such as 1-click reports, insights, easy set-up, created for non-technical teams, great data visualization capabilities, eased sharing settings
AI FeaturesOne-click features, pre-made charts & insights
ProsEase of use, powerful data visualization capabilities, great for non-technical teams, no-complex setups or trainings required, cost-effective, offers freemium plan
PricingFrom 19.95$
AdditionalWhen subscribing get access to more than 20+ AI tools, such as excel formula generator.
Ajelix BI feature overview

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2. Polymer

Polymer dashboard example screenshot - AI Data Analytics Tools

Polymer dashboard example from their webpage

Polymer is quite new business intelligence platform, they focus on self-service analytics and ease of use. They offer many integrations and data sources as well as AI functionality.

AI Features

  • AI generated dashboard
  • AI powered chat for data analytics
FeaturesEmbedded analytics, AI features, Cost-effective, Integrates with other tools, Live data refreshing, Templates
AI FeaturesGenerated dashboards, AI powered chats with insights
ProsEasy to use interface, Created for non-technical users, Integrates with a wide range of other business intelligence tools, Affordable pricing
ConsRelatively limited data analysis capabilities, Limited functionality, Can experience speed issues with large data
PricingFree trial, starting from 20$-500$ per month
Feature comparison for Polymer

Related Article: Tableau Pros And Cons To Pick The Right Software

3. Tableau

Tableau dashboard example - AI Data Analytics Tools

Tableau dashboard example screenshot from their website

Tableau is one of the most popular data visualization platforms out in the market. Looking for advanced data analytics capabilities as it requires IT and analytics knowledge to setup the dashboards. This may not be the ideal tool for small businesses.

AI Features

  • Advanced AI analytics capabilities using their machine learning module Einstein.
  • AI powered data cleaning and preparation tasks.
  • Tableau can detect anomalies in data, which can be helpful for identifying potential problems or opportunities.
  • AI powered chat for analytics
  • AI analyzer and data explainer
FeaturesAI-powered data analytics, interactive dashboards, drag-and-drop interface, data visualization, embedded analytics, data preparation, data storage flexibility, mobile version, scalability for large datasets, embedded analytics
AI featuresAutoML, Explainable AI, Natural language processing, Anomaly detection, Predictive modeling
ProsEasy to use interface, Powerful data cleaning and preparation tools, Wide range of data visualization options, Ability to predict future outcomes, Integrates with a wide range of other business intelligence tools, Affordable pricing
ConsRelatively limited customization capabilities, Complex setup, Not as easy to use as some other tools, requires SQL and data science knowledge to build the dashboards, steep-learning curve, Can be expensive
PricingFrom 15$ per viewer to 75$ per creator licensing
CapabilitiesHandles a wide variety of data types, including structured, semi-structured, and unstructured data, Performs a variety of data analysis tasks, including data cleaning, preparation, visualization, prediction, and natural language processing
Tableau feature overview

Related Article: Top 10 Best Business Intelligence Tools Comparison

4. Looker

Looker (google data studio) dashboard example screenshot

Looker dashboard screenshot from their website

Looker or Google data studio is another tool that is great alternative for enterprise companies in need for big data analytics and advanced AI modules. However, not an ideal solution for non-tech teams. Because the report setup requires SQL knowledge and architecture.

AI Features

  • AI chat analyzer
  • Dashboard generation with prompts
  • Formula generation
  • Automatic summaries and presentation creation with Google slides
FeaturesSelf-service data exploration and analysis, data visualization, enterprise data governance, data exploration and analysis through a web interface, centralized data access and control, integration with cloud data sources like Amazon Redshift, Google BigQuery, and Snowflake.
AI FeaturesNatural Language Processing (NLP), AutoML, Machine Learning, Predictive Modeling, Anomaly Detection
ProsWide range of data visualization options, Powerful AI capabilities, Integrates with a wide range of other business intelligence tools, Scalable for large datasets, Mobile version
ConsSteep learning curve, Can be expensive, Requires advanced SQL and technical knowledge, May not be as easy to use as some other data analytics tools, Not user-friendly,
PricingFreemium plan. licensing plans and package pricing plan. Starts from 5000$ per month.
CapabilitiesHandles a wide variety of data types, including structured, semi-structured, and unstructured data, Performs a variety of data analysis tasks, including data cleaning, preparation, visualization, prediction, and natural language processing
Looker feature overview

Related Article: 8 Best Business Intelligence (BI) Tools For Small Businesses

5. Microsoft Power BI

Power BI dashboard screenshot

Microsoft Power BI dashboard editing mode screenshot from their website

Of course we couldn’t exclude Power BI from this list, as this is the most used BI tool in the market. It’s a great tool for companies with big data and analytics team. However, it can be a daunting task to create a dashboard with any IT and DAX function knowledge.

AI Features

  • AI that automatically analyze and visualize data
  • AI chat, write your question and get the answer
  • Anomaly detection
  • Sentiment analysis
  • Forecasting with AI
FeatureVariety of data connections, advanced analytics capabilities using DAX functions, data transformations using PowerQuery, scheduled data refresh, integration into MS ecosystem
AI featuresForecasting with AI, Sentiment Analysis, Decomposition Tree, Key Influencers, Anomaly Detection, Natural Language Query
ProsAdvanced platform for complex analytics, many AI functions that are unique, great for big data, can connect to many data sources, cost-effective
ConsSteep learning curve, advanced knowledge in DAX function creation is necessary, missing responsiveness, limited Mac usability, dependency on MS system,
PricingStarts as low as 10$-8995$
Power BI feature overview

Related Article: 7 Best Self-Service Business Intelligence (BI) Tools

Other Alternatives

There are many tools out there, that provide different AI functionality for data analytics processes. Here’s few of them:

  • Sisense: provides some AI functionality, however, if you want to use it you must book a demo and develop the system.
  • Amplitude: provides chat, data assistant, anomaly detection, predictions and recommendations.
  • Qlik Sense: advanced analytics and automated machine learning.
  • Zoho Analytics: AI chat, AI driven insights, smart interpretation, predictive analytics, and more.


Using AI for business data analytics can help speed up tasks, identify patterns, and uncover correlations. AI data analytics tools use artificial intelligence to automate and improve the process of data analysis.

To choose the best software, consider what types of data you need to analyze, your budget, IT capabilities, and data governance requirements.

Ajelix BI, Polymer, Tableau, Looker, and Power BI are some of the AI tools available. They offer various features such as live data refreshing, easy-to-use interfaces, and powerful data visualization capabilities.

It’s crucial to decide how much you can afford to spend on a tool and how fast you need it as some tools require complex setup.

Moreover, while selecting the right AI data analytics tool is pivotal for harnessing data-driven insights, organizations seeking bespoke solutions can hire data analytics consultants through Toptal to ensure their analytics strategies are precisely aligned with their business objectives.


What are the best AI data analytics tools 2024?

These tools are best choices for AI functionality: Ajelix BI, Polymer, Tableau, Power BI, Looker

What are AI data analytics tools?

AI data analytics tools are software applications that help you analyze data and get insights to help you make data driven decisions using AI. These tools use AI to help you cleanse data, analyze, get insights, predictions, and create visualizations.

Ready to test Ajelix AI data analytics features?

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