Top 3 reasons to migrate on-premises SQL to Snowflake on Azure

Top 3 reasons to migrate on-premises SQL to Snowflake on Azure

Cloud migration have changed a lot over the years. While cloud early adopters may have faced migration challenges surrounding planning, migrating, and processing on-premises data in the cloud, cloud migrations are relatively simple today. The tools have improved, and working with experienced migration partners generally makes the process painless and straightforward.

Today, organizations are faced with new challenges. Instead of experiencing issues during the actual migration itself, organizations must now navigate a complex ecosystem of new services and solutions to determine which are right for them.

Database migration

These challenges are especially present for organizations looking to migrate their SQL database to the cloud. For example, when considering a database migration, organizations need to consider things like:

  • The unique set of options offered by each major cloud provider
  • Third-party database solutions that can run on cloud providers like Microsoft Azure
  • The ecosystem of preferred data sources and partners for the organization’s cloud and database providers of choice

Additionally, IT professionals also need to consider aspects such as the tools used to migrate these workloads. For example, ETL (Extract, Transform, Load) tools work differently than ELT (Extract, Load, Transform) tools.

Snowflake logo

Three reasons to migrate to Snowflake on Azure

In addition to common cloud benefits such as scalable resources, organizations can streamline their SQL database migration by leveraging Snowflake on Azure. Having been born in the cloud, Snowflake is offered as a fully managed SaaS solution leveraging a pay-as-you-go-model. Snowflake also provides a range of database capabilities that simplify set up and migration.

 1. Ability to independently scale compute and storage

By running Snowflake on Microsoft Azure, organizations can leverage the virtually unlimited scalability of Azure infrastructure to enable auto-scaling. Since Snowflake was created for the cloud, it also uniquely isolates storage from computing, enabling each to be fully elastic and scale independently.

Allowing compute and storage to scale independently enables organizations to auto-scale for both workload performance and the number of concurrent workloads. This helps ensure databases are always right-sized, maximizing availability, and cost-efficiency.

2. Database capabilities and ELT support

Snowflake makes migration simple with database capabilities such as support for ELT tools such as Microsoft Azure Data Factory (ADF), Microsoft SQL Server Integration Service (SSIS), or even third party tools like Matillion and Fivetran. Rather than leveraging on-premises or third-party computing resources to transform data prior to loading it in the new environment, these tools enable organizations to quickly and efficiently extract and load on-premises data into Snowflake. From there, Snowflake leverages Azure’s quick and cost-effective computing resources to transform the data.

Transforming data in the cloud enables a much faster migration as it can process the data far more quickly than slow, on-premises resources.

Snowflake, as a data platform, also features several layers that unlock business benefits for organizations, including:

  • Database Storage Layer– ensures database high availability by synchronously replicating data across multiple disk devices and three separate availability zones in the same region
  • Virtual Warehouse Processing Layer– leverages independent compute clusters to separate workloads to avoid contention and allow infinite horizontal scalability
  • Cloud Services Layer– ensures functionality with other cloud services via a collection of global services that coordinate activities across the data warehouse

Snowflake is also capable of ingesting nearly any form of structured or semi-structured data and offers cross-cloud capabilities, making it an ideal database choice for organizations leveraging a multi-cloud strategy, or who may do so in the future.

3. Pay-as-you-go model

Offered as a fully managed service via a pay-as-you-go pricing model, Snowflake also unlocks potential tax benefits by enabling organizations to swap capital expenditures for operating expenditures. This, combined with a reduced TCO in the cloud means organizations stand to gain a significant financial benefit by migrating to Snowflake, in addition to all of the other benefits described above.

Snowflake delivers a popular easy-to-use enterprise-level database built for the cloud. Through their partnerships with key cloud providers and solution providers like Informatica, Looker, and Salesforce, Snowflake makes it simple to get started.

As a Snowflake partner and a Microsoft Gold Partner, Neal Analytics is well-positioned to help migrate to the cloud. Neal can also tap into its AI, machine learning, and data analytics expertise to take Snowflake databases to the next level by implementing and scaling out novel new use cases.

Ready to start migrating to Snowflake on Azure? Check out our quick start workshop to begin.

Neal can now help organizations plan and budget their SQL Server migration to Azure via Microsoft’s Azure Migration Engagement (AME) program. Click here to learn more. 

Contact us to learn more about migrating to Snowflake on Azure or check out our data modernization offer on Microsoft Appsource.