Snowflake started with a clear vision: make modern data warehousing effective, affordable and accessible to all data users.
- In summary, we consider that Snowflake has four key features:
- It can be provisioned in either Azure or AWS clouds, with seamless integration to both.
- It has the ability to automatically flex and scale dynamically according to demand, for example to meet fluctuating or seasonal workloads.
- It also has impressive data sharing capabilities.
- It supports historical "point in time" analysis.
Today, data is generated by diverse and rapidly changing sources. In addition, multiple stakeholders need to simultaneously use data in a multitude of different ways, in real time.
To overcome these barriers, Snowflake has built an entirely new way to load, integrate and analyse data that combines the power of data warehousing, the flexibility of big data platforms and the elasticity of the cloud, at a fraction of the cost of many traditional solutions. Snowflake offers the modern enterprise elasticity, secure data sharing and per-second pricing, across multiple clouds.
Snowflake has addressed all of the key limitations of traditional cloud and on-premises data warehouses and more recent NoSQL solutions. You can easily store all your data, enable all your users with zero management, pay the way you want to, and use the ANSI SQL you already rely on – all on a secure platform that enables your organisation to become a data-driven enterprise.
In addition, Snowflake has extended the cloud-built data warehouse to The Data Sharehouse™️
via the feature Snowflake Data Sharing. Organsations of all sizes can easily and securely share governed data in real time across business units, with their networks of partners and customers, and with other external data consumers by monetising their data.
To find out more about how Snowflake could power your analytics to gain greater insight for the business, please contact us here
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