Survey on NoSQL database

By Jing Han, Guan Le, Pcncad Center, Jianhai Du. 2011 6th International Conference on Pervasive Computing and Applications, 2011

892 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/8162d4f3bfce2055c9a53c267af66103c3bfd167

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Rodrigo Neves Calheiros
2. Rajkumar Buyya
3. Charith Perera
4. Marcos Dias de Assunção
5. D. Georgakopoulos
6. Peter Christen
7. Philip Chen
8. Kai Liu

In Information Systems

1. Rajkumar Buyya
2. Rodrigo Neves Calheiros
3. Charith Perera
4. Peter Christen
5. D. Georgakopoulos
6. Philip Chen
7. Kai Liu
8. Chunming Zhang

Citations in the corpus

• Context Aware Computing for The Internet of Things: A Survey (2013, background): “However, some of the recent trends and solutions in the noSQL [129] movement allows these structure alter-”
• Distributed data stream processing and edge computing: A survey on resource elasticity and future directions (2017, neutral): “The range of Data Storage solutions used to support a real-time architecture are numerous, ranging from relational databases, to key-value stores, in-memory databases, and NoSQL databases [31].”
• NoSQL Database: New Era of Databases for Big data Analytics - Classification, Characteristics and Comparison (2013, background): “(2011) classifies NoSQL databases according to the CAP theorem [14].”
• Big Data computing and clouds: Trends and future directions (2013, background): “This is the case of issues such as data quality [36] and data provenance [37].”
• Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014, background): “Therefore, NoSQL systems are very flexible for data modeling, and easy to update application developments and deployments [60].”
• Big Data and cloud computing: innovation opportunities and challenges (2017, methodology): “While non-relational (NoSQL) databases such as MongoDB and HBase are designed for Big Data (Han et al. 2011; Padhy, Patra, and Satapathy 2011), how to tailor these NoSQL databases to handle geospatial Big Data by developing efficient spatiotemporal indexing and querying algorithms is still a…”