Companies are falling short of realizing the potential of data because of the proliferation of data silos.
With the rise of the application cloud (Salesforce, Workday) and infrastructure clouds (AWS, Azure, Google Cloud), the amount of data we have to drive our businesses has exploded, but that data is now spread across different silos and environments.
To drive business value, innovators in every industry have to gather data sourced from different databases, business units, suppliers, partners and customers.
All these silos are expensive and time-consuming to extract value from, and governance and collaboration are nearly impossible across multiple technologies and clouds.
Snowflake offers SaaS on multiple cloud platforms ( AWS, Azure, GCP) and enable to scale up or down based on requirements and runs faster queries.
Snowflake automatically optimizes how the data is stored and queried irrespective the nature of data ( structured or semi-structured ) for analysis.
Snowflake maintains multi-cluster architecture; each virtual warehouse runs independent to another virtual warehouse and can scale up or down based on requirement.
Snowflake enable user to share data sets with another snowflake user. Organizations can directly share data with consumers.
Snowflake supports distributed availability zones on multi cloud platform and designed considering high-availability at core, enabling cross-platform disaster recovery and data availability.