Databricks delivers rapid construction kit for AI and data applications

Based on its data intelligence platform, the company Databricks has introduced Databricks Apps, which developers can now use to build their AI and data applications faster and more securely and put them into productive operation. Databricks has already used the new apps platform internally and is now releasing it as part of a public beta phase on the serverless infrastructure at AWS and Azure.

A productive app in just a few minutes

"Build Databricks Apps in 5 Minutes" – is the slogan the company uses to promote its new offering in an explanatory video. The Databricks apps are tailored to use cases such as artificial intelligence, analytics, data visualization or data quality monitoring. Customized and company-specific applications can be created within minutes without developers having to spend a lot of time dealing with challenges such as infrastructure, maintenance, security, governance and compliance. Instead, they can concentrate fully on developing their applications – and either build on the Databricks platform or use familiar IDEs, such as PyCharm or Visual Studio Code.

Databricks recently updated the integration of PyCharm Professional so that data scientists and data engineers can use a variety of Python frameworks in their work – including Dash, Gradio and Streamlit. The Databricks service can be seamlessly integrated into DevOps processes and CI/CD pipelines so that apps such as a dashboard with a connected semantic search can be developed and put into productive operation more quickly. The platform provides automated serverless computing instances for deploying the applications, to which users can access the app via an individual URL.

Integrated security, governance and compliance

All deployments are secured by default, including access control, and the settings can be adapted to individual requirements if necessary. The Databricks apps also offer a connection to Unity Catalog in order to meet regulatory requirements and internal guidelines –, for example with regard to data origin, transformation and use –.

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More information on the public preview of the Databricks apps can be found in the announcement on the company's blog. If you want to get an overview of all the functions, you should take a look at the documentation for the new offering.

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