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Average Ratings 0 Ratings
Description
Easily distribute data of any format and size from various sources to other organizations while maintaining full control over what you share, who receives it, and the associated terms of use. The Data Share platform offers complete transparency regarding your data-sharing connections through a user-friendly interface, allowing you to share information with just a few clicks or create a custom application via the REST API. This serverless, code-free data-sharing solution eliminates the need for infrastructure setup or management, providing an intuitive interface to oversee all your data-sharing interactions. With automated processes in place, you can achieve greater productivity and predictability in your operations. The service ensures data security by leveraging Azure's robust security measures, enabling the sharing of both structured and unstructured data from a variety of Azure data stores effortlessly. Furthermore, there’s no need for SAS keys, and sharing is entirely code-free, allowing you to dictate data access and define terms of use that comply with your enterprise policies seamlessly. With this tool, organizations can foster collaboration while safeguarding their data integrity and compliance.
Description
MLReef allows domain specialists and data scientists to collaborate securely through a blend of coding and no-coding methods. This results in a remarkable 75% boost in productivity, as teams can distribute workloads more effectively. Consequently, organizations are able to expedite the completion of numerous machine learning projects. By facilitating collaboration on a unified platform, MLReef eliminates all unnecessary back-and-forth communication. The system operates on your premises, ensuring complete reproducibility and continuity of work, allowing for easy rebuilding whenever needed. It also integrates with established git repositories, enabling the creation of AI modules that are not only explorative but also versioned and interoperable. The AI modules developed by your team can be transformed into user-friendly drag-and-drop components that are customizable and easily managed within your organization. Moreover, handling data often necessitates specialized expertise that a single data scientist might not possess, making MLReef an invaluable asset by empowering field experts to take on data processing tasks, which simplifies complexities and enhances overall workflow efficiency. This collaborative environment ensures that all team members can contribute to the process effectively, further amplifying the benefits of shared knowledge and skill sets.
API Access
Has API
API Access
Has API
Integrations
Azure Blob Storage
Azure Data Lake Storage
Azure Marketplace
Azure SQL Database
Azure Synapse Analytics
Bobsled
Docker
Keras
MXNet
Microsoft Azure
Integrations
Azure Blob Storage
Azure Data Lake Storage
Azure Marketplace
Azure SQL Database
Azure Synapse Analytics
Bobsled
Docker
Keras
MXNet
Microsoft Azure
Pricing Details
$0.05 per dataset-snapshot
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/data-share
Vendor Details
Company Name
MLReef
Country
United States
Website
www.mlreef.com
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization