Name
Abstract | ||
|---|---|---|
Cassandra is an open source distributed data store system designed for managing and storing huge amounts of data. It can serve as both a read-intensive database for large-scale business intelligence systems and a real-time operational data store for online transactional applications. In this article, we describe three of the most relevant benchmarks that were developed to assess both NoSQL and big data capabilities and complex analytic functionality (YCSB, BigBench, and TPC-DS). We also review the Cassandra database explaining its characteristics and operational principles. The main focus of this paper is to explain the three benchmarks and Cassandra in order to present the results we obtained from this database. |
Year | Venue | Field |
|---|---|---|
2015 | IJBPIM | Data mining,Computer science,Distributed data store,NoSQL,Operational data store,Business intelligence,Transactional leadership,Big data,Database,Benchmarking |
DocType | Volume | Issue |
Journal | 7 | 4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Melyssa Barata | 1 | 5 | 2.52 |
| Jorge Bernardino | 2 | 2 | 1.77 |
| Pedro Furtado | 3 | 204 | 55.67 |