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VoltDB

VoltDB is an in-memory database designed by Michael Stonebraker (who was involved in Ingres and POSTGRES), Sam Madden, and Daniel Abadi. It is an… 
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Related topics

Related topics

19 relations
ACIDC++Commitment orderingComparison of relational database management systems

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
NewSQL Through the Looking Glass
Several applications require to handle large and heterogeneous data volumes as well as thousands of OLTP transactions per second… 
2019
2019
More Exploration to Composable Infrastructure: The Application and Analysis of Composable Memory
Memory-Driven Computing facilitates real-world applications like in-memory database to benefit from substantial memory resources… 
2016
2016
Coordinating Green Clouds as Data-Intensive Computing
Cloud providers seek to maximize their market share, so they deploy datacenters to (1)Build a capacity that will accommodate the… 
2015
2015
LAYER: A cost-efficient mechanism to support multi-tenant database as a service in cloud
2015
2015
International Journal of Innovative and Emerging Research in Engineering
: With the current emphasis on “Big Data”, NoSQL databases have surged in popularity. These databases are claimed to perform… 
Review
2015
Review
2015
Comparative Survey of NoSQL/ NewSQL DB Systems
  • 2015
  • Corpus ID: 31676236
............................................................................................................................. 8 
Review
2014
Review
2014
NoSQL data management systems
In the last decade, a new class of data management systems collectively called NoSQL systems emerged and are now intensively… 
2014
2014
Today's Tidbit: VoltDB
WELCOME TO CLOUD TIDBITS! In each issue, I'll be looking at a different “tidbit” of technology that I consider unique or eye… 
Review
2014
Review
2014
NoSQL data management systems
In the last decade, a new class of data management systems collectively called NoSQL systems emerged and are now intensively… 
2012
2012
Elastic