Databricks does not provide built-in localization for the workspace interface itself. The UI is generally presented in English, and there are no direct settings for changing the language of the workspace UI based on the user's location.

How can we handle data which has multiple languages ? 

1-In that case you need to encode the data in that language format , ex if the data is in japanease then u need to encode in UTF-8 

REATE OR REPLACE TEMP VIEW japanese_data

AS SELECT * FROM

csv.`path/to/japanese_data.csv`

OPTIONS ('encoding'='UTF-8')

also you can use various libraries and tools for natural language processing (NLP) in Databricks.

Is there any update in 2026?

Great question! Databricks doesn't automatically change the workspace or data language based on a user's location. The best practice is to keep your data language-neutral, store translations in separate tables, detect the user's preferred language (such as de, zh, or en) in your application, and pass that language to your Databricks queries. Your frontend (Power BI, Tableau, React, etc.) can then display the UI in the appropriate language while Databricks returns the matching localized data. This approach is scalable, easy to maintain, and widely used in enterprise applications.