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