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AWS cuts database prices almost 50% and adds distributed scaling capabilities
AWS has launched new features for DynamoDB, Aurora and MemoryDB cloud databases to help scale distributed workloads and lower costs.
“Database is a critical building block in your applications, and it’s part of the bigger picture of our vision for data analytics and AI.” AWS is now rethinking how distributed SQL architecture works in an attempt to accelerate reads and writes for always-available applications. “We opted for DynamoDB global tables as a primary system for seating assignments due to its exceptional scalability and active-active, multi region, high availability, which offers single digit millisecond latency,” said Nayar.
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