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
Anaconda Enterprise Comparisons
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Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Predictive Analytics
- Data Access and Preparation
- Native Distributed Analytical Architecture (NDAA)
- Real-time Big-data Answers
- Analytics security and governance
- Open, Flexible, Extensible
Pricing Info
Exact SMB and enterprise pricing for Tibco Statistica provided on a quotation basis, with package inclusions as follows:
Enterprise = Contact sales for price
- Simplified data prep, mashup and aggregation
- R and Python scripting
- Time-stamped and/ or batch-stamped data mashup capability
- Web-based access to view and run workflows*
- Automatic model building
- Enabling Collective Intelligence
- Integration with app markets (Azure ML, Apervita, and Algorithmia)
- Model management and version control
- Reusable workflow templates*
- Integration with H20 (Spark on Hadoop)*
- In-database data prep, model build and scoring*
- Deploy data prep and analytic workflows on edge devices and gateways*
- Streaming data visualizations, dashboards, and discovery
- Standardized reports for regulated industries*
- Descriptive statistics, forecasting, regression, and exploratory data analysis
- Quality control, multi-variate SPC, and design of experiments
- Machine learning, data mining, and automated neural networks
- Analysis of research designs with both fixed and random effects
- Deep learning*
- Text mining*
- Network (entity) analytics and automated model building*
- Batch scoring*
- Model deployment code generation (PMML, Java, C#, SQL, and SAS)
- Business rules builder (conditional execution of models and rules, if/elseif/else)
- Real-time monitoring and alerting*
- Real-time live scoring*
- User/role-based security, audit trails, version, approvals, and electronic signatures*
- Validatable analytics and reporting for regulated industries* (FDA CFR Part 11, IHC, SOX, and Basel II)
- OSI PI connector
- Validated data entry*
- Stability and shelf-life analytics*
- Product traceability analytics*
Expert Data Science = Contact Sales for price
- Simplified data prep, mashup and aggregation
- R and Python scripting
- Time-stamped and/ or batch-stamped data mashup capability
- Web-based access to view and run workflows*
- Automatic model building
- Enabling Collective Intelligence
- Integration with app markets (Azure ML, Apervita, and Algorithmia)
- Model management and version control
- Reusable workflow templates*
- Integration with H20 (Spark on Hadoop)*
- Streaming data visualizations, dashboards, and discovery
- Standardized reports for regulated industries*
- Descriptive statistics, forecasting, regression, and exploratory data analysis
- Quality control, multi-variate SPC, and design of experiments
- Machine learning, data mining, and automated neural networks
- Deep learning*
- Text mining*
- Batch scoring*
- Business rules builder (conditional execution of models and rules, if/elseif/else)
- Real-time monitoring and alerting*
- User/role-based security, audit trails, version, approvals, and electronic signatures*
- Validatable analytics and reporting for regulated industries* (FDA CFR Part 11, IHC, SOX, and Basel II)
- Validated data entry*
Expert Quality Control = Contact Sales for price
- Simplified data prep, mashup and aggregation
- R and Python scripting
- Time-stamped and/ or batch-stamped data mashup capability
- Web-based access to view and run workflows*
- Enabling Collective Intelligence
- Integration with app markets (Azure ML, Apervita, and Algorithmia)
- Model management and version control
- Reusable workflow templates*
- Streaming data visualizations, dashboards, and discovery
- Standardized reports for regulated industries*
- Descriptive statistics, forecasting, regression, and exploratory data analysis
- Quality control, multi-variate SPC, and design of experiments
- Analysis of research designs with both fixed and random effects
- Business rules builder (conditional execution of models and rules, if/elseif/else)
- Real-time monitoring and alerting*
- User/role-based security, audit trails, version, approvals, and electronic signatures*
- Validatable analytics and reporting for regulated industries* (FDA CFR Part 11, IHC, SOX, and Basel II)
- OSI PI connector
- Validated data entry*
Professional = Contact Sales for price
- Simplified data prep, mashup and aggregation
- R and Python scripting
- Integration with app markets (Azure ML, Apervita, and Algorithmia)
- Streaming data visualizations, dashboards, and discovery
- Analytics
- Descriptive statistics, forecasting, regression, and exploratory data analysis
- Quality control, multi-variate SPC, and design of experiments
*Requires server
Integrations
Tibco Statistica integrates with the following business systems and applications:
- Spark
- Hadoop
- Azure ML
- Apervita
- Algorithmia
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Macy's, Fox Networks, T Mobile
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 analytics system that allows users to build analytic workflows that are packaged and published for various businesses.
Company Email
amer-registrar@tibco.com
Contact No.
Company's Address
TIBCO Software Inc. Headquarters
3307 Hillview Avenue
Palo Alto, CA 94304
USA
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Please pay attention to the fact that even though both Anaconda Enterprise and Tibco Statistica may provide an excellent array of features every product might be aimed at a different business size. If you are studying different apps you may want to focus on a company size they are aimed at. Some features may scale up efficiently for big enterprises but if you have a small or medium business it’s frequently more sensible to avoid paying for advanced features that you may never actually use.
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