- What is DataRobot
- Product Quality Score
- Main Features
- List of Benefits
- Technical Specifications
- Available Integrations
- Customer Support
- Pricing Plans
- Other Popular Software Reviews
What is DataRobot?DataRobot is a predictive analysis software used by business analysts, executives, IT professionals, and data scientists. It is considered to be enterprise-grade because it offers a powerful platform that affords its users unprecedented levels of automation. This makes machine learning tasks easier. DataRobot does this by streamlining the necessary processes surrounding the machine learning modeling lifecycle to create highly accurate predictive models faster and easier. DataRobot was created by a leading group of data scientists that collected all the best practices and knowledge in predictive analysis and machine learning and brought it to market. The platform gives users the chance to make smarter and accurate business decisions. DataRobot provides an analysis of numerous machine learning algorithms to generate, employ, and build custom-made predictive models for every situation you encounter. Users enjoy many DataRobot features such as the Hadoop cluster plug-and-play, various database certifications, automated machine learning, algorithm ecosystems, data prep, and ETL & visualization tools.
Product Quality Score
Main features of DataRobot are:
- Enterprise security integrations
- Numerous database certifications
- Distributed architecture
- Self-healing architecture
- Hadoop cluster plug and play
- Automated machine learning
- Data accuracy
- Ease of use
- Ecosystem of algorithms
- Data preparation
- ETL and visualization tools
The main benefits of DataRobot are powerful analyses, predictive models, ease of integrations, and cloud-based deployment. For more information, read about its benefits below:
Any organization that is positioning itself to become more AI-driven will find DataRobot to be a powerful and ideal predictive analysis solution. It provides enterprise-grade automated machine learning procedures that will help transition any organization into a more AI-powered enterprise. This decreases the troubles of developing a similar solution in house.
Modeling lifecycles are streamlined and automated by DataRobot. This enables users to easily and quickly develop accurate predictive models without knowing how to code.
DataRobot supports the rapid deployment of predictive models. Users can employ models to increase value creation after a few clicks. It leverages modern distributed data processing and can run multiple experiments simultaneously. This minimizes completion times of data science projects radically. Furthermore, DataRobot provides various methods for deploying finished predictive models like native and batch scoring, prediction APIs for scoring in real time, and exportable prediction code. This eliminates bottlenecks in the deployment of models.
Ease and Integration
Each model created via DataRobot publishes a REST API endpoint. This means that each model can easily integrate with current enterprise applications. You can create, use, and further customize your models to fit the precision needs of your organization regardless of scale.
DataRobot can be deployed on the web or on premises. Its cloud-based deployment is powered by Amazon Web Services (AWS). This makes its comprehensive cloud module more agile and flexible. Machine learning is made convenient. With DataRobot in the cloud, you can incur less cost for owning such a powerful solution. This eliminates traditional costs like hardware requirements, installation, computing costs, infrastructure setup, and space.
- Small business
- Medium business
The following DataRobot integrations are currently offered by the vendor:
- Google Cloud Platform
DataRobot pricing is available in the following plans: