Deploy your machine learning diversity of sckit-learn, Spark ML, TensorFlow, fastText, xgboost models as end-to-end prediction pipelines. Power smart applications for your users with realtime serving REST API.
Hydrosphere.io reduces engineering and operations burden and improves time to value metrics for data science projects.
Gain end-to-end quality of your data transformation, training, and prediction pipelines to identify the data quality issues, side effects and model degradation trends before they start affecting your business.
Hydrosphere.io provides anomaly detection and pattern recognition components designed for the data and machine learning heavy applications monitoring. It has a great improving impact on the customer experience and the reliability of your data driven business.
Make your Spark operations serverless for data scientists, engineers, and multi-tenant applications. Hydrosphere.io increases the reliability of your Spark jobs, thereby saving the cluster resources and increasing the productivity of data scientists and engineers.