DASH ENTERPRISE

Databricks and Dash Integration

The founders of Databricks created Apache Spark, as well as other open-source data science and machine learning projects, making them valued Plotly partners. The Databricks platform offers a notebook interface, similar to Jupyter Notebooks, to leverage Apache Spark. Dash applications using Databricks can be easily developed and deployed to Dash Enterprise.

Contact Sales

Get Started

Medium: Building Plotly Dash Apps on a Lakehouse with Databricks SQL

For building Plotly Dash apps on Databricks, the integration process is identical to any data warehouse. Use the databricks-sql python connector (DBSQL) to create a jdbc/odbc connection to a DBSQL endpoint, or use an ORM such as SQLAlchemy.

Learn more

Webinar: Deliver AI for Big Data using Dash & Databricks

Join Peter Kim, Solutions Engineer at Plotly, and Prasad Kona, Partner Solutions Architect at Databricks, as they demonstrate how to use the Dash-Databricks integration to operationalize AI/ML models and data directly to business users.

Learn more

Customer Story: Dash Enterprise for Public Utility Operations

Within one year, Dash enabled a major public utility to reduce its customer complaints by 10 times, scaling Dash usage within the company and integrating AI and Databricks.

Learn more

Dash Apps Built with Dash Enterprise

Dash provides a friendly Python interface for creating flexible, interactive, and customizable apps that connect directly to your analytics code.

Dash-Databricks

Learn more →

Databricks-dash is a closed-source, custom library that can be installed and imported on any Databricks notebook through Dash Enterprise.

Dash Apps with Databricks

Learn more →

Seamlessly build Dash Apps on a Lakehouse with Databricks SQL. Use the databricks-sql python connector (DBSQL) to create a jdbc/odbc connection to a DBSQL endpoint, or use an ORM such as SQLAlchemy.

Dash-Databricks

Learn more →

Databricks-dash is a closed-source, custom library that can be installed and imported on any Databricks notebook through Dash Enterprise.

Dash Apps with Databricks

Learn more →

Seamlessly build Dash Apps on a Lakehouse with Databricks SQL. Use the databricks-sql python connector (DBSQL) to create a jdbc/odbc connection to a DBSQL endpoint, or use an ORM such as SQLAlchemy.

Architecture

Dask enables your production-grade Dash application to load and process very large datasets or models using distributed computing with familiar Python data science tools.

Build. Deploy. Scale.

Contact Sales