Microsoft 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
- Predictive modeling
- Anomaly detection
- Intuitive graphical interface
- Support for R scripts
- Drag and drop technique for building experiments
- Valuable documentation
- Text analytic support
- High-performance computing
- Disaster recovery
Pricing Info
Pricing Info
Microsoft Azure Machine Learning Studio offers a two-tier enterprise pricing structure:
Free @ free
- 100 modules per experiment
- 1 hour per experiment
- 10GB storage space
- Single node
Standard @ $9.99/seat/month and $1/studion experimentation hour
- Requires Azure subscription
- Unlimited modules per experiment
- Up to 7 days per experiment
- Unlimited storage space
- Read data from On-premise SQL
- Multiple Nodes
- Production Web API
- SLA
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Mendeley, Rockwell Automation, SLAC
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
Redmond, WA
Microsoft Azure Machine Learning Studio Comparisons
Popular Microsoft Azure Machine Learning Studio Alternatives
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Scalable, single, and fully-integrated enterprise application
- Visual analytics for large-scale distributed data sources
- Seamless integration with Spark
- In-memory execution on Spark
- Advanced modeling in Big Data frameworks via Spark
- Support for object stores, distributed file systems, network shares, and other enterprise data repositories
- (Amazon S3, HDFS, Hive, Network File Servers, FTP Servers, Hadoop Archives, etc.)
- Powerful Segmentation, Strategy Design and Visualization
- Access any type of distributed storage supported by Apache Spark
- Deploy and evaluate models in Big Data environments
- Deploy multiple projects in parallel
- Deploy on existing Hadoop clusters
- Automated scheduled scoring
Pricing Info
Contact Datawatch Angoss for more basic and enterprise pricing information KnowledgeENTERPRISE. You may also sign up for a demo to see if the software is a perfect fit for your business.
Integrations
KnowledgeENTERPRISE integrates with the following business systems and applications:
- Spark
- Hive
- Parquet
- ORC
- Avro
- Jupyter Notebook
- Hadoop
- Amazon S3
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
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
KnowledgeENTERPRISE is Angoss’ advanced analytics software on Spark framework that provides businesses with unprecedented analytics and data processing capabilities that overcome challenges in Big Data access and insight discovery.
Company Email
info@angoss.com
Contact No.
Company's Address
Angoss Software Corporation
330 Bay St Suite 200, Toronto
ON M5H 2S8
Canada
KnowledgeENTERPRISE Comparisons
Popular KnowledgeENTERPRISE Alternatives
In case you continue having doubts about which software will be best in your case it might be a sound idea to examine each service’s social metrics. These metrics are frequently an indicator of how popular each software is and how wide is its online presence. For example, in case of Facebook Microsoft Azure Machine Learning Studio has 539410 likes on their official profile while KnowledgeENTERPRISE profile is liked by 0 people.
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