Interested to learn the difference between Azure Synapse Analytics and Databricks? then you are at the right place. In this Azure article, we will learn Azure Synapse Analytics vs Databricks.
Azure Synapse vs Databricks
Let’s point out some key differences between Azure Synapse Analytics and Azure Databricks.
Related Topics | Azure Synapse Analytics | Databricks |
Supported Languages | It supports multiple programming languages like Python, SQL, Scala, Java, etc. | Databricks supports different programming languages like SQL, Python, R, etc. |
Developer Point of view | Comes with Azure Synapse Studio, which makes the development more accessible and it’s a single place for accessing multiple services. | Here, you will get the Databricks connect and UI to work with. |
Support for Notebooks | Notebooks are supported here with no automated versioning feature. The supported notebook is Nteract Notebooks. | Notebooks are supported here with an automated versioning feature which helps a lot. The supported notebook is Databricks Notebooks. |
Which type of Tool? | Basically, known as a data warehouse and analytics tool. | It is basically known as a notebook tool that is Spark-based. |
Supported Spark | Supports Apache Spark (Open-source). | Supports the latest version of Apache Spark and Spark 3.0. |
Data Lake | At the time of the creation of the Azure synapse, you need to choose the primary Data lake. | You have to install the Data lake separately. |
T-SQL experience | You have the provision to enjoy a complete T-SQL experience | Here, you won’t get a complete T-SQL experience. |
Power BI experience | Here, you can use Power BI for reporting from the Azure Synapse Studio. | Here, you will get the full SQL traditional BI. |