SNow flake and data bricks integration

2. 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.

3. As Close to Live System - multiple sysncs

4. Data Bricks Live streaming

5. Connection with 100+ SQL Databases across different servers

6. 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.

7. 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.

8. 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.