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About Domino
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Overview

Overview

Domino is an open enterprise platform for data science, machine learning, and AI research. It works with an expansive list of industry leading tools and technologies to enrich data science research, development, and deployment processes. Domino works with a wide range of data sources, languages, IDEs, tools, libraries, and publication targets, including:

  • Certified partners who have worked with Domino to integrate and verify their tools.

  • Other third-party tools and technologies known to work with Domino.

  • Access to other tools and technologies through code-first APIs or connections.

The catalog lists the integrations alphabetically and groups them according to the categories shown in the diagram.

Contact Domino Support if something is missing because we’re always adding new integrations and want to hear what’s top of mind for data scientists.

Domino is at the center of the machine learning ecosystem

Compute Environment Catalog

Domino is an open platform for data science which integrates various languages, IDEs, data sources, and tools in one place.

Domino pre-builds compute environments with partner technologies to make it easy for you to use the tools you want in your Domino installation. We build, test, and security scan the environments. Domino updates them periodically to keep the libraries and tools near their latest stable versions.

This topic includes a catalog of the environments. These can be pulled into any Domino installation which has access to quay.io. The URL provides the repo access to pull the image from and the linked documentation provides details on configuring those environments.

Note
PartnerProduct/Version

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Domino Standard Environment (DSE)

quay.io/domino/compute-environment-images:ubuntu20-py3.9-r4.2-domino5.3-standard

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Domino Minimal Environment (DME)

quay.io/domino/compute-environment-images:ubuntu20-py3.9-domino5.3-minimal

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Domino Spark Environment

quay.io/domino/compute-environment-images:ubuntu20-py3.9-r4.2-spark3.3.0-hadoop3.3.3-domino5.3

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Domino Ray Environment

quay.io/domino/compute-environment-images:ubuntu20-py3.9-r4.2-ray1.13-domino5.3

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Domino Dask Environment

quay.io/domino/compute-environment-images:ubuntu20-py3.9-r4.2-dask2022.8.1-domino5.3

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On-Demand Open MPI

Note

quay.io/domino/compute-environment-images:ubuntu20-py3.9-r4.2-mpi-4.1.3-domino-5.2

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Intel AI Analytics Toolkit (AI Kit) intel/oneapi-aikit

matlab

MATLAB 2021a

quay.io/domino/matlab:R2021a

matlab

MATLAB 2020b

quay.io/domino/matlab:R2020b

matlab

MATLAB 2020a

quay.io/domino/matlab:R2020a

matlab

MATLAB 2019b

quay.io/domino/matlab:R2019b

nvidia ngc

Container images from the NVIDIA NGC Catalog

snowflake

Snowflake Snowpark

quay.io/domino/snowflake:snowpark-latest

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Stata 17

quay.io/domino/stata:17

Data sources

SolutionPartnerIntegration information

awsredshift

✔

Connect to Amazon Redshift

awss3

✔

Connect to Amazon S3
Connect to tabular S3 with AWS Glue (requires admin configuration)

azure

Connect to Azure Data Lake Storage

gcp

Connect to Google Cloud Service
Connect to BigQuery

mssqlserver

Connect to Microsoft SQL Server

mysql

Connect to MySQL

oracle

Connect to Oracle DB

palantir

✔

Connect to Palantir Foundry (requires admin configuration)

postgresql

Connect to PostgreSQL

Generic S3

Connect to Generic S3

snowflake

✔

Connect to Snowflake

teradata150

✔

Connect to Teradata

starburst logo

✔

Connect to Starburst/Trino

Data governance

SolutionPartnerIntegration information

okera

✔

Connect to Okera from Domino

Tools & IDEs

SolutionPartnerIntegration information

rstudio

✔

RStudio comes standard in the Domino Analytics Distribution

jupyter

Jupyter and JupyterLab come standard in the Domino Analytics Distribution

matlab

✔

Domino distributes a base MATLAB environment image which you can add as a Workspace

sas

Use your SAS Viya Data Science Studio in Domino. Learn how to Use a SAS Workspace

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✔

Domino distributes a base Stata environment image which you can add as a Workspace

visualstudio

Using Visual Studio Code in Domino

zeppelin

How to set up Zeppelin Workspaces in Domino

Packages & libraries

SolutionPartnerIntegration information

anaconda

✔

Add Miniconda to Domino environments and specify a local mirror. See Anaconda on Domino for legal considerations.

h2o

✔

Install H2O

datarobot

✔

Connect to DataRobot in Domino

snowflake

✔

Snowpark Library

Spark & Hadoop clusters

SolutionPartnerIntegration information

cloudera

Connect to a Cloudera CDH5 cluster

hortonworks

Connect to a Hortonworks cluster

mapr

Connect to a MapR cluster

awsemr

Connect to an Amazon EMR cluster

App frameworks

SolutionPartnerIntegration information

flask

Publish a Project as a Website with Flask

shiny

Publish an R App with Shiny

dash

Publish a Python App with Dash

django

Getting started with Django in Domino

Model publishing

SolutionPartnerIntegration information

sagemaker

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With Domino you can export a model endpoint that is compatible with AWS Sagemaker. See What Is Amazon SageMaker? for how to publish.

snowflake

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You can use models in Snowflake queries via Snowpark integration.

nvidia

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With Domino you can export a Domino model that can be deployed by NVIDIA Fleet Command.

If you are a partner interested in certifying your solution in Domino, contact partners@dominodatalab.com.

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