Microsoft Azure Machine Learning Studio
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Connectivity
- Data Wrangling
- Machine Learning
- Data Mining
- Data Visualization
- Data Flow
- Models In Production
- Workflows Deployment
- Code Or Click
- Collaboration
- Governance and Security
Pricing Info
Pricing Info
Details on SMB and enterprise pricing for Dataiku DSS are not publicly available. Interested buyers may contact a sales representative to request for a customized quotation.
Integrations
Integrations
Dataiku DSS integrates with the following business systems and applications:
- Algolia Search
- Amazon Redshif
- Amazon S3
- Cassandra
- CSV
- ElasticSearch
- EMC Greenplum
- Exadata
- Freshdesk
- FTP / HTTP / SCP / SFTP
- GeoJSON
- Github
- Google Sheets
- Hadoop
- Hipchat
- HP Vertica
- Import.io
- JSON
- MongoDB
- MS Excel
- MS Power BI
- MS SQL Server
- MySQL
- OpenStreetMap
- Oracle
- Pipedrive
- PostgreSQL
- SAS
- Shapefile
- Tableau
- Teradata
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Unilever, Loreal, Sephora
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 collaborative data science platform designed to help scientists, analysts, and engineers explore, prototype, build, and deliver their own data products with maximum efficiency.
Company Email
Contact No.
Company's Address
Dataiku Headquarters
26 Broadway (22nd Floor)
New York, NY 10004
USA
Dataiku DSS Comparisons
Popular Dataiku DSS Alternatives
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Pricing:
Starting from $9.99
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
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
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
Integrations
No info available.
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
No Predictive Analysis Software will be perfect enough to cater to all the requirements of a business. While main functionalities of Dataiku DSS and Microsoft Azure Machine Learning Studio are obviously a priority you should also carefully analyze the integrations offered by a given software. Quote frequently your team will already be using other types of B2B software in your company and it’s much wiser to opt for solutions that integrate well with one another. If you do that you can guarantee an effortless transfer of data between your teams and services, which can considerably reduce time spent on migrating between one solution and the next.
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