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Snowflake: Beyond the Cloud Data Warehouse

Although the cloud offers an optimal platform for digital transformation, many legacy enterprise data warehouses (EDWs) that have been moved to the cloud are unable to truly leverage cloud capabilities like real-time data sharing. Part of this challenge is inherent in cloud warehouses that make it difficult to aggregate data from multiple places for greater insights. But this is not the case for Snowflake - built from the ground up for the cloud, Snowflake's unique set of features make it stand out from the existing cloud data warehousing solutions.


Here are the significant features of Snowflake that make it a dominant Data Cloud Platform:

1. Single Source of Truth

Migrating from a legacy data warehouse to the Snowflake cloud platform helps companies to unify, integrate, and analyse siloed data from disparate sources – to a single source of data truth.

2. Data Network Effect

Organisations can achieve network effect and scale their business by moving siloed data from cloud-based repositories and on-premises data warehouses to Snowflake.

As more users adopt the Snowflake Data exchange platform, it becomes valuable and attracts more consumers and vendors which in turn pulls more users onto the Snowflake platform creating a network effect.

3. Multi-cluster Warehouses

Traditional databases, even the ones deployed to the cloud, have fixed storage capacity. So, organizations with cloud deployed solutions often run into concurrency issues. Snowflake’s cloud architecture allows complete separation of compute from storage with multi-cluster warehouses.

Configuring a multi-cluster warehouse automatically adds separate clusters and drops them to support concurrency.

4. Secure Data Sharing

Traditional way of sharing data is very inefficient. Data is siloed across different databases, data warehouses and systems. However, Snowflake’s data sharing architecture eliminates the complexity of sharing data, allowing you to share live, ready-to-query data across regions and cloud platforms (like AWS, Microsoft Azure etc.) - without ETL. With thousands of ETL pipelines built over the years, companies often face the obstacle of translating ETL code to Snowflake. Learn how you can automate migration and run ETL pipelines natively in Snowflake using Snowpark, Snowflake’s developer tool.

In closing, these are not the only features that make Snowflake transcend beyond cloud data warehouses, but are the features draw organisations to select the Snowflake Data Cloud platform.

Checkout Guide: How to Migrate to Snowflake 60% Faster?

About Next Pathway

Next Pathway is the Automated Cloud Migration company. Powered by the SHIFT™ Migration Suite, Next Pathway automates the end-to-end challenges companies experience when migrating applications to the cloud. For more information, please visit nextpathway.com.

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