"Which tool is the right choice for cloud data transformation?" ?? #Cloud #DataTransformation #Databricks #DecisionMaking #Dbt

I am trying to attempt a comparison between dbt and Databricks (delta live tables)

Note: Not prompted and copied from the ChatGPT, some notes were paraphrased by LinkedIn.

Dbt :

·??????? If we use dbt day 1 we can start the development without cloud engineer/SME support.

·??????? We can switch the environments and start developing/deployments from cli, vscode.

·??????? Data modeling is simple as if you are using traditional ETL tools.

·??????? DBT cloud unlocks so many unique features that are needed for the Dwh.

·??????? Pre/ post hook, Test cases, data quality, and data lineage are plug and play minimal macros development knowledge is sufficient.

·??????? Version control is very simple to handle if you are in a collaborative space.

·??????? Provides built-in capabilities for documenting models and writing tests for data quality and integrity.

·??????? Macros acts like RDBMS Database procedures and functions and it helps all sorts all sustainability.

·??????? Works with various data warehouses like Databricks, Snowflake, BigQuery, Redshift, and more.

Databricks:

·??????? Delta live tables (presently not open source) and databricks proprietary.

·??????? Delta live tables with SQL warehouse and unity catalog is a combination if you have this feature, I will recommend using only the databricks instead of other tool support (I am not a fan of a tool).

·??????? Delta live tables will support Python and SQL. These two are sufficient to deal any data-related tasks.

·??????? Natively integrates with Databricks, offering benefits like ACID transactions, scalable metadata handling, and performance optimizations through Delta Lake.

·??????? Provides mechanisms for ensuring data quality, such as automatic handling of schema changes and error handling.

·??????? Unity catalog gives wonderful data lineage and governance process.

·??????? Batch process and automation.

·??????? Simple deployment process and workflow creation.

Conclusion:

if you are already within the Databricks ecosystem, the unity catalog enables your organization to go for Databricks delta live tables implementation. Below are the buying points.

·??????? Databricks is rapidly improving If we compare with last year to this year changes are uncatchable for competitors.

·??????? dbt is a parasite product on top of Databricks features and dbt is not that much faster to catch the features and implementations.

·??????? Databricks gives all the features of data-related operations needed for the enterprise data warehouse.

·??????? Using the Databricks Dashboards, we can share the batch status report to the end users, simplifying the Operations tasks.

Thank you!

Sai