Best AI Data Analytics Tools & Software in 2026 (Free & Paid)
AI tools for data science, analytics, visualization, and spreadsheet automation. Explore 272 high-quality AI tools, software and services for AI Data Analytics. including Microsoft Knowledge Exploration, PostgresML, PandasAI, Sketch
SAP Software Solutions empower businesses to become intelligent, sustainable enterprises through integrated cloud applications, real-time data, and industry-specific innovation.
Sparkco Sheets: Transform text and documents into Excel models with AI-powered automation and real-time data sync.
OpalAI: Transform complex data into actionable insights with advanced AI tools for video analysis, 3D modeling, and more.
Kolosal Planout simplifies the process of turning multi-modal data into a form that AI can process efficiently, making it a must-have tool for data scientists, researchers, and more.
Twilio Segment unifies and activates your customer data, providing a 360-degree view for better personalization and data-driven decisions.
ClickHouse is a fast, open-source OLAP database for real-time analytics, offering high performance and cost efficiency.
Kaggle is the world’s largest data science community, offering competitions, datasets, and learning resources to help you achieve your data science goals.
nao is the AI data editor that streamlines data workflows, offering AI-powered auto-complete, data quality checks, and seamless integration with multiple data warehouses.
Elastic is a versatile search AI platform that delivers fast, relevant results and enhances security, observability, and more, driving business outcomes.
Querio is the data platform that empowers teams and customers to explore and visualize data with agentic notebooks, delivering instant, accurate insights.
Supersimple is a self-service BI platform that empowers B2B SaaS teams to make data-driven decisions with ease. Its AI-powered insights and zero-code interface make it accessible to everyone, from product managers to data teams.
Amazon SageMaker simplifies machine learning with unified tools for data, analytics, and AI, making it easy to build, train, and deploy models.