Supported Integrations
ModelOp Center provides a number of out-of-the-box integrations for both installation of ModelOp Center, as well as for model-specific integrations and enterprise-IT integrations. Please see below for the current list of validated integrations. ModelOp continually evaluates and adds integrations based on the needs of our Customers and of the market.
ModelOp Center - Validated Installation Integrations
Validated Environments for ModelOp Center Installation
ModelOp Center is a docker-native application that can be installed within any of the following Orchestrators:
Openshift
Kubernetes (UCP, Rancher, etc.)
AWS EKS
Azure AKS
GCP GKE
Validated Backing Data Stores for ModelOp Center Installation
ModelOp Center requires both a MongoDB backing data store AND an RDBMS backing data store. The following are the validated data stores required for ModelOp Center installation:
Mongo: MongoDB, DocumentDB
RDBMS: PostgreSQL, Microsoft SQL Server
Validated Model-Specific Integrations
Model Languages / Frameworks
ModelOp Center can support Business models that are built in the following languages/frameworks:
Python
R
Java
Scala
C
C++
PMML
PFA
ScikitLearn
Tensorflow
Keras
Pytorch
XGBoost
Spark
SageMaker
SAS (model inventory entry only)
Jupyter
RStudio
Model Data Sources
ModelOp Center can support Business models that integrate with the following enterprise data stores:
Snowflake
Kafka
S3
Azure Blob Store
SQL Server (on-prem and Azure-based)
PostgreSQL
MySQL
IBM DB2
Validated Shared IT Service Integrations
ModelOp Center supports the following integrations with core enterprise systems:
Bitbucket
Github
JIRA
ServiceNOW
Jenkins
Veracode
Vault
PingFederate
PowerBI
Tableau