I think the answer is A and C, OLTP is not best use case for snowflake
https://www.quora.com/Can-Snowflake-be-used-for-an-OLTP-system-or-is-it-only-best-suited-for-warehousing
A. OLAP (Analytics) workloads
C. Concurrent workloads
Snowflake is primarily designed for analytical processing (OLAP) and can efficiently handle concurrent workloads due to its architecture, which allows multiple virtual warehouses to operate independently and scale as needed. It is not optimized for OLTP (Transactional) workloads, which typically require low-latency operations, nor is it designed specifically for on-premise workloads, as it is a cloud-based data warehousing solution.
A and B
Snowflake Unistore offers modern approach to working with transactional and analytical data together in a single platform.
https://www.snowflake.com/guides/olap-vs-oltp
B and C
Snowflake Unistore offers modern approach to working with transactional and analytical data together in a single platform
https://www.snowflake.com/guides/olap-vs-oltp
The correct answer is OLAP and OLTP. Why? Because Snf introduced a new feature "Unistore" which enables hybrid tables with both transactional type data (OLTP) and analytical data (OLAP), in the PAST the answer would be different as one can see in the answer given by Snowflake below. https://community.snowflake.com/s/question/0D50Z00008BDIPTSA5/snowflake-oltp
https://www.snowflake.com/en/data-cloud/workloads/unistore/
Check this new feature of Unistore! A new workload that delivers a modern approach to working with transactional and analytical data together in a single platform
https://www.snowflake.com/blog/introducing-unistore/
Part of the Data Cloud, Snowflake Unistore offers modern approach to working with transactional and analytical data together in a single platform.
https://www.snowflake.com/guides/olap-vs-oltp
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