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The snowflake edition that your organization chooses to determine the unit costs for the credits and the data storage you use. Other factors that impact the unit costs are the region where the snowflake edition is situated and to differentiate between on demand and capacity account.
Let us define the terms “on-demand” and “capacity account”.
On demand: on demand is usage-based pricing that doesn’t require a long-term license.
Capacity: it is nothing but discounted pricing that is based on an upfront capacity commitment.
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In this section, we are going to explain the various Snowflake editions:
Snowflake offers four different editions, each providing progressively more features:
There are mainly four types of snowflake editions, they are;
The following image illustrates the types of snowflake editions and their features;
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Standard edition is an introductory level edition that provides full and unlimited access to all the snowflake features. This type of edition also provides a strong balance between features, level of support, and cost.
Features of Standard edition:
Release management:
No release management for the Snowflake standard edition because it is a free version to use.
Data import and export:
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Enterprise edition also provides the same features as the standard edition, with additional features which are specially designed to support large-scale business enterprises.
Release management:
24-hour early access to weekly new releases, which can be used for additional testing/validation before each release is deployed to your production accounts.
Security, governance, and data protection:
Compute resource management:
SQL support:
Interfaces and tools:
Data import and export:
Data pipelines:
Tasks for scheduling the execution of SQL statements, often in conjunction with table stream.
Data replication and failover:
Data sharing:
Customer support:
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Before it was known as “enterprise for sensitive data”, now we call it “Business critical edition”. The business-critical edition offers a higher level of data protection with the needs of an organization with extremely sensitive data, particularly PHI (protected health information) data that should comply with HIPAA (Health insurance probability and accountability act) and HItrust CSF regulations.
This edition also consists of the features same as Enterprise editions, additionally offers enhanced data security and data protection features.
Release management:
24 hours early access to weekly new releases which can be used for additional testing/ validation before each release is deployed to your production accounts.
Security, governance, and data protection:
Compute resource management:
SQL support:
Interfaces and tools:
Data import and export:
Data pipelines:
Data replication and failover:
Data sharing:
Customer support:
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Virtual private snowflakes offer the highest level security features for organizations that have the strictest requirements such as financial industries (banks, FinTech, and etc) and other large enterprises where they need to collect, analyze, and share highly sensitive data.
Release management:
24 hours early access to weekly new releases which can be used for additional testing/ validation before each release is deployed to your production accounts.
Security, governance, and data protection:
Compute resource management:
Interfaces and tools:
Data import and export:
Data pipelines:
Data replication and failover:
Customer support:
Final thought:
The Snowflake Editions article explains the core concepts of the Snowflake data clouds such as Types of editions and different features. Snowflake data cloud is a popular cloud-based platform available in 4 editions formats like Standard, enterprise, business-critical, and Virtual private snowflake. Stay tuned for more articles that are related to the Snowflake data cloud.
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As a senior Technical Content Writer for HKR Trainings, Gayathri has a good comprehension of the present technical innovations, which incorporates perspectives like Business Intelligence and Analytics. She conveys advanced technical ideas precisely and vividly, as conceivable to the target group, guaranteeing that the content is available to clients. She writes qualitative content in the field of Data Warehousing & ETL, Big Data Analytics, and ERP Tools. Connect me on LinkedIn.
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