How many rows can Snowflake handle?

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How many rows can Snowflake handle?

Daniel Steinhold Changed status to publish March 21, 2024
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Snowflake is a cloud-based data warehousing platform that was designed to handle large and complex data sets in real-time. The number of rows that Snowflake can handle largely depends on the size of the instance or cluster, as well as the amount of storage available.

A standard Snowflake instance can handle up to several terabytes of data and can process queries on billions of rows in real-time, making it well-suited for large-scale data processing and analysis. However, as your data grows and becomes more complex, you may need to add more resources to your Snowflake cluster to ensure optimal performance.

The Snowflake platform is designed to scale horizontally, which means that you can add more compute resources to your cluster as needed to handle increasing data volumes and query complexity. This allows you to easily scale your Snowflake instance to handle millions or even billions of rows without sacrificing performance.

In summary, Snowflake is a highly scalable cloud-based data warehousing platform that can handle millions or even billions of rows in real-time. The exact number of rows that Snowflake can handle largely depends on the size of the instance or cluster, as well as the amount of storage available. However, Snowflake's ability to scale horizontally means that it can easily handle even the largest and most complex data sets as your needs grow and evolve over time.

Daniel Steinhold Changed status to publish March 21, 2024
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