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SQL at Scale: Mixed-Mode RDBMSs That Rival NoSQL Scalability

SQL at Scale: Mixed-Mode RDBMSs That Rival NoSQL Scalability

This IDC study examines the emerging class of relational database management systems (RDBMSs) that it calls dynamic SQL. This technology delivers full relational database support while also supporting elastic scalability, dynamic schema management and, in some cases, physically distributed database systems operating a single logical database. Like some of the more established competitors, it also supports analytic-transaction processing (ATP), allowing an application to blend transactional and analytical SQL in the same database request."It is often stated as an article of faith that relational databases are inherently limited in terms of their ability to scale, but there is nothing about the concept of a relational database that supports that," says Carl Olofson, research vice president for Data Management Software research at IDC. "A new class of RDBMS technologies has emerged in recent years that is designed to address these issues. The approaches taken make them distinctly different from their disk-optimized predecessors and enable them to scale at least as well as NoSQL competitors."

Please Note: Extended description available upon request.


IDC Opinion
In This Study
Situation Overview
Challenges
Technology Approaches
Multiversion Concurrency Control
Resource Elasticity
Scale-Out Clusters
Physically Distributed Databases
Vendors and Products
ClustrixDB
CockroachDB
Google Cloud Spanner
NuoDB
Splice Machine
Future Outlook
Essential Guidance
Learn More
Related Research
Synopsis

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