An Intellyx BrainCandy Update
Snowflake was named after its founder’s love of winter sports, so it’s safe to say this well-funded software-defined cloud data warehouse provider is starting to snowball.
Rather than porting existing databases or data cubes to cloud, Snowflake architected their core database to take advantage of cloud elasticity, by separating the functions of data storage and compute. Data and compute workloads can scale independently for both resource sizing and cost efficiency purposes, which also happens to allow multiple workloads to operate against the data warehouse with high concurrency.
A service management interface controls data source ingestion, security and access permissions, as well as managing distributed consumption and spend settings across the big 3 public cloud availability zones (AWS, Azure, Google).
Use cases feature heavy data analytics atop data lakes, machine learning and AI processing, and high-volume transactional business workloads for banks and retailers. A particularly unique scenario appearing among Snowflake’s customers is the aspect of data publishing or data streaming services for market feeds, informational media or entertainment and gaming purposes.
Intellyx previously covered Snowflake in 2017.
© 2019 Intellyx. At the time of writing, Snowflake is not an Intellyx customer. None of the other vendors mentioned here are Intellyx clients. Want to see more BrainCandy? Subscribe today. If you are a vendor seeking coverage from Intellyx, please contact us at PR@intellyx.com.
