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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 with databricks-connect.

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Medium: Announcing the Dash-Databricks Partnership

Databricks brings the best-in-class Python analytic processing backend and Plotly’s Dash brings the best-in-class Python front-end. By integrating the Plotly Dash frontend with the Databricks backend, we are offering a seamless process to transform AI and ML models into production-ready, dynamic, interactive web applications.

unlocking business value: Four data challenges

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.

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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 about Dash's Big Data for Python integrations

See it in Action

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Demo App: Databricks-Connect

This demo Dash Application maps Yelp data with parallel and distributed computations using the databricks-connect client library.

Tutorial: How to use Dash Enterprise in a Databricks Notebook

databricks-dash is a closed-source, custom library that can be installed and imported on any Databricks notebook through Dash Enterprise. CEO Jack Parmer shows you how it's done.

Tutorial: How to deploy Dash-Databricks apps in Dash Enterprise

Learn how to productionalize Dash apps with Databricks Connect and Dash Enterprise Kubernetes from Solutions Engineer, Peter Kim.

Architecture

Databricks sits as an external compute and/or data source in relation to your production-grade Dash application. Apache Spark powers the cluster computing behind Databricks. The Python API to Apache Spark is PySpark, on which the databricks-connect client library is built.

See Dash in action.

Sign up for our next Dash Live Weekly demo session to learn more about our Dash Enterprise offering, including industry applications and all the latest tips and features on how to operationalize your data science models.

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