IBM Predictive Analytics
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:
Starting from $99
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Statistical analysis and visualization
- Predictive modeling and data mining
- Decision management and deployment
- Big data analytics
- Open source integrations
Pricing Info
IBM Predictive Analytics offers a detailed enterprise pricing structure that features both quote based and subscription-based pricing. Apart from the IBM SPSS Statistics, all the other products in the suite offer subscription-based pricing.
IBM SPSS Statistics @ $99/month
IBM SPSS Modeler @ quote based
IBM SPSS Analytic Server @ quote based
IBM SPSS Predictive Analytics Enterprise @ quote based
IBM SPSS Amos @ quote based
Integrations
No information available.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
US Open, California Franchise Tax Board, First Tennessee Bank
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 flexible and scalable predictive analytics suite designed to address all aspects of the entire analytical process; data collection, planning, deployment, analysis, and reporting.
Company Email
Contact No.
Company's Address
IBM
1 New Orchard Road
Armonk, New York 10504-1722
USA
IBM Predictive Analytics Comparisons
Popular IBM Predictive Analytics Alternatives
Almost as important as functionalities and client support quality are pricing plans made available by Anaconda Enterprise and IBM Predictive Analytics. While pricing should not be the sole aspect it’s surely a significant thing to think about. You should count on a flexible pricing package that can be matched with your team size and easily scaled up every time your business expands. Be sure that you don’t opt for pricing plans that include extra functionalities that you won’t find useful and always make an effort to get in touch with the vendor directly as big companies can often count on discounts. You should also check out a free trial or demo of each app to spend at least some time using it. It’s a helpful experience that doesn’t ask you to invest any money and gives you a practical overview of what it feels like to work with Anaconda Enterprise and IBM Predictive Analytics.
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