Appendix A: Third-Party Integrations

H2O Driverless AI integrates with a (continuously growing) number of third-party products. Please contact sales@h2o.ai to schedule a discussion with one of our Solution Engineers for more information.

If you are interested in a product not yet listed here, please ask us about it!

Instance Life-Cycle Management

The following products are able to manage (start and stop) Driverless AI instances themselves:

Name	Notes
BlueData	DAI runs in a BlueData container
Domino	DAI runs in a Domino container
IBM Spectrum Conductor	DAI runs in user mode via TAR SH distribution
IBM Cloud Private (ICP)	Uses Kubernetes underneath; DAI runs in a docker container; requires HELM chart
Kubernetes	DAI runs in as a long running service via Docker container
Kubeflow	Abstraction of Kubernetes; allows additional monitoring and management of Kubernetes deployments. Click here for more information.
Puddle (from H2O.ai)	Multi-tenant orchestration platform for DAI instances (not a third party, but listed here for completeness)
SageMaker	Bring your own algorithm docker container

API Clients

The following products have Driverless AI client API integrations:

Name	Notes
Alteryx	Lets users interact with a remote DAI server from Alteryx Designer
Cinchy	Data collaboration for the Enterprise, use MOJOs to enrich data and use Cinchy data network to train models
Jupyter/Python	DAI Python API client library can be downloaded from the Web UI of a running instance
KDB	Use KDB as a data source in Driverless AI for training
RStudio/R	DAI R API client library can be downloaded from the Web UI of a running instance. More information available here.

Scoring

The following products have Driverless AI scoring integrations:

Name	Notes
KDB	Call a MOJO to score streaming data from KDB Ticker Service
Qlik	Call a MOJO from a Qlik dashboard
SageMaker	Host scoring-only docker image that uses a MOJO
Trifacta	Call a MOJO as a UDF
UiPath	Call a MOJO from within an RPA workflow

Storage

Name	Notes
Network Appliance	A mounted expandable volume is convenient for the Driverless AI working (tmp) directory

Data Sources

Please visit the section on Data Connectors for information about data sources supported by Driverless AI.