Supported Platforms

Cloud

ModelOps is only supported on cloud infrastructure.

This release of ModelOps is verified on these cloud environments

• Amazon Elastic Kubernetes Service (EKS)
• Azure Kubernetes Service (AKS)
• OpenShift 4.10 or later.

The Kubernetes clusters must be running Kubernetes version 1.23 or later with Linux nodes.

There is limited support for mixed Linux and Windows clusters for the Statistica model runner. In this case the Statistica Scoring Server node is supported on Windows (Azure only, no support for Windows nodes on EKS or OpenShift). No other ModelOps servers are supported on Windows.

Authentication Providers

ModelOps supports these authentication providers:

• Amazon Cognito
• Azure Active Directory

Data Channels

ModelOps data channels support:

• Apache Kafka version 2 or later (Kafka Data Channels)
• any JDBC compliant database (JDBC Data Channels)

Models

ModelOps supports these model types for scoring:

• PMML - Version 3 and 4
• Python (both binary and script) - Version 3.10.6
• R - Version 3 and 4
• Spark ML - Version 2 and 3
• Statistica¹ - Version 14
• TensorFlow² - TensorFlow 2

Integrations

• TIBCO ModelOps Integration with TIBCO Spotfire requires TIBCO Spotfire 11.4.0 LTS or higher
• TIBCO ModelOps Integration with JupyterLab requires JupyterLab 3.3.0 or higher
• TIBCO ModelOps Integration with TIBCO® Data Science - Team Studio requires TIBCO Team Studio 6.6.0 or higher³
  • If users are using the legacy Export operator, refer to the Export Operator section of the TIBCO Data Science – Team Studio docs.
  • If you are using the Export Model to ModelOps operator, refer to the Integrating TIBCO Data Science – Team Studio with TIBCO ModelOps section of the TIBCO Data Science – Team Studio docs.