Anaconda Enterprise
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Predictive Modeling
- Accurate Analytics
- Platform-Level Solution
- Server-Level Solution
- Custom ML Algorithm
- Data Preparation
- Advanced Monitoring Tools
- Automated Model Updating
- Data Science Team
- Compliant Decision Making
- Documentation
- Training
- API Integration
Pricing Info
Pricing Info
Plat.AI’s enterprise pricing information is available only on request.
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
Plat.AI is an AI service that helps in the development and management of predictive models for companies to make better marketing, financial, and media forecasts and decisions.
Company Email
Contact No.
Company's Address
Plat, LLC.
550 N Brand Blvd., 20th Floor, Glendale, California 91203
USA
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Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Collaboration
- Integrated Jupyter Data Science Environements
- Browser-Based Notebook Collaboration
- Versioning and Access Control
- Manage and Share Data Science Projects and Dependencies
- Scalable
- Scalable Distribution of Computational Resources
- Distribute Anaconda Libraries across Hadoop and Spark Clusters
- Self-Service Deployment of Models, Notebooks, and Dashboards
- One-Click Deployment
- Remote Deployment to Hadoop or Spark Clusters
- On-Premise And Cloud Deployments
- Governance
- On-Premise Data Science Package Repository
- Control Packages, Versions, and Tools
- License Filtering and Auditing
- Event Logging and Tracking
- Security
- Integration with Identity Providers
- TLS/SSL Encryption
- Centralized User, Role, or Group-Based Access Control Management and Confuguration
- Token-Based Access to Data Science Models and Applications
Pricing Info
Anaconda Enterprise’s SMB and enterprise pricing plan information is available only upon request. Please contact the sales team. and get your quote.
Integrations
Anaconda Enterprise supports integration with the following big data frameworks, data management solutions, identity providers, and cloud services:
- Jupyter Notebooks
- JupyterLab
- Cloudera
- Hortonworks
- LDAP
- Active Directory
- SAML
- Kerberos
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
General Electric
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 modern, dynamic, and industry-leading data science solution that helps data scientists, data analysts, and teams build, govern, and automate machine-learning data science models and pipelines across compute and server clusters; providing them with the ability to share models, resources, browser-based notebooks, and dashboards though integrated data science environments, collaborate on their projects in real time, and facilitate deployments.
Company Email
info@anaconda.com
Contact No.
Company's Address
Anaconda, Inc.
221 W. 6th St, Suite 1550
Austin, Texas 78701
USA
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Please keep in mind that even though both Plat.AI and Anaconda Enterprise may have an outstanding set of features each app could be created for a different company size. If you are analyzing various solutions you may want to give some attention to a business type they are catering to. Some elements may scale up with no problem for large enterprises but if you run a small or medium business it’s usually more sensible to refrain paying for complex features that you may never have a chance to use.
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