Platform Comparison

ML Framework vs Complete Data Platform

ML.NET excels at machine learning models. Datafication combines that power with data processing, visualization, and enterprise features for end-to-end data applications.

Machine Learning Excellence

🧠 Powerful ML algorithms: classification, regression, clustering
🏗️ Model training, evaluation, and deployment pipelines
🌐 Cross-platform support and .NET ecosystem integration
📊 Built-in data transformations and feature engineering

Datafication's Unified Approach

📊 Complete Pipeline: Data ingestion + ML + visualization in one platform
🏢 Enterprise Features: Licensing, caching, authentication, and support
📈 Instant Charts: Built-in ApexCharts and Google Charts integration
🔗 Data Connectors: CSV, JSON, Parquet, databases, APIs - all included

Data to Insights in Minutes

End-to-End Workflow

// Complete ML workflow with visualization
var data = await DataBlock.Connector.LoadCsvAsync("sales-data.csv");
var features = data.SelectColumns("Price", "Category", "Region");
var mlModel = new DataBlockMLModel("regression");
await mlModel.TrainAsync(features, "Revenue");
var predictions = await mlModel.PredictAsync(features);
var chart = predictions.ApexLineChart("Revenue Predictions");

ML.NET: Powerful machine learning capabilities for .NET developers. Datafication: ML.NET's power + data processing + visualization + enterprise features.

Choose ML.NET When

🎯 Pure ML Focus: Building dedicated machine learning applications
🔬 Research & Experimentation: Need fine-grained control over ML algorithms
🆓 Open Source: Prefer Microsoft's free ML framework
🧪 Custom Models: Building specialized ML solutions from scratch

Choose Datafication When

🌐 Data-as-a-Service: Turn ML models and data into instant REST APIs
🏢 Business Applications: Building complete data-driven applications
📊 Full Stack Solution: Need data processing + APIs + ML + visualization together
🎯 Enterprise Ready: Require JWT auth, licensing, support, and commercial features