Snowflake Advantages


By Mike Sargo

Chief Data and Analytics Officer and Co-Founder of Data Ideology  

The Snowflake Data Platform is a robust, cloud-built data platform delivered as a service.  

A single place for Data

Scale & Concurrency

Near zero management

Instant, live data sharing

Cross-Cloud Deployment Capabilities

Cross-Cloud Deployment Capabilities support your multi-cloud strategy in the following cloud platforms: Amazon (AWS), Microsoft (Azure), and Google (GCP).

Leveraging a multi-cloud strategy enables your organization to avoid vendor lock-in while taking advantage of the varying services that the major cloud providers offer, especially around security, applications, and analytics services.

Separate workload clusters

Separate workload clusters enable the ability to separate compute clusters against the same data with both consistency and integrity.

The ability to separate workloads can support data scientists and data analysts as well as analytics and reporting, IT workloads, and various other workloads with one platform while providing a single source of the truth.

Virtually unlimited query concurrency supports simultaneous operations. 

Snowflake can scale with virtually unlimited computing capacity to handle even your most robust peak demand.

High performance queries on JSON. 

Snowflake provides the ability to get a holistic view of your organization with more advanced insights by leveraging the capability to run JSON queries more efficiently.

High performance queries across a broad range of structured data types.

Snowflake provides the ability to get a holistic view of your organization with more advanced insights by leveraging the capability to run JSON queries more efficiently.

Quickly scale up & down (vertically), out & in (horizontally), or off, without disruption.

Your organization will be able to elastically scale the Snowflake data warehouse resources easily and without any disruption to queries that are currently running. In addition, you will benefit from the cost efficiencies of not incurring compute charges when your Snowflake compute is idle. 

Automatic database management.

Snowflake is delivered as a service, eliminating the time and effort of managing data warehouse infrastructure. 

No parameters, no distribution, key management, no tuning, no vacuuming.

Snowflake enables organizations to maximize their valuable data engineering resources, eliminating tedious tasks and the need to spend their limited time on higher-value data engineering projects. 

Complete SQL database and data warehouse

Snowflake is a robust, enterprise-grade ANSI SQL and provides the best compatibility with your enterprise data warehouse applications, in addition to including multi-statement transaction support.

Built-in high availability data protection and data retention

Snowflake has the capability to retain and recover data up to 90 days, which protects your organization against node failures, human errors, unfortunate events, and malicious attacks.

Cost-effective storage pricing

Store data in a compressed format at a very budget-friendly cost and as expensive premium storage is not required for Snowflake.

The Snowflake Cloud Data Platform is redefining what it means to be a cloud data warehouse, as well as providing capabilities that are unmatched by others in the marketplace.   

Our customers are both leveraging the advantages of Snowflake to focus on strategic decision-making and becoming data-driven organizations, respectively. Success with Snowflake will lead to building a data foundation that future initiatives can build on to further advance and grow the organization's data and analytics capabilities. 

Written by Mike Sargo
Mike Sargo is Chief Data and Analytics Officer and Co-Founder of Data Ideology with over 18 years of experience leading, architecting, implementing, and delivering enterprise analytics, business intelligence, and enterprise data management solutions.

Snowflake vs Azure E-Book

Data Ideology has created a Free Comprehensive E-Book that highlights many of the key differences, advantages and disadvantages to consider when starting your Cloud Data Migration Journey.

Data Governance

Gaining executive buy-in through Data Governance

Data governance is a challenging topic and directly affects how an organization interacts with its data. Successfully applying a Data Governance strategy requires managing the dynamics of an organization that allows for organizational change.
Data Governance

How to get started with Data Governance

Many of our customers have grown primarily through mergers and acquisitions to achieve accelerated growth. As a result, the organization quickly faces the prospects of multiple applications and systems that deliver similar functions and store the same data.
Data Governance

Data Governance: Lessons learned for best practices

How do we gain buy-in with enterprise Data Governance and data quality programs and processes when your organization is exercising caution due to past failures? Data Governance has become a critical discipline and important area of focus for organizations to realize operational efficiency and to support business growth.