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Abstract: The efficient execution of data-intensive workflows relies on strategies to enable parallel data processing, such as partitioning and replicating data across distributed resources. The ...

Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had. If you wanted the database to handle more data and run faster, you ...

Distributed database consistency models form the backbone of reliable and high-performance systems in today’s interconnected digital landscape. These models define the guarantees provided by a ...

Google today announced the beta launch of Cloud Spanner, a new globally distributed database service for mission-critical applications. Cloud Spanner joins Google’s other cloud-based database services ...

Oracle Corp. announced today that its Globally Distributed Autonomous Database is generally available. Aimed at customers that have strict data sovereignty requirements, usually because of regulations ...

At its re:Invent conference, Amazon’s AWS cloud computing unit today announced Amazon Aurora DSQL, a new serverless, distributed SQL database that promises high availability (99.999% for multi-region ...