Compare the Top AI Data Analytics Tools that integrate with R as of October 2025

This a list of AI Data Analytics tools that integrate with R. Use the filters on the left to add additional filters for products that have integrations with R. View the products that work with R in the table below.

What are AI Data Analytics Tools for R?

AI data analytics tools are AI-powered software tools designed to analyze large datasets and identify patterns. They can be used for a wide range of tasks such as predicting customer demand, detecting fraud, or spotting trends in sales data.These tools typically use machine learning algorithms that enable them to adjust their predictions and recommendations over time.They also tend to be integrated with common business systems such as ERP or CRM software. Compare and read user reviews of the best AI Data Analytics tools for R currently available using the table below. This list is updated regularly.

  • 1
    DataLab

    DataLab

    DataLab

    From CSV files and Google Sheets, data to Snowflake and BigQuery, DataLab seamlessly and securely connects to all of your data sources. DataLab’s AI Assistant scans the structure of your data, analyzes your previous activity, and leverages industry best practices to answer your questions with best-in-class accuracy. To ensure that you can fully trust the insights you’re uncovering, DataLab’s AI Assistant writes and runs code that you can seamlessly review, tweak, and share. Share work insights without exposing credentials or sensitive information. All data is encrypted at rest and in transit. Enjoy single sign-on via SAML or OIDC connections and sync your directory. Decide which users can take which actions within DataLab, and can access which workbooks and data assets. Our mission is to democratize data and AI skills for everyone. Companies and teams of every size use DataCamp to close their skill gaps and make better data-driven decisions.
    Starting Price: $4.92 per month
  • 2
    Algoreus

    Algoreus

    Turium AI

    All your data needs are delivered in one powerful platform. From data ingestion/integration, transformation, and storage to knowledge catalog, graph networks, data analytics, governance, monitoring, and, sharing. ​ An AI/ML platform that lets enterprises, train, test, troubleshoot, deploy, and govern models at scale to boost productivity while maintaining model performance in production with confidence. A dedicated solution for training models with minimal effort through AutoML or training your case-specific models from scratch with CustomML. Giving you the power to connect essential logic from ML with data. An integrated exploration of possible actions.​ Integration with your protocols and authorization models​. Propagation by default; extreme configurability at your service​. Leverage internal lineage system, for alerting and impact analysis​. Interwoven with the security paradigm; provides immutable tracking​.
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