Dash Enterprise is your front end for horizontally scalable, big data computation in Python.
From Spark to Snowflake, Dask to Datashader...the Python "big data" tech stack has never been more varied or robust.
Dash Enterprise supports turnkey connections to the most popular "big data" back ends for Python, including Vaex, Dask, Datashader, RAPIDS, Databricks (PySpark), Snowflake, Postgres, and Salesforce.
In addition, Dash Enterprise ships with battle-tested, plug-and-play demos for best leveraging Dash with each of these technologies.
Scroll below to demo the latest in Python HPC through Dash user interfaces.
"We are not speaking just about reports/dashboards. Dash helps us to organize and combine our data and make it available for a wider spectrum of colleagues, who may require in the future some kind of interaction, such as running finite element simulations for specific parameter combinations."
Connect your Dash apps to all major data warehouses.
📚 Python, R, and Julia supports best-in-class, open-source connection libraries for Snowflake, Amazon Redshift, IBM DB2, Google BigQuery, PostgreSQL, and Azure SQL Data Warehouse, making it simple to connect these data services to your Dash apps. Dash Enterprise comes with connection examples for each of these data warehouses, so you can easily copy/paste the code into your own Dash apps.
🐼 Use Pandas dataframes in Data Science Workspaces or your Dash application code to rapidly filter and visualize data warehouse query results.
⏳ Use the Dash Enterprise Job Queue to sideline long-running data warehouse queries and accelerate your Dash application performance.
We're proud to partner with these best-in-class big data Python solutions.
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.