Appendix B: 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

Allows users to 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

ParallelM

Deploy and monitor MOJO models

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 Enabling Data Connectors for information about data sources supported by Driverless AI.