Top 10 Alternatives to KNIME Recently Reviewed By G2 Community
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Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
Dataiku is the Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents.
Turn data into action at scale with human and agent collaboration. AND Scale data-driven insights with complete operational confidence. AND Deploy visual, self-service analytics with unmatched control and flexibility.
RapidMiner is a powerful, easy to use and intuitive graphical user interface for the design of analytic processes. Let the Wisdom of Crowds and recommendations from the RapidMiner community guide your way. And you can easily reuse your R and Python code.
In addition to our open-source data science software, RStudio produces RStudio Team, a unique, modular platform of enterprise-ready professional software products that enable teams to adopt R, Python, and other open-source data science software at scale.
Domo is an agentic platform for the intelligent enterprise that helps organizations build, manage, and distribute AI-powered solutions using governed business data. The platform brings together three core capabilities: a data foundation to connect and govern enterprise data, an activation layer to build AI agents, apps, workflows, and analytics, and a distribution layer to deliver intelligence where people work. Designed for enterprises, Domo works with existing cloud data platforms such as Snowflake, BigQuery, and Databricks, as well as other business systems and apps. Organizations use Domo to connect data from across their business, apply governance and security controls, build AI-powered solutions, and deliver insights through dashboards, embedded apps, mobile experiences, and AI assistants. Domo combines three core capabilities: data foundation, activation, and distribution: 1. The data foundation connects and governs enterprise data across cloud data platforms and business systems. 2. The activation layer enables teams to build AI agents, apps, workflows, automations, and analytics on top of governed data. 3. The distribution layer delivers intelligence where users work, including dashboards, embedded apps, mobile experiences, and AI assistants using Model Context Protocol (MCP). Governance, security, and access controls support all three layers to help organizations scale AI and data initiatives with trust. Common use cases for Domo include AI agents and apps, business intelligence, operational analytics, executive reporting, embedded analytics, AI-powered workflows, and custom data apps. The platform supports both technical teams and business users with low-code and pro-code development options for building and sharing AI-powered solutions across the enterprise.
IBM SPSS Statistics is an integrated family of products that addresses the entire analytical process, from planning to data collection to analysis, reporting and deployment.
Qlik Sense is a revolutionary self-service data visualization and discovery application designed for individuals, groups and organizations.
Self-service data discovery. Fastest to actionable insight. Collaborative, predictive, event-driven data analysis - free from IT.
Making big data simple