UNDERSTANDING THE TECHNOLOGICAL TRENDS AND QUANTITATIVE ANALYSIS OF NEWSQL DATABASES

dc.contributor.advisorNicholas, Charles
dc.contributor.authorVerma, Rakshit
dc.contributor.departmentComputer Science and Electrical Engineering
dc.contributor.programComputer Science
dc.date.accessioned2019-10-11T13:43:15Z
dc.date.available2019-10-11T13:43:15Z
dc.date.issued2017-01-01
dc.description.abstractModern database systems have come a long way from the first IBM system R, which is considered the first relational database management system, to modern days cloud databases. A recent survey pointed out that around 90% of the data we have was generated in the last 2 years alone. And with the growing reach of Internet and Internet applications the generated data became so large that it was eventually referred as Big Data. To store this rapidly expanding data efficiently, NoSQL databases were developed that have a high horizontal scaling and can be run on cheap commodity hardware. But, NoSQL lacks a key property of traditional RDBMS. It lacks ACID transactional properties and provides availability over consistency. Many enterprise solutions(Ex. Financial systems) need to scale but cannot give up transactional and consistency requirements. So a new type of system, named NewSQL are being developed which aims to provide the best of both worlds (RDBMS and NoSQL)transactional properties of RDBMS and scalability of NoSQL. In this theses, we study the technological trends in databases and also bench-mark and compare the upcoming NewSQL databases. We will also try to understand if these NewSQL systems are here to stay or they are just a stepping stone in the world of ever evolving technologies.
dc.genretheses
dc.identifierdoi:10.13016/m2hq3s-nce6
dc.identifier.other11623
dc.identifier.urihttp://hdl.handle.net/11603/15528
dc.languageen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Theses and Dissertations Collection
dc.relation.ispartofUMBC Graduate School Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please see http://aok.lib.umbc.edu/specoll/repro.php or contact Special Collections at speccoll(at)umbc.edu
dc.sourceOriginal File Name: Verma_umbc_0434M_11623.pdf
dc.subjectBenchmark
dc.subjectHTAP
dc.subjectLatency
dc.subjectNewSQL
dc.subjectTPC-H
dc.titleUNDERSTANDING THE TECHNOLOGICAL TRENDS AND QUANTITATIVE ANALYSIS OF NEWSQL DATABASES
dc.typeText
dcterms.accessRightsDistribution Rights granted to UMBC by the author.

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Verma_umbc_0434M_11623.pdf
Size:
1.59 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
VermaR_Understanding_Open.pdf
Size:
43.04 KB
Format:
Adobe Portable Document Format
Description: