Are there any known limitations or scenarios where Snowpark might not be the most suitable choice?

Yes, there are some known limitations or scenarios where Snowpark might not be the most suitable choice. These include:

• Snowpark is a relatively new technology, and there may be some bugs or performance issues that have not yet been identified.
• Snowpark is designed for data-intensive applications, and it may not be the best choice for applications that do not require a lot of data processing.
• Snowpark is a programming model, and it requires some level of programming expertise to use.
• Snowpark is not currently available for all Snowflake regions.

Here are some additional scenarios where Snowpark might not be the most suitable choice:

• If you need to use native code or communicate with external networks, Snowpark may not be the best choice.
• If you are using a legacy version of Snowflake, Snowpark may not be compatible.
• If you are on a tight budget, Snowpark may not be the most cost-effective option.

Overall, Snowpark is a powerful tool that can be used to build a wide variety of data-intensive applications. However, it is important to be aware of its limitations and to choose the right tool for the job.

Here are some other considerations when choosing between Snowpark and other options:

• Snowpark is a good choice for applications that require a lot of data processing and that can benefit from the performance and scalability of Spark.
• Snowflake SQL is a good choice for applications that do not require a lot of data processing or that need to be accessible to users who do not have programming experience.
• Third-party tools, such as Databricks and Amazon EMR, can be a good choice for applications that require a lot of data processing and that need to be deployed on a specific infrastructure.

The best way to choose the right tool for your needs is to consult with us.