Deploying Machine Learning is Too Hard
Putting machine learning models into production is too hard. Disconnect between Data Scientists and Data Engineers, managing multiple languages and frameworks, and administering container endpoints means that models take months to go into production, if at all.
Database Model Deployment is the fastest and easiest way to deploy machine learning. Using simple SQL, you can deploy your model as an intelligent table inside of our database. When data is inserted, a prediction is automatically generated and stored in that same database table.