Snowflake Data Warehouse Advantages
By Mike Sargo
Chief Data and Analytics Officer and Co-Founder of Data Ideology
The Snowflake Data Warehouse 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 Web Services (AWS), Microsoft (Azure), and Goodgle (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 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 supports 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 data storage pricing
Data storage 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.