snowflake_databricks hoe to integrate snowflake with databricks

SNow flake and data bricks integration

1. Data Access Speed , Scalability Snowflake uses automatic parallel execution to fasten data loading for example it involves breaking up the single 10Gb file into 100 x 100Mb. Databricks provides fast performance when working with large datasets and tables as it uses Spark architecture underneath to parallelize and partition the data. Scalability : Snowflake automatically adds or resumes additional clusters (up to the maximum number defined by user) as soon as the workload increases. Databricks clusters spin-up and scale for processing massive amounts of data when needed and spin down when not in use.

2. As Close to Live System - multiple sysncs

3. Data Bricks Live streaming

4. Connection with 100+ SQL Databases across different servers

5. Ease of integration with ETL process Snowflake supports both transformation during (ETL) or after loading (ELT). Snowflake works with a wide range of data integration tools, including Informatica, Talend,Altryx and others. DataBricks has been build to support ETL and equipped with efficient tools to handle the data.

6. Ease of Expandability - after initial setup, schema change in source? How hard is to update the setup. Snow flake : A warehouse  provides the required resources, such as CPU, memory, and temporary storage , to perform the following operations in a Snowflake session , It automatically scales its nodes and performance. Data Bricks:   Databricks cluster is  a set of computation resources and configurations on which you run data engineering and data analytics workloads . Where nodes and workers are manually assigned for different sizes of data.

7. Ci/Cd A CI/CD pipeline  combines code building, testing, and deployment into one continuous process ensuring that all changes to the main branch code are releasable to production . An automated CI/CD pipeline prevents manual errors, provides standardized feedback loops to developers, and enables quick software iterations. Snow Flake : It uses Jenkins or other thierd party tools to create CI/CD pipelines for source code Databricks: It uses Azure Devops to create CI/CD pipelines.