Giving Cloud Data Warehouses A Relational Knowledge Graph Overlay
The Next Platform, Tuesday, July 11,2023
The cloud has been a boon for enterprises trying to manage the massive amounts of data they collect every year. Cloud providers don't have the same scaling issues that dog on-premises environments. But storing the data is only part of the problem.
Pulling valuable business information from data housed in highly distributed IT environments - in the cloud, on premises, at the edge - to drive better business decisions is an ongoing challenge. As we noted last year, cloud data warehouse provider Snowflake over the past several years has established itself as a place companies can house all or most of their data, helping to at least simply the storage and management of it all.
Still, if an enterprise wants to analyze that data, particularly as enterprise adoption of AI accelerates, there traditionally hasn't been an easy way to do it, even if - as with the Snowflake cloud-native data warehouse that has become the darling of enterprises and Wall Street alike - most of the data is in one place, according to Molham Aref, founder and CEO of six-year-old startup RelationalAI. As with much of enterprise IT, analyzing the data is a complex act that calls for pulling together multiple point products.