Can the elephants handle the NoSQL onslaught?

Abstract

In this new era of "big data", traditional DBMSs are under attack from two sides. At one end of the spectrum, the use of document store NoSQL systems (e.g. MongoDB) threatens to move modern Web 2.0 applications away from traditional RDBMSs. At the other end of the spectrum, big data DSS analytics that used to be the domain of parallel RDBMSs is now under attack by another class of NoSQL data analytics systems, such as Hive on Hadoop. So, are the traditional RDBMSs, aka "big elephants", doomed as they are challenged from both ends of this "big data" spectrum? In this paper, we compare one representative NoSQL system from each end of this spectrum with SQL Server, and analyze the performance and scalability aspects of each of these approaches (NoSQL vs. SQL) on two workloads (decision support analysis and interactive data-serving) that represent the two ends of the application spectrum. We present insights from this evaluation and speculate on potential trends for the future.

SQL Versus NoSQL Movement with Big Data Analytics

“…Floratou et al [4] performed the Yahoo Cloud Serving Benchmark (YCSB) test on RDBMS and MongoDB. They tested SQL client sharded database against MongoDB auto and client sharded databases.…”

“…With the emergence of NoSQL databases new features and optimisation characteristics are evolving to overcome these limitations as well. However, their total capabilities are still not disclosed [4]. Also, due to the increasing differences in NoSQL database offerings and their non-standard features, businesses are not clear on what is the stand to take.…”

Big Data Management in the Cloud: Evolution or Crossroad?

“…There are many synthesis papers about data management in cloud systems [2,12,25,45,55]. Agrawal et al [2] and Chaudhuri [12] focus on the future challenges of clouds systems to meet the needs of applications.…”

“…Agrawal et al [2] and Chaudhuri [12] focus on the future challenges of clouds systems to meet the needs of applications. As far as the contributions of Floratou et al [25] and Stonebraker et al [55] they propose a performance comparison of applications with cloud systems and parallel database systems. They point out the advantages and drawbacks of each system depending on the application type.…”

Arquitetura de controle inteligente para interação humano-robô

“…Muito embora os BDs NoSQL ainda possuam desempenho inferior aos BDs relacionais (FLORATOU et al, 2012;HAN et al, 2011), eles tendem a aceitar modelos de dados mais flexíveis (FLORATOU et al, 2012), além de oferecer uma alternativa à SQL, que pode gerar códigos complexos que não atendem as necessidades do desenvolvimento ágil moderno (LEAVITT, 2010). A flexibilidade de projeto e acesso aos dados em um BD NoSQL foram as razões que levaram à sua adoção para compor o espaço de memória, conforme será detalhado na Seção 3.4.…”