How it works

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Most Data Science projects DON’T go beyond Proof-of-Concept delivered as Hosted Notebook.

Hydrosphere.io reduces significant DevOps and Engineering overhead required to move from research to production deployment and sustenance.

1.

HOW ARE MACHINE LEARNING MODELS USED IN ONLINE APPLICATIONS?

HYDROSPHERE.IO SERVES YOUR USERS IN REAL TIME

It exposes Spark MLLib, Scikit-learn, TensorFlow machine learning models as real time low latency web services for the rest of the world. It chains multiple models into a single pipeline and provides an API for web developers.

2.

DO YOU NEED TO PROCESS/REACT TO ANALYTICS INSIGHTS AS THEY ARRIVE?

HYDROSPHERE.IO SERVES IN REACTIVE STREAMS

It enables reactive architecture by streaming analytics insights from Apache Spark jobs into the application layer. It re-uses the same machine learning code base for offline, real time and streaming use cases.

3.

DO PROJECT TIMINGS SUFFER FROM ENDLESS HANDOFFS BETWEEN DATA SCIENTISTS, ENGINEERS AND OPERATIONS?

HYDROSPHERE.IO CAN HELP THIS ISSUE BY DEPLOYING CONTINUOUSLY

Break the barrier between experimentation and production big data environments. Deliver your data pipelines and machine learning models into operations continuously and reliably. It has everything for a single workspace for a data scientist.

4.

HOW DO YOU VALIDATE IF A NEW PREDICTION PIPELINE IS BETTER OR WORSE THAN THE EXISTING ONE?

HYDROSPHERE.IO TESTS IN PRODUCTION

Test and score new models and data pipelines in A/B and Canary fashion to ensure it performs as expected on real data and a real workload. Receive continuous feedback from Hydrosphere.io to iterate multiple times a day.

5.

DO YOU STRUGGLE TO UNDERSTAND WHEN AND WHY YOUR MODEL STARTED TO LOSE MONEY?

HYDROSPHERE.IO MONITORS PROACTIVELY

Data drifts and the machine learning models lifetime is limited. Hydrosphere.io correlates and analyzes model metrics and business signals to catch data quality and model degradation issues. It also incorporates monitoring insights into the day-to-day workflow of the data scientist.

Landscape

Hydrosphere.io products work with any Hadoop or Spark distribution. They can be deployed on any vendor’s public cloud or in private clouds.

Cloud providers

Cluster managers

Hadoop distributions

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