"Enterprises relying heavily on high-speed SSDs often face steep costs, so they move infrequently accessed data to cheaper media. The trade-off has traditionally been complexity and latency, as accessing cold data can require switching systems and waiting through delays. What Google is now doing is eliminating those hurdles by making both hot and cold data accessible through the same database,"
"In these integrations, the database offloads cold data to this external system. Enterprises often have to manage two separate systems, deal with data movement pipelines, and potentially use different query methods for hot vs cold data,"
Enterprises often use high-speed SSDs for performance but incur steep costs, prompting migration of infrequently accessed data to cheaper media. That migration traditionally creates complexity and latency because accessing cold data can require switching systems and waiting through delays. Hyperscalers offer tiered storage (frequent, infrequent, archive) integrated with databases, where databases offload cold data to external storage. Managing separate systems requires handling data movement pipelines and possibly different query methods for hot versus cold data. Google eliminates operational hurdles by enabling both hot and cold data to be accessed through the same database, simplifying access and reducing latency.
Read at InfoWorld
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