Top-rated big data analytics tools for AI-driven insights

Looking at data on the big data analytics software category page, Databricks, Alteryx, and SAS Visual Analytics stand out as top platforms for organizations seeking AI-powered insights. These solutions combine big data processing with advanced machine learning and artificial intelligence features to help businesses make smarter, faster decisions. See below for my top software list.

1. Databricks Lakehouse Platform – is a unified platform for data engineering, machine learning, and advanced analytics. Built on Apache Spark, it enables organizations to process massive datasets and run AI-driven predictive models, all within a collaborative environment for data teams.
2. Alteryx – combines data preparation, advanced analytics, and machine learning tools into one platform. Its AI capabilities simplify predictive modeling, enabling both analysts and data scientists to generate insights without heavy coding.
3. SAS Visual Analytics – offers interactive dashboards and predictive analytics powered by AI. Enterprises use SAS to run forecasts, detect patterns, and apply advanced statistical modeling on large-scale data.
4. IBM Watson Studio – is a cloud-based platform for building and training AI models. With built-in big data processing and AutoAI features, it allows enterprises to integrate AI-driven insights directly into their decision-making workflows.
5. Microsoft Azure Synapse Analytics – integrates with Azure Machine Learning to bring AI-driven predictive capabilities into big data workflows. Teams use it to run complex queries, build models, and share real-time insights across the business.
6. Google BigQuery – is a serverless cloud data warehouse that integrates seamlessly with Google’s AI and ML tools. It allows organizations to query massive datasets in real time and apply machine learning models directly within SQL workflows.
7. Qlik Sense – provides augmented analytics powered by AI to help business users discover patterns in big data. Its associative exploration engine allows non-technical users to uncover hidden insights without complex queries.
8. TIBCO Spotfire – is an analytics platform with built-in AI and machine learning features for predictive modeling and advanced visualization. Spotfire is often used in industries like healthcare and finance where real-time insights are critical.
9. KNIME Analytics Platform – is an open-source solution that supports machine learning integrations and AI-driven workflows. It helps organizations automate predictive analytics and connect AI models directly into their business pipelines.
10. SAP Analytics Cloud – combines BI, predictive analytics, and AI-powered planning in one cloud solution. Enterprises use it to unify financial, operational, and customer data into decision-ready insights.

What do you think? Based on your experiences, are there other big data analytics tools for AI-driven insights that should be added to this list? I’d love to hear what the G2 community recommends.