Why is it that organizations are increasingly migrating databases with AWS DMS to Snowflake? To understand this better, it is necessary to understand what AWS DMS and Snowflake are all about.
AWS DMS
The Amazon Web Service Database Migration Service (AWS DMS) is a cloud-based platform. It is the perfect service for migrating databases from on-premises servers to the cloud, or between data warehouses, NoSQL databases, or relational databases. For AWS DMS to function, at least one among the source and the target databases should be operating in the cloud.
The benefit of using AWS DMS for database migration is that it is fully automated even when the keys and the tables needed for migration are not present in the target database. Further, users get all the optimized features of the cloud such as security, data usage elasticity, cost-efficiency, and improved performances when databases are migrated with AWS DMS.
Snowflake
Just as in AWS DMS Snowflake offers a wide range of benefits that make database migration with AWS DMS to Snowflake a very attractive proposition for organizations.
Here are some of the key ones.
The Snowflake cloud-based data warehouse offers high levels of agility and elasticity. Users can scale up or down in resource usage by paying only for the volume of storage used without any flat fees. This leads to a reduction in storage costs.
Snowflake offers high computational power. Even when multiple users simultaneously execute intricate queries, there is no drop or lag in performance.
Users can work with data in its native format that is, unstructured, semi-structured, or structured.
Snowflake is a fully-managed automated service and hence it is advisable to migrate databases using AWS DMS to Snowflake.
For more information on AWS DMS to Snowflake, click here.
Users, data providers, and customers can take their businesses to the next level and cross new frontiers in the Data Cloud by migrating their databases with AWS DMS to Snowflake. This is possible because Snowflake provides a great and optimized experience across various public clouds.
How to Migrate Databases with AWS DMS to Snowflake
The first step in the process is delivering data to the Amazon Simple Storage Service (S3) using the Amazon Kinesis Firehose.
Notifications through the Amazon Simple Notification Service (Amazon SNS) are sent when this data is received by Snowflake Snowpipe.
In the last step, this data is loaded into a Snowflake database.
The process is fully automated and users have access to continually generated data in seconds. This avoids putting multiple manual COPY commands while getting the benefit of support for semi-structured data on load.
On the downside, the Snowflake Snowpipe does not connect directly to Kinesis Data Firehose.
To migrate databases with AWS DMS to Snowflake, the Snowflake account must have the required permissions to create storage integrations with data present concurrently in a table in that account.