Explore our ecosystem¶

Domino is an open enterprise platform for data science, machine learning, and AI research.

Domino works with an expansive list of industry leading tools and technologies to enrich the data science research, development, and deployment process. Our product 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 3rd party tools and technologies known to work with Domino
Access to other tools and technologies through code-first APIs or connections

The following topics in our documentation describe these integrations in more detail. The integrations are listed alphabetically and grouped according to the categories shown in the diagram.

If you see something missing, please reach out to Domino Support as we are always adding new integrations and always interested in hearing what’s top of mind for data scientists.

Data sources¶

Solution	Partner	Integration information
		Connecting to Snowflake from Domino
		Connecting to S3 from Domino
		Connecting to Redshift from Domino
		Connecting to PostgreSQL from Domino
		Connecting to Microsoft SQL Server from Domino
		Connecting to Impala from Domino
		Connecting to Oracle DB from Domino
		Connecting to MySQL from Domino

Data governance¶

Solution	Partner	Integration information
		Connecting to Okera from Domino

Tools & IDEs¶

Solution	Partner	Integration information
		RStudio comes standard in the Domino Analytics Distribution
		Jupyter and JupyterLab come standard in the Domino Analytics Distribution
		Domino distributes a base MATLAB environment image which you can add as a Workspace
		Use your SAS Viya Data Science Studio in Domino. Learn how to create a SAS Workspace Environment
		Using Visual Studio Code in Domino
		How to set up Zeppelin Workspaces in Domino

Packages & libraries¶

Solution	Partner	Integration information
		Miniconda comes standard in the Domino Analytics Distribution with a variety of common packages. You can also point to a local mirror
		Install H2O: http://h2o-release.s3.amazonaws.com/h2o/rel-turing/10/index.html
		Connecting to DataRobot in Domino

Spark & Hadoop clusters¶

Solution	Partner	Integration information
		Connecting to a Cloudera CDH5 cluster from Domino
		Connecting to a Hortonworks cluster from Domino
		Connecting to a MapR cluster from Domino
		Connecting to an Amazon EMR cluster from Domino

App frameworks¶

Solution	Partner	Integration information
		Getting started with Shiny in Domino
		Getting started with Dash in Domino
		Getting started with Flask in Domino
		Getting started with Django in Domino

Model publishing¶

Solution	Partner	Integration information
		With Domino you can export a model endpoint which is compatible with AWS Sagemaker. Find instructions for publishing here.

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