Anaconda Enterprise
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
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
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
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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Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Predictive Analytics
- Prescriptive Analytics
- Data Science Services
- Data Completeness
- Relationship Analytics
Pricing Info
Pricing & an ROI calculator can be found at: https://www.saleschoice.com/saleschoice-pricing/
Book a demo to see what you get at: https://www.saleschoice.com/contact-us/
Integrations
SalesChoice integrates with Salesforce, and has an open API for custom integration with other CRMs. Contact us to learn more at: https://www.saleschoice.com/contact-us/
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Innovatia, WorldLynx, Blackberry
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
SalesChoice helps companies improve their sales profitability and business performance by using advanced AI/ML predictive and prescriptive analytic methods.
Company Email
cindy@saleschoice.com
Contact No.
Company's Address
333 Bay Street, Suite 1700
Bay-Adelaide Centre,
Toronto, Ontario
Canada
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All the data, details and statistics that we shared in this analysis were collated from official vendor sites, advertising content available online, actual experience from real clients as well as our own hands-on use of every service by an expert. We do our best to comprehensively examine each product, therefore we not only analyze it on our own, but we also compare our findings with opinions of other users from the B2B community.
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