Databricks is proud to introduce Databricks Apps, a revolutionary feature that will revolutionize the way enterprise developers build data and AI applications! The editor of Downcodes learned that in just 5 minutes, you can easily create a production-ready application without having to worry about complex configuration and deployment processes. This is undoubtedly a great benefit for enterprises that want to quickly build and deploy data applications. Databricks Apps simplifies the application development process, significantly improves efficiency, and provides strong security to ensure the safety and reliability of user data and applications.
Recently, Databricks launched a brand new feature – Databricks Apps. This new service helps enterprise developers create production-ready data and AI applications in just 5 minutes. Imagine how easy it is to build an app with just a few clicks!
Product entrance: https://top.aibase.com/tool/databricks-lakehouse-platform
Currently, Databricks Apps are in the public beta stage. Users only need to choose a suitable Python framework (such as Streamlit, Dash, Gradio or Flask), then select a template type (chatbot or data visualization application), and finally configure some basic settings. You can quickly complete the application building.
Once completed, the application will be deployed directly to the user's Databricks environment for everyone to use and share. Moreover, the single sign-on authentication will automatically pop up when the user logs in, which greatly improves the convenience of use.
Developers often encounter a lot of trouble when building applications, such as needing to be familiar with container hosting technology, configuring authentication, setting up networks, etc. These tedious steps often make the development process complex and time-consuming. Now, Databricks Apps simplify it all in one place, requiring only simple setup and all infrastructure and security measures are taken care of automatically. What's more, this service also provides strong security measures to ensure the safety of user data and applications.
Currently, 50 companies have participated in the testing of Databricks Apps, including Addi, E.ON Digital Technology, SAE International, etc. With the launch of the public beta, the number of participating companies is expected to continue to increase. Although the service currently only supports the Python framework, Databricks said that they are working hard to expand more tools, languages, and frameworks to make secure application development easier.
After competitor Snowflake also launched a low-code development approach, Databricks Apps differentiated itself with its more flexible and interoperable features. Whether it's the choice of tools or the way to build applications, Databricks hopes to give developers greater freedom.
Highlight:
Databricks launches Databricks Apps, allowing enterprise developers to easily build AI applications in 5 minutes.
? The new service provides strong security measures to ensure the security of data and applications.
Currently, 50 companies have participated in the test, and support for more languages and frameworks will be expanded in the future.
All in all, Databricks Apps provides enterprise developers with an efficient, secure and convenient application building solution, and it is worth looking forward to its future development and expansion of more functions. The editor of Downcodes believes that Databricks Apps will become an innovative force in the field of data and AI application development!