DataRobot features a massively parallel modeling engine that can scale to hundreds or even thousands of powerful servers to explore, build and tune machine learning models. Large datasets? Wide datasets? No problem. The speed and scalability of modeling is limited only by the computational resources at DataRobot's disposal. With all this power, the work that used to take months is now finished in just hours.
Rapid deployment and integration
The best machine learning models have little to no organizational value unless they are rapidly operationalized within the business. With DataRobot, deploying models can be done with a few mouse-clicks. Plus, every model built by DataRobot publishes a REST API endpoint, making it a breeze to integrate within modern enterprise applications. You can also embed models directly into your applications with downloadable scoring code.
Robust model management and replacement
Proactively monitor and manage all deployed machine learning models, including models built outside DataRobot, from a central portal to maintain peak prediction performance. DataRobot’s embedded data science expertise can detect model decay before actual results are known, allowing you to re-train and replace models to ensure they remain accurate and consistent throughout changing market conditions.
Installation and model scoring in Hadoop
DataRobot can be installed as a service on YARN in Hadoop clusters, and perform distributed model scoring on data stored on HDFS, to bring automated machine learning to your Hadoop stack. Using Spark for large-scale data processing, DataRobot is certified compliant for data security and management. This means that DataRobot machine learning data objects and operations are visible to, and under the control of, Hadoop management processes and policies.
Now that machine learning impacts an ever-increasing number of business processes, it is no longer optional to treat it as a developer's tool with minimal security, privacy and business continuity safeguards. In fact, it is critical that a platform for building and deploying models is hardened, trusted and integrated with the ecosystem of technologies within an organization.
DataRobot is deployed by some of the largest Fortune 100 organizations around the world. Features that make DataRobot truly enterprise grade include:
- “Four nines” of availability (99.99%)
- Distributed and self-healing architecture
- Seamless integration with enterprise security technologies
- Hadoop cluster plug-and-play
- Multiple popular database certifications