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What is Databricks?
Databricksis a comprehensive data platform that extends Apache Spark.
It is open-source software, but a cloud-based managed option is available as a subscription service.
Like Snowflake, It follows the lakehouse architecture that combines the benefits of Data Warehouses and Data Lakes.
Did you know, you’re free to use Databricks on AWS?
Get $400 worth of credit to try,request Databricks intelligence platform demo.
What is Snowflake?
Snowflakeis a cloud-based data warehousing system.
It runs as a pay-per-use service where you are billed for the resources that you use.
One of the selling points of Snowflake is that billing of computing and storage are separated.
The platform also includes a custom SQL query engine designed to run natively on the cloud.
Snowflake runs on top of the popular cloud providers: Google Cloud, Amazon AWS, and Microsoft Azure.
Similarities Between Snowflake and Databricks
Both Databricks and Snowflake are data lakehouses.
They decouple their storage and computing options, so they are independently scalable.
you’ve got the option to use both products to create dashboards for reporting and analytics.
Because it is extensible and can be fine-tuned, it is recommended for businesses that handle larger data workloads.
It provides one platform for handling data, analytics, and AI.
Use Cases for Snowflake
Snowflake is best used forBusiness Intelligence.
This includes using SQL for data analysis, reporting on the data, and creating visual dashboards.
It is good for data transformation.
Machine Learning capabilities are only available through additional tools such as Snowpark.
Final Words
Both platforms have their strengths and different feature sets.
Like most things, there is no right or wrong answer, just one that works best for you.
