Azure Machine Learning Studio
NOAWARDS
YET
Pricing:
Starting from $9.99
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Drag-and-Drop Function
- Projects
- Notebooks
- Datasets
- Modules
- Trained Models
- Experiments
- Experiment Conversion
- Web Service Publishing
- Cortana Intelligence Suite
- Cortana Intelligence Gallery
- APIs
Pricing Info
Pricing Info
Azure Machine Learning Studio offers the following enterprise pricing packages for users to choose from. Give the details a look, and select the best plan for your business.
Free – $0
- 100 Modules per Experiment
- 1 Hour per Experiment
- 10 GB Storage Space
- Single Node Execution/Performance
Standard – $9.99/seat/month
- $1 per Studio Experimentation Hour
- Unlimited Modules per Experiment
- Up to 7 Days per Experiment, 24 Hours per Module
- Unlimited – BYO Storage Space
- On-Premises SQL Data Processing
- Multiple Nodes Execution/Performance
- Production Web API
- SLA
Integrations
Integrations
Azure Machine Learning Studio offers APIs for developers’ use. For more information, contact support or get in touch with the community.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Mendeley, Rockwell Automation, Stanford’s SLAC National Accelerator Laboratory
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
A cloud-based interactive programming tool for predictive analytics from Microsoft. Azure Machine Learning Studio offers access to Cortana Intelligence Suite and gallery, AI algorithm library, and more. Its easy to use interface utilizes drag and drop actions. Despite being cloud-based, this machine learning solution provides offline access to its users.
Company Email
Contact No.
Company's Address
Microsoft Azure
1 Microsoft Way
Redmond, WA 98052
USA
Azure Machine Learning Studio Comparisons
Popular Azure Machine Learning Studio Alternatives
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Visual User Interface
- RBLang Intuitive Language
- Flexible Rule Engine
- Evidence Tree
- Knowledge Maps
- API Integration
- One-Click Publishing
- Learning Algorithms
- Linked Knowledge
- Contextual Interactions
Pricing Info
Rainbird has two components: Rainbird Authoring Platform and Rainbird Cognitive Reasoning Engine. They are licensed individually. Interested parties can choose between their enterprise pricing packages for Operational Use License and Fee-Based License. There are also on-premise licenses available as well as discounts for educational institutions and charities. For more information and to request a quote, contact sales via email, web form, or telephone.
Integrations
Because Rainbird is built on an open architecture, any model created with the platform can be published as an API for seamless integration with third-party software. Rainbird Knowledge Maps are also enabled for smooth connections with third-party systems.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Fluid Motion, IBM Watson, Taylor Wessing
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
An AI-driven and automated cognitive reasoning platform that lets organizations apply only the best decision-making practices at scale.
Company Email
engage@rainbird.ai
Contact No.
Company's Address
Rainbird
5001, WeWork Aldgate Tower,
2 Leman Street, London, E1 8FA
UK
Rainbird Comparisons
Popular Rainbird Alternatives
All the data, information and experiences that we offered in this table were taken from official vendor websites, promotional materials available online, real-life experience from real customers as well as our own direct use of every app by an expert. We do our best to comprehensively examine every service, so we not only study it on our own, but we also compare our results with experiences of other users from the SaaS community.
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