A Virtual Warehouse consists of a cluster of machines (CPUs, memory and SSD) arranged as a Massively Parallel Processing (MPP) server with between 1 and 128 nodes. My company is investigating the product as a supplement to Redshift. The web interface provides a query load chart that depicts concurrent queries processed by a warehouse over a two-week period. One of the most frequently asked questions is how to monitor Snowflake usage and costs. This is typically less than $25 per terabyte per month, and data is automatically compressed at a ratio of between 4-10 times giving additional savings. Over a million developers have joined DZone.

This may be useful to indicate the peak times during the day, in addition to identifying unexpected high spending during what is normally a quiet time over night. All Rights Reserved. However, I haven’t noticed much buzz around it and company/user testimonials are sparse. Other usage should be relatively small by comparison and include the cost of storage which is a simple pass-through charge from the cloud provider. This is typically less than $25 per terabyte per month, and data is automatically compressed at a ratio of between 4-10 times giving additional savings. There are also a number of freely available dashboards for the major Business Intelligence vendors below: Looker - Snowflake Cost and Usage Analysis, Microsoft PowerBI - Snowflake Usage Report. No annoying pop-ups or adverts. This article gives a brief summary of the charges on the Snowflake platform, the explains how to monitor Snowflake usage, and therefore spend over time. The above query can be used to monitor both the monthly spend by all warehouses on the account over the past 12 months in addition to indicating the growth over time. Typically, however, you should expect around 80% of spend on virtual warehouses and should be the initial focus for analysis. If you know of another vendor, or an alternative dashboard, feel free to reach out to me on LinkedIn or contact me via the contact page. Virtual Warehouse Sizes. Make the most of this information and your Snowflake investment using Snowflake’s Block for Cost and Usage. This includes: Warehouses:  Credits used by compute resources, Pipes:  Credits used by the near real time loading facility, Snowpipe, Mview:  Credits used to refresh Materialized Views, Clustering:  Credits used by the automatic clustering mechanism, Reader:  Credits used by Reader Accounts, typically used to share access to data. (c) Copyright John Ryan 2020. A Virtual Warehouse consists of a cluster of machines (CPUs, memory and SSD) arranged as a Massively Parallel Processing (MPP) server with between 1 and 128 nodes. Although the ranking is correct, the credit spend is a worst case estimate because although warehouses are charged by the second, any given warehouse can have a number of executing queries at one time, and the above report indicates a potential worst case, where a warehouse is used by a single user. These are arranged in a series of “T-Shirt” sizes, with charges billed as “credits”, costing from a little as $2.00 per hour as illustrated below: It’s therefore relatively easy to estimate the cost of running a server by simply taking: Warehouse Size:  For example, a Medium warehouse which has 4 nodes, and enough power to summarize and report on gigabytes of data. Join the DZone community and get the full member experience. This may be useful to indicate the peak times during the day, in addition to identifying unexpected high spending during what is normally a quiet time over night. Failsafe: This indicates the storage in the 7-day failsafe area to protect against accidental data loss.

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