Top 20 Alternatives to Azure Machine Learning (Forecasting) in Forecasting Software

Fully managed service that uses machine learning to deliver accurate demand forecasts; integrates with AWS data sources and supports custom predictors.

Google Cloud’s AutoML‑based forecasting solution that automates feature engineering, model selection, and scaling for time‑series data.

Enterprise AI platform with a dedicated forecasting module; offers automated model building, hyper‑parameter tuning, and model monitoring.

AutoML platform that includes time‑series forecasting, automatic feature engineering, and explainable AI visualizations.

Open‑source library for producing high‑quality forecasts with minimal data‑science effort; works well with daily, weekly, and yearly seasonality.

Comprehensive suite for demand planning and forecasting, featuring advanced statistical models, scenario analysis, and enterprise‑grade governance.

AutoAI component of Watson Studio automates model selection and hyper‑parameter optimization for time‑series forecasting.

Cloud‑based planning suite that includes demand forecasting, inventory optimization, and supply‑chain analytics.

Oracle Cloud Infrastructure service that automates feature engineering, model training, and deployment for forecasting workloads.

Analytics platform offering time‑series modeling, ARIMA, exponential smoothing, and automated forecasting workflows.

Self‑service analytics platform with built‑in forecasting tools, drag‑and‑drop workflow creation, and integration with major data sources.

Open‑source and enterprise data‑science platform that includes time‑series operators for forecasting and model monitoring.

Modular data‑pipeline tool with extensions for time‑series analysis, ARIMA, Prophet, and deep‑learning based forecasting.

Cloud‑based machine‑learning service offering automated time‑series forecasting, anomaly detection, and model explainability.

Leverages Snowflake’s data warehouse to build and run forecasting models directly where the data lives, using Python, Scala, or Java.

AI‑driven anomaly detection and forecasting platform focused on real‑time monitoring of business metrics.

Self‑service BI tool with built‑in forecasting functions (ARIMA, exponential smoothing) and interactive visual analytics.

Data‑visualization platform that supports forecasting via built‑in statistical models and integrates with Python/R for custom models.

Microsoft’s analytics service offering time‑series forecasting through built‑in analytics and integration with Azure ML models.

Specialized weather‑forecast API that can be combined with other data sources for demand or supply‑chain forecasting.