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See user reviews of Oracle DataScience
As a data analytics startup, DataScience received rave reviews from customers. Now that it is part of Oracle and in the process of being integrated into the Oracle Cloud, the jury is still out on how well the finished project offer predictive analytics capabilities. In theory, however, it looks promising as it will combine DataScience’s notebook-based, code-first data science capabilities with Oracle’s cloud services.
Significantly, it will likely be a good choice for organizations with experienced data science teams who rely heavily on open source tools. This is a key niche in the enterprise market.
Acquired by Oracle in 2018, DataScience, is a cloud-based big data and machine learning platform that includes predictive analytics capabilities. Currently, Oracle is transitioning the service to a new product it calls Oracle Data Science Cloud. Eventually, the platform will integrate tightly with Oracle’s other cloud-based data and analytics solutions, including Oracle Data Integration Platform Cloud Service, Oracle Analytics Cloud and Oracle Big Data Platform.
Forrester named Oracle a Leader in notebook-based predictive analytics and machine learning.
- Project-based user interface to enhance collaboration
- Self-driving machine learning
- Integrates with open source tools
- Enterprise-grad performance
- Version control
- Use case templates
- Access controls and security
Python, Plotly, Matplotlib, Bokeh, TensorFlow, scikit-learn, other open source projects, other Oracle cloud services.
Enterprises in the automotive, communications, construction and engineering, financial services, food and beverage, healthcare, hospitality, industrial manufacturing, retail and utilities industries, as well as higher education and public sector organizations.
Pricing and How to Buy
Oracle is still transitioning DataScience to its own cloud platform. While it is continuing to service existing DataScience customers, the Oracle Data Science Cloud service is listed as “coming soon,” and pricing is not available.
Oracle DataScience Features Chart
|Key Features||• Project-based user interface to enhance collaboration
• Self-driving machine learning
• Integrates with open source tools
• Enterprise-grad performance
• Version control
• Use case templates
|Integrations||Python, Plotly, Matplotlib, Bokeh, TensorFlow, scikit-learn, other open source projects, other Oracle cloud services|
|Target Market||Enterprises in the automotive, communications, construction and engineering, financial services, food and beverage, healthcare, hospitality, industrial manufacturing, retail and utilities industries, as well as higher education and public sector organizations|