[Databricks](https://databricks.com) is a Data Architecture Platform used for Data analytics, Data Engineering, and Data Science work. ## Databricks Official Documentation https://docs.databricks.com/ https://learn.microsoft.com/en-us/azure/databricks/ https://docs.gcp.databricks.com/ ## Databricks Advantages - Uses Jupyter Notebooks - Can use Python, Scala, R or/and SQL - Enhances collaboration through notebook comments, history, and realtime editing. - Ability to stand up compute based on specific needs. - Use of clustering through Apache Spark. ## Databricks Disadvantages - Learning curve due to size of platform and available tools. %% wiki footer: Please don't edit anything below this line %% ## This note in GitHub <span class="git-footer">[Edit In GitHub](https://github.dev/data-engineering-community/data-engineering-wiki/blob/main/Tools/Data%20Processing/Databricks.md "git-hub-edit-note") | [Copy this note](https://raw.githubusercontent.com/data-engineering-community/data-engineering-wiki/main/Tools/Data%20Processing/Databricks.md "git-hub-copy-note")</span> <span class="git-footer">Was this page helpful? [👍](https://tally.so/r/mOaxjk?rating=Yes&url=https://dataengineering.wiki/Tools/Data%20Processing/Databricks) or [👎](https://tally.so/r/mOaxjk?rating=No&url=https://dataengineering.wiki/Tools/Data%20Processing/Databricks)</span>