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

Live Technical Session

Tuesday, December 13, 1pm EST

Join solution architects from Databricks and Plotly to learn how the platforms offer a combined solution to ensure fast processing and visualization of real-time and large data.

Reserve Your Spot

Medium: Build Real-Time Production Data Apps with Databricks & Plotly Dash

The process for building at-scale interactive Plotly Dash analytics apps for streaming data via Databricks is accomplished by using the Databricks Structured Streaming solution in conjunction with the Databricks SQL python connector (DB SQL).

Learn more

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

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.

databricks-dash

Learn more →

databricks-dash is a licensed library included with Dash Enterprise, which can be installed and imported for coding and running applications in Databricks notebooks.

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.

databricks-dash

Learn more →

databricks-dash is a licensed library included with Dash Enterprise, which can be installed and imported for coding and running applications in Databricks notebooks.

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