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Ratings and Reviews 0 Ratings
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What is Oracle Machine Learning?
Machine learning uncovers hidden patterns and important insights within company data, ultimately providing substantial benefits to organizations. Oracle Machine Learning simplifies the creation and implementation of machine learning models for data scientists by reducing data movement, integrating AutoML capabilities, and making deployment more straightforward. This improvement enhances the productivity of both data scientists and developers while also shortening the learning curve, thanks to the intuitive Apache Zeppelin notebook technology built on open source principles. These notebooks support various programming languages such as SQL, PL/SQL, Python, and markdown tailored for Oracle Autonomous Database, allowing users to work with their preferred programming languages while developing models. In addition, a no-code interface that utilizes AutoML on the Autonomous Database makes it easier for both data scientists and non-experts to take advantage of powerful in-database algorithms for tasks such as classification and regression analysis. Moreover, data scientists enjoy a hassle-free model deployment experience through the integrated Oracle Machine Learning AutoML User Interface, facilitating a seamless transition from model development to practical application. This comprehensive strategy not only enhances operational efficiency but also makes machine learning accessible to a wider range of users within the organization, fostering a culture of data-driven decision-making. By leveraging these tools, businesses can maximize their data assets and drive innovation.
What is MLReef?
MLReef provides a secure platform for domain experts and data scientists to work together using both coding and no-coding approaches. This innovative collaboration leads to an impressive 75% increase in productivity, allowing teams to manage their workloads more efficiently. As a result, organizations can accelerate the execution of a variety of machine learning initiatives. By offering a centralized platform for collaboration, MLReef removes unnecessary communication hurdles, streamlining the process. The system is designed to operate on your premises, guaranteeing complete reproducibility and continuity, which makes it easy to rebuild projects as needed. Additionally, it seamlessly integrates with existing git repositories, enabling the development of AI modules that are both exploratory and capable of versioning and interoperability. The AI modules created by your team can be easily converted into user-friendly drag-and-drop components that are customizable and manageable within your organization. Furthermore, dealing with data typically requires a level of specialized knowledge that a single data scientist may lack, thus making MLReef a crucial tool that empowers domain experts to handle data processing tasks. This capability simplifies complex processes and significantly improves overall workflow efficiency. Ultimately, this collaborative framework not only ensures effective contributions from all team members but also enhances the collective knowledge and skill sets of the organization, fostering a more innovative environment.
Integrations Supported
Apache Hive
Apache Spark
Docker
Impala
Keras
Kinetica
MXNet
MySQL
Oracle Cloud Infrastructure
Oracle Database
Integrations Supported
Apache Hive
Apache Spark
Docker
Impala
Keras
Kinetica
MXNet
MySQL
Oracle Cloud Infrastructure
Oracle Database
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Oracle
Date Founded
1977
Company Location
United States
Company Website
www.oracle.com/data-science/machine-learning/
Company Facts
Organization Name
MLReef
Company Location
United States
Company Website
www.mlreef.com
Categories and Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Categories and Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization