Objectivity/DB: Difference between revisions

Revision as of 19:09, 1 July 2024

Revision as of 20:59, 1 September 2024

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Unlike [[RDBMS]]s, Objectivity/DB employs a unique approach to query handling. Applications initialize iterators that locate and retrieve qualified objects iteratively. The Parallel Query Engine divides queries into subtasks managed by remote query agents, which filter and process results before sending them back to the application. This approach includes components for query task division and refinement, optimizing performance for complex queries.

Databases and system data, including catalogs and [[Database schema|schemas]], can be replicated across multiple locations using a [[quorum]]-based synchronous replication mechanism. This ensures transparent resynchronization of replicas temporarily disconnected from the network.

The distributed architecture of Objectivity/DB has facilitated its adoption in [[grid computing]] environments and [[Service Oriented Architecture]] (SOA) applications. It holds certification as an IBM Ready for Grid product and supports the [[J2EE Connector Architecture]] (JCA) standard making it suitable for deployment in cloud environments.<ref name="cloudReady">{{cite web|url=http://www.neovise.com/node/89#|title=Objectivity: Complex Data-Management, Simplified|date=2014|publisher=Neovise|accessdate=December 2, 2014}}</ref>

==Typical applications==

Objectivity/DB finds applications in [[Data-intensive computing|data-intensive]] and real-time environments handling complex, interconnected data. It is utilized in software, hardware, commercial, scientific, and government projects, particularly in sectors like in [[computer-aided design]] (CAD), telecom, process control, manufacturing, medical instrumentation, defense, and large-scale scientific research.

The choice between RDBMS and ODBMS depends on specific application requirements. Objectivity/DB is favored in compute or data-intensive, object-oriented systems where its performance benefits are critical.