Tools you love.
The data platform you trust.
THE POSSIBILITIES OF PARTNERSHIP
Databricks Director of Product Management, Tarek Madkour & Posit President, Tareef Kawaf
Technical Integration
Databricks Product Specialist, Rafi Kurlansik & Posit Product Manager for Cloud Integrations, James Blair
Innovate
Empower your teams to accelerate better decision making.
Equip your team with their tools of choice
Unleash the full power of open source for data science and analytics.
Streamline workflows
Seamless experience eliminates expensive context switching and extra steps.
Accelerate innovation
Explore, visualize, model, and share results faster than ever before.
EXPERIENCE
Refine data into something revolutionary–all in one place.
Databricks provides the performance and governance you need.
Collect, process, manage, and govern data across the analytical lifecycle–at cloud scale.
DATA LAKEHOUSE
A safe place for your data, structured and unstructured.
DATA SCIENCE AND AI AT SCALE
Cloud-based clusters to tackle your biggest data workloads.
UNIFIED DATA GOVERNANCE
Fine-grained cataloging and governance for your data and AI models.
Posit provides the open and scalable tools you know and love.
Build and share data products with Python and R, quickly and independently.
POSIT WORKBENCH
Support your data experts with managed environments, including their preferred IDEs and tools.
POSIT CONNECT
Schedule, share, and scale models, apps, reports, and more with your choice of frameworks.
POSIT PACKAGE MANAGER
Provide validated, up-to-date Python and R packages to facilitate reproducible results.
The result is superior, more productive data science for the entire organization.
Where R and Python developers have a simplified development experience to work in, together.
JULY 2023
Databricks and Posit announce partnership to provide enhanced tools for R and Python developers.
OCTOBER 2023
Databricks Connect now available for R via sparklyr and pysparklyr.
DECEMBER 2023
Simplified Databricks connectivity available via ODBC. Seamless access to Databricks via Single Sign-On and other enhancements available in Posit Workbench.
AUGUST 2024
Data governance integrations in Posit Connect through viewer identity delegation to Databricks Unity Catalog.
COMING SOON
Stay tuned for more updates!
Partnering for developer productivity.
Posit is an early development partner for Lakehouse Apps in Databricks.
“There’s so much that can be solved with data. By making it easier for users and organizations to adopt these [technologies], we’re removing obstacles to scientific progress.”
SHARE
Deliver insight and change what’s possible.
Automate easily
Schedule data updates, model refreshes, report generation, and more.
Deploy real-time insights
Interactive data experiences allow your stakeholders to explore the data to enable quick decision making.
Innovate faster
Break down barriers to continuous improvement and boost your analytics results.
GET THE SCOOP
Find out what we’ve been up to with Databricks
YouTube playlist: Using Databricks and RStudio
This playlist features some of our recent updates aimed at the seamless integration of Databricks and RStudio.
Improved Productivity for your Data Teams
Our partnership aims to help Python and R developers build and share valuable data-driven content using familiar, state-of-the-art tools that maximize their productivity, all while leveraging the data processing and governance capabilities of Databricks.
Databricks Connect now available in sparklyr
We’re excited to announce that the latest release of sparklyr on CRAN introduces support for Databricks Connect.
Reporting on NYC taxi data with RStudio and Databricks
With Posit's RStudio Desktop and Databricks, you can analyze data with dplyr, create impressive graphs with ggplot2 and weave data narratives with Quarto, all using data that is stored in Databricks.
Simplifying Lakehouse access for developers
Databricks and Posit are thrilled to announce a strategic partnership to provide R and Python developers with an simplified development experience when working with Databricks.
Data Science Hangout
TD Bank: Enable data & machine learning scientists with Posit & Databricks
GET THE SCOOP
Find out what we’ve been up to with Databricks
YouTube playlist: Using Databricks and RStudio
This playlist features some of our recent updates aimed at the seamless integration of Databricks and RStudio.
Improved Productivity for your Data Teams
Our partnership aims to help Python and R developers build and share valuable data-driven content using familiar, state-of-the-art tools that maximize their productivity, all while leveraging the data processing and governance capabilities of Databricks.
Databricks Connect now available in sparklyr
We’re excited to announce that the latest release of sparklyr on CRAN introduces support for Databricks Connect.
Reporting on NYC taxi data with RStudio and Databricks
With Posit's RStudio Desktop and Databricks, you can analyze data with dplyr, create impressive graphs with ggplot2 and weave data narratives with Quarto, all using data that is stored in Databricks.
Simplifying Lakehouse access for developers
Databricks and Posit are thrilled to announce a strategic partnership to provide R and Python developers with an simplified development experience when working with Databricks.
Data Science Hangout
TD Bank: Enable data & machine learning scientists with Posit & Databricks
Predicting Lending Rates with Databricks, tidymodels, and Posit Team
Machine learning algorithms are reshaping financial decision-making, changing how the industry manages financial risk.
From Databricks to Posit Connect: Building and Deploying a Shiny for R Application
We showcase a Shiny application that highlights the seamless integration of Databricks and Posit tools.
Data-level permissions using Posit Connect (with Databricks, Snowflake and OAuth)
The Connect team joined us for a demo on inheriting data-level permissions using Posit Connect and Databricks Unity Catalog.
Data Science Hangout with Gen Re
This episode of the Hangout went to amazing and unexpected places as we talked about AI use cases, getting buy-in from leadership, and building stakeholder trust.
Parallelize R code using user-defined functions (UDFs) in sparklyr
The sparklyr package enables writing user-defined functions (UDFs) in R, allowing you to leverage Spark for efficient big data processing.