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Will nosql databases Live Up to Their Promise?

COMPUTER 2010年第2期43卷 12-14页

作者： Leavitt, Neal Leavitt N.

Many organizations collect vast amounts of customer, scientific, sales, and other data for future analysis. Traditionally, most of these organizations have stored structured data in relational databases for subsequent access and analysis. However, a growing number of developers and users have begun turning to various types of nonrelational, now frequently called nosql-databases. Nonrelational databases, including hierarchical, graph, and object-oriented databases-have been around since the late 1960s. However, new types of nosql databases are being developed. And only now are they beginning to gain market traction. Different nosql databases take different approaches. What they have in common is that they're not relational. Their primary advantage is that, unlike relational databases, they handle unstructured data such as word-processing files, e-mail, multimedia, and social media efficiently. This paper discuss issues such as limitations, advantages, concerns and doubts regarding nosql databases.

关键词： databases nosql database nosql databases SQL nonrelational database object oriented database relational databases structured data storage

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Efficiency of nosql databases under a Moderate Application Load 10

Efficiency of NoSQL Databases under a Moderate Application L...

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10th International Workshop on databases in Networked Information Systems (DNIS)

作者： Arefin, Mohammad Shamsul Hossain, Khondoker Nazibul Morimoto, Yasuhiko Chittagong Univ Engn & Technol Comp Sci & Engn Dept Chittagong 4349 Bangladesh Hiroshima Univ Grad Sch Engn Hiroshima 730 Japan

ISBN: (纸本)9783319163130;9783319163123

Consider the fact, that the concepts of nosql databases have been developed and recently, big Internet companies such as Google, Amazon, Yahoo!, and Facebook are using nosql databases. Although the primary focus of nosql databases is to deal with huge volume of heterogeneous data, these can also be suited for handling moderate volume of data, especially if the data are heterogeneous and there are frequent changes in data. Considering this we consider the development and implementation of an application with moderate volume of heterogeneous data using a nosql database. We perform comparative performance analysis with a relational database system. The experimental evaluations show that nosql databases are also often suitable for handling moderate volume of data.

关键词： nosql database relational database data distribution mobile server

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ZQL: A Unified Middleware Bridging Both Relational and nosql databases

ZQL: A Unified Middleware Bridging Both Relational and NoSQL...

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IEEE DASC/PICom/DataCom/CyberSciTech Conferences

作者： Xu, Jie Shi, Mengjie Chen, Chaoyuan Zhang, Zhen Fu, Jigao Lin, Chi Harold Beijing Inst Technol Sch Software Beijing 100081 Peoples R China

ISBN: (纸本)9781509040650

A large amount of unstructured data arc being continuously generated by mobile applications, e.g., Facebook, Twitter and Foursquare, due to the popularity of smart devices, e.g., iPad, iWatch and smartphone. These data are undoubtedly of great value but need to be first well stored and then analyzed. Nevertheless, traditional relational database management system (RDBMS) is not well qualified for this job. As a result, nosql databases are proposed and become very popular. Judging from the present situations. RDMBSs play a better role in managing relational data, and thus application developers have to face the situation of co-existence of both RDBMS and nosql databases, and knowing the details of the underlying data distributions and structures of different databases. To this end, in this paper, we aim to propose a unified, transparent query engine, as a middleware, called "ZQL", by using MySQL and Hive as underlying two exemplary databases, however its usage goes far beyond these two databases. ZQL aims to support application development by hiding the specific details of both nosql databases and RDBMS. Finally, extensive experimental results show the effectiveness and functionalities of the proposed and implemented ZQL middleware.

关键词： middleware nosql database

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Development of a visual tool for the design of aggregate-oriented nosql databases 25

Development of a visual tool for the design of aggregate-ori...

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25th International Conference Information Visualisation (IV) - AI and Visual Analytics and Data Science

作者： Sarasa-Cabezuelo, Antonio Univ Complutense Madrid Fac Informat Dept Sistemas Informat & Comp Madrid Spain

ISBN: (纸本)9781665438278

The aggregation model is the foundation of some of the main nosql databases. This model is characterized because the basic element of management is the concept of aggregate. Furthermore, another characteristic is that it is not necessary to create a definition schema in the database to store information as in the case of relational databases. It is for this reason that in general there are no sophisticated design tools for databases oriented towards aggregates since the schema is implicit in the stored information. However, a design tool allows better management of the information to be stored and especially the maintenance of the database. This article presents a visual tool that allows you to design a nosql database oriented towards aggregates, as well as manage different designs. On the other hand, the tool allows generating instances of the design containing data for a MongoDB-type document database.

关键词： nosql database visual design tool aggregation model web application

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Performance Comparison between Five nosql databases 7

Performance Comparison between Five NoSQL Databases

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7th International Conference on Cloud Computing and Big Data (CCBD)

作者： Tang, Enqing Fan, Yushun Tsinghua Univ Dept Automat Tsinghua Natl Lab Informat Sci & Technol Beijing 100084 Peoples R China

ISBN: (纸本)9781509035557

Recently nosql databases and their related technologies are developing rapidly and are widely applied in many scenarios with their BASE (Basic Availability, Soft state, Eventual consistency) features. At present, there are more than 225 kinds of nosql databases. However, the overwhelming amount and constantly updated versions of databases make it challenging for people to compare their performance and choose an appropriate one. This paper is trying to evaluate the performance of five nosql clusters (Redis, MongoDB, Couchbase, Cassandra, HBase) by using a measurement tool YCSB (Yahoo! Cloud Serving Benchmark), explain the experimental results by analyzing each database's data model and mechanism, and provide advice to nosql developers and users.

