Alternatives to Automated machine learning (AutoML)
12 enterprise-ready predictive analytics tools comparable to Automated machine learning (AutoML), ranked by Xither's Enterprise Readiness score (compliance, deployment options, integration surface, and operational track record).
How the top alternatives to Automated machine learning (AutoML) compare
| Tool | Readiness | Pricing | Compliance | Deployment | Founded |
|---|---|---|---|---|---|
| Automated machine learning (AutoML) (baseline) | 50 / 100 · Established | Paid | None listed | Cloud, Hybrid | — |
| Celonis Process Intelligence | 70 / 100 · Strong | Enterprise | None listed | Cloud, On-Premise, Hybrid | 2011 |
| Dataiku DSS | 70 / 100 · Strong | Enterprise | None listed | Cloud, On-Premise, Hybrid | 2013 |
| DataBricks AutoML | 68 / 100 · Strong | Enterprise | None listed | Cloud, Hybrid, Self-Hosted | 2013 |
| Rapidminer | 67 / 100 · Strong | Freemium | None listed | Cloud, On-Premise, Hybrid | 2007 |
| KNIME Analytics | 66 / 100 · Strong | Free | None listed | On-Premise, Hybrid, Self-Hosted | 2004 |
| Alteryx Designer | 62 / 100 · Established | Paid | None listed | Cloud, On-Premise, Hybrid | 1997 |
Celonis Process Intelligence — scores 70 on Enterprise Readiness against Automated machine learning (AutoML)'s 50, is priced enterprise where Automated machine learning (AutoML) is paid, and offers on-premise deployment.
Dataiku DSS — scores 70 on Enterprise Readiness against Automated machine learning (AutoML)'s 50, is priced enterprise where Automated machine learning (AutoML) is paid, and offers on-premise deployment.
DataBricks AutoML — scores 68 on Enterprise Readiness against Automated machine learning (AutoML)'s 50, is priced enterprise where Automated machine learning (AutoML) is paid, and offers self-hosted deployment.
Rapidminer — scores 67 on Enterprise Readiness against Automated machine learning (AutoML)'s 50, is priced freemium where Automated machine learning (AutoML) is paid, and offers on-premise deployment.
KNIME Analytics — scores 66 on Enterprise Readiness against Automated machine learning (AutoML)'s 50, is priced free where Automated machine learning (AutoML) is paid, and offers on-premise / self-hosted deployment.
Alteryx Designer — scores 62 on Enterprise Readiness against Automated machine learning (AutoML)'s 50, and offers on-premise deployment.
All Automated machine learning (AutoML) alternatives
Celonis Process Intelligence
www.celonis.com/
Celonis Process Intelligence provides a Context Model that combines process data, business knowledge, and intelligence for Enterprise AI.
Dataiku DSS
www.dataiku.com/product
Dataiku is a platform that unifies analytics, models, and AI agents within a single governed system for enterprise AI.
DataBricks AutoML
www.databricks.com/product/automl
A tool that generates baseline machine learning models and notebooks for classification, regression, and forecasting problems.
Rapidminer
rapidminer.com/products/studio
Enterprise AI and analytics solution for data preparation, machine learning, knowledge graphs, and GenAI.
KNIME Analytics
www.knime.com/knime-analytics-platform
KNIME Analytics Platform is a free, open-source, and extensible tool for data science with optional coding.
Alteryx Designer
alteryx.com/products/alteryx-designer
Data preparation and analytics automation platform with drag-and-drop tools.
Board AI Planning
www.board.com/ai
Unified predictive analytics and planning platform for enterprise-scale decision making.
JedoxAI
www.jedox.com/en/platform/ai/
Multi-agent intelligence engine for financial planning, forecasting, and performance management.
Pecan AI
www.pecan.ai/
Pecan AI provides predictive AI for business teams, delivering quick and validated predictions for churn, demand, and revenue.
6sense
6sense.com
AI-driven predictive analytics to uncover revenue opportunities at scale
Bombora AI
bombora.com
Predictive intent data analytics to accelerate B2B revenue growth at scale
Braze AI
www.braze.com/
Braze is a customer engagement platform that uses AI for cross-channel messaging, journey orchestration, decisioning, and optimization.