Sign up to get the latest news and developments in technology, business analytics, data science and Polestar
Cloud has evolved quite considerably throughout the last decade providing confidence to organizations still hoping on legacy systems for their data and analytics ventures. There’s an excess of choices for organisations enthusiastic about their immediate or specific data management needs.
This article addresses anyone or any organization that is looking for data warehousing options that are accessible in the cloud and shine a light on Snowflake - a cloud data platform, and how it perfectly fits if you are thinking of migrating to a new cloud data warehouse.
The cloud data warehouse market is a very challenging space but is also characterised by the specialised offerings of different players. Azure, AWS Redshift, SQL data warehouse, and Google BigQuery are big alternatives that are available in a rapidly advanced data warehousing market, which estimates its value in excess of 18 billion USD.
The main reason for driving the evolution of modern data warehousing is 'Cloud'. The cloud brings:
With many big and renowned names in the technology space, you need to bring something unique to make a mark. Snowflake has surprisingly pulled that off.
Snowflake As Cloud Data Platform
Snowflake is a data warehouse solution built for the cloud with a unique architecture provided as a SaaS (Software-as-a-Service) with full support for ANSI SQL, Snowflake data warehouse built on top of the AWS, Google Cloud or Azure cloud infrastructure and delivers an extensive range of technology solutions covering data integration, BI, advanced analytics, security & governance making adoption quick and facile.
First of all Snowflake architecture is what makes it most popular. It delivers the scale, performance, and automation that simply isn’t possible with a standard data warehouse or big data platform that has been moved to the cloud.
The Snowflake Architecture:
Snowflake is built to be an enterprise-ready service for any organization that wants to modernize its Cloud Data Warehousing solution for unlimited scalability & convincing performance. Besides offering high degrees of usability and interoperability, enterprise readiness means high availability.
To this end, Snowflake is a service-oriented architecture composed of high fault tolerance and independently scalable services. These services communicate through restful interfaces & fall under three architectural layers.
Snowflake is a data warehouse solution built for the cloud with a unique architecture provided as a SaaS (Software-as-a-Service) with full support for ANSI SQL, Snowflake data warehouse is built on top of the AWS, Google Cloud or Azure cloud infrastructure and delivers an extensive range of technology solutions covering data integration, BI, advanced analytics, security & governance making adoption quick and facile.
First of all Snowflake architecture is what makes it most popular. It delivers the scale, performance, and automation that simply isn’t possible with a standard data warehouse or big data platform that has been moved to the cloud.
Snowflake is built to be an enterprise-ready service for any organization that wants to modernize its Cloud Data Warehousing solution for unlimited scalability & convincing performance. Besides offering high degrees of usability and interoperability, enterprise-readiness means high availability.
To this end, Snowflake is a service-oriented architecture composed of high fault tolerance and independently scalable services. These services communicate through restful interfaces & fall under three architectural layers.
Source: Snowflake
The balance between these features and its flexible pricing policy, Snowflake truly left behind its competitors on analytical workloads - both traditional on-premise storage & other cloud-based solutions, like Oracle, Redshift, Teradata, SQL Server, or Azure DWH.
SUGGESTED READING: BEST 4 CLOUD DATA WAREHOUSE SOLUTIONS IN 2020
Data warehousing is promptly taking a move towards the cloud, and solutions such as Snowflake provide some clear-cut advantages over legacy technologies as outlined above.
With the traditional data warehousing methods and underlying technologies, business users have been facing a lot of hurdles and challenges to deliver the quality of service, simplicity, and value to keep up with rapidly changing business needs.
However, with a modern architecture Snowflake delivers exceptional performance, concurrency and easiness which make it a perfect platform, built to compile diverse data into one single layer for data analytics efforts and presents an appealing proposition in the form of Cloud Data Warehousing solution for unlimited scalability.
Need Snowflake Cloud Data Warehousing & Migration Assistance?
Polestar, an official Snowflake strategic Partner, can help bring your data from diverse sources to Snowflake in real-time. You can reach out to us or take up a free trial if you need help in setting up your Snowflake Architecture or connecting your data sources to Snowflake & would be delighted to work under your specifics in this plot.
About Author
Data strategist
Data isn't about collection; it's about management and insight.