Throughput rates of Simple Operations when Scaling-out with RDBMS and NoSQL Databases
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Summary
This thesis describes the measured maximum throughput rates of read and write operations at RDBMS and NoSQL databases with one to four machines and shows a potential for future databases.
- Type
- article
- Published
- 2012-11-21
- Cited by
- 0
- References
- 33
- Access
- Open access
- OpenAlex
- https://openalex.org/W192256633
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:60312849
Keywords
NoSQL, Throughput, Database, Computer science, Relational database management system
References
- Bigtable: a distributed storage system for structured data
- Finding faulty components in a dynamic distributed system at runtime
- Performance of update algorithms for replicated data in a distributed database
- The Transaction Concept: Virtues and Limitations (Invited Paper)
- SQL databases v. NoSQL databases
- Are quorums an alternative for data replication?
- A comparison of flexible schemas for software as a service
- The state of the art in locally distributed Web-server systems
- Benchmarking cloud serving systems with YCSB
- Principles of transaction-oriented database recovery
- Cluster-based scalable network services
- OLTP through the looking glass, and what we found there
- Brewer's conjecture and the feasibility of consistent, available, partition-tolerant web services
- Cassandra: a decentralized structured storage system
- Towards robust distributed systems (abstract)
- The Unreasonable Effectiveness of Data
- The dangers of replication and a solution
- Space/time trade-offs in hash coding with allowable errors
- An efficient and fault-tolerant solution for distributed mutual exclusion
- YCSB++: benchmarking and performance debugging advanced features in scalable table stores
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