关键词： nosql database performance comparison YCSB nosql cluster

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Capacity Measurement and Planning for nosql databases 11

Capacity Measurement and Planning for NoSQL Databases

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11th IEEE International Conference on Semantic Computing (ICSC)

作者： Pasumarti, Ramya Barot, Rushin Xia, Susie Xu, Ang Ramachandra, Haricharan LinkedIn Corp 1000 W Maude Ave Sunnyvale CA 94085 USA

ISBN: (纸本)9781509042845

Large-scale web services like LinkedIn serve millions of users across the globe. The user experience depends on high service availability and performance of the services. In such a scenario, capacity measurement is critical for these cloud services. Resources should be provisioned such that the service can easily handle peak traffic without experiencing bottlenecks or compromising on latency. In addition, accurate understanding of service capacity will lead to systematic provisioning of resources saving millions of dollars in capital investment and better savings in energy. Stateful services like nosql databases are one of the most expensive and critical components in a cloud stack. A clear understanding of the capacity limits of a stateful service will lead to better availability and performance across the stack. However, based on our experience, accurately measuring capacity of nosql databases is much more challenging than regular stateless services. In this work, we present various approaches to accurately measure the capacity of stateful nosql services, their benefits and costs, and discuss in detail about the solution we prefer to use.

关键词： nosql database Capacity Measurement Redline QPS Dark Canary Stateful Services

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Analyzing the Waiting Energy Consumption of nosql databases 12

Analyzing the Waiting Energy Consumption of NoSQL Databases

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IEEE 12th International Conference on Dependable, Autonomic and Secure Computing (DASC)

作者： Li, Tiantian Yu, Ge Liu, Xuebing Song, Jie Northeastern Univ Sch Informat Sci & Engn Shenyang Peoples R China Northeastern Univ Software Coll Shenyang Peoples R China

ISBN: (纸本)9781479950799

nosql database (nosql DB) covers the shortage of traditional database and has been widely used in recent years. Currently, researches on nosql DB mainly focus on performance issues;few of them are about energy consumption (EC) evaluation and optimization. Waiting Energy Consumption (WEC) is another critical reason causing energy waste besides computer idleness. Study the WEC regularities of nosql DB facilitates achieving real "green computing". This paper first analyzes the model and measurement approaches of EC;then designs test cases to study the WEC regularities;finally proposes approaches of "reducing WEC" for EC optimization. Plenty of experiments show that, despite that nosql DB is an application of "green cloud computing", the ECs of selected nosql DBs are widely divergent, and some of them remain to be further optimized.

关键词： nosql database waiting energy consumption MapReduce

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Integration of Relational and nosql databases 10th

Integration of Relational and NoSQL Databases

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10th Asian Conference on Intelligent Information and database Systems (ACIIDS)

作者： Pokorny, Jaroslav Charles Univ Prague Fac Math & Phys Prague Czech Republic

ISBN: (纸本)9783319754208;9783319754192

The analysis of relational and nosql databases leads to the conclusion that these data processing systems are to some extent complementary. In current Big Data applications, especially where extensive analyses are needed, it turns out that it is non-trivial to design an infrastructure involving data and software of both types. In terms of performance, it may be beneficial to use a polyglot persistence or multi-model approach or even to transform the SQL database schema into nosql and to perform data migration between the relational and nosql database. The aim of the paper is to show these possibilities and some new methods of designing such integrated database architectures.

关键词： Relational database nosql database Big Data Big Analytics database integration

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Integration of Relational and nosql databases

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VIETNAM JOURNAL OF COMPUTER SCIENCE 2019年第4期6卷 389-405页

作者： Pokorny, Jaroslav Charles Univ Prague Fac Math & Phys Malostranske Nam 25 Prague 11800 1 Czech Republic

The analysis of relational and nosql databases leads to the conclusion that these data processing systems are to some extent complementary. In the current Big Data applications, especially where extensive analyses (so-called Big Analytics) are needed, it turns out that it is nontrivial to design an infrastructure involving data and software of both types. Unfortunately, the complementarity negatively influences integration possibilities of these data stores both at the data model and data processing levels. In terms of performance, it may be beneficial to use a polyglot persistence, a multimodel approach or multilevel modeling, or even to transform the SQL database schema into nosql and to perform data migration between the relational and nosql databases. Another possibility is to integrate a nosql database and relational database with the help of a third data model. The aim of the paper is to show these possibilities and present some new methods of designing such integrated database architectures.

关键词： Relational database nosql database Big Data Big Analytics database integration

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Digital Forensics and nosql databases 11

Digital Forensics and NoSQL Databases

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11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Qi, Man Canterbury Christ Church Univ Dept Comp Canterbury CT1 1QU Kent England

ISBN: (纸本)9781479951482

The rapid development of computer storage technologies has brought Big Data challenges to digital forensics where the dimensions of digital evidence supports has grown exponentially with heterogeneous data sets structured, unstructured and semi-structured. Traditional relational database management systems (RDBMS) typically expose a query interface based on SQL (Structured Query Language). However, they are mainly employed for management of structured data and hard to scale to the ever growing size of data sets. This paper reviews nosql (Not Only SQL) database technologies as an alternative to RDBMS for management of Big Data. It introduces MongoDB and Riak as two representative nosql databases and evaluates their performance in data processing using the Amazon EC2 Cloud.

关键词： Digital forensics big data nosql database

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