Databricks SQL endpoint

Question

Hi friends, where does the databricks SQL endpoint stand with comparison to other data warehousing technologies such as Synapse, snowflake, and google cloud? please provide metrics related comparison in terms of costs,scalability and performance. Which should be suggested under what considerations.

Accepted Answer

Hi there Anshal

Thanks for using QandA platfoirm

lemme try clearing that for you.

Databricks SQL offers flexibility in costs due to its pay-as-you-go model, making it suitable for fluctuating workloads. Its scalability is robust, leveraging Apache Spark's distributed computing capabilities, allowing it to handle large-scale batch processing and real-time streaming effectively. In terms of performance, Databricks excels in complex transformations and advanced analytics, especially with features like Delta Lake for ACID transactions.

Azure Synapse Analytics, on the other hand, offers predictability in costs with provisioned instances and strong integration with other Azure services. Snowflake follows a consumption-based pricing model, ideal for enterprises requiring frequent scaling and high performance. Google BigQuery offers excellent scalability and real-time analytics capabilities, particularly advantageous for organizations already utilizing Google Cloud services.

Go through the documentation for more info

https://video2.skills-academy.com/en-us/azure/synapse-analytics/

https://docs.databricks.com/en/sql/index.html

https://docs.snowflake.com/en/

https://cloud.google.com/bigquery/docs/

If this helps kindly accept the answer thanks much.

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