One of the key advances in resolving the big-data problem has been the emergence of an alternative database technology. Today, classic RDBMS are complemented by a rich set of alternative Data Management Systems (DMS) specially designed to handle the volume, variety, velocity and variability ofBig Data collections; these DMS include NoSQL, NewSQL and Search-based systems. NewSQL is a class of modern relational database management systems (RDBMS) that provide the same scalable performance of NoSQL systems for online transaction processing (OLTP) read-write workloads while still maintaining the ACID guarantees of a traditional database system. This paper discusses about NewSQL data management system; and compares with NoSQL and with traditional database system. This paper covers architecture, characteristics, classification of NewSQL databases for online transaction processing (OLTP) for Big data management. It also provides the list ofpopular NoSQL as well as NewSQL databases in separate categorized tables. This paper compares SQL based RDBMS, NoSQL and NewSQL databases with set of metrics; as well as, addressed some research issues ofNoSQL and NewSQL.
翻译:解决大数据问题的关键进展之一是出现了替代数据库技术。今天,传统的数据库管理系统由一套丰富的替代数据管理系统(DMS)加以补充,这些系统专门设计是为了处理大数据收集的量、种类、速度和变异性;这些数据管理系统包括NOSQL、NewSQL和基于搜索的系统。新SQL是现代关系数据库管理系统(RDBMS)的一个类别,这些系统为在线交易处理(OLTP)读写工作量提供与NSQL系统相同的可缩放性能,同时保持传统数据库系统的ACID保证。本文讨论了新SQL数据管理系统;并与NSQL和传统数据库系统作了比较。本文涵盖用于大数据管理的新的SQL数据库的架构、特征、分类,用于在线交易处理的新的SQL数据库(OLTP),还提供不同分类表格中流行的NSQL数据库和新SQL数据库的清单。本文比较了基于RDBMS、NSQL和新SQL数据库的SQL,并讨论了新SQL的一些问题和新QL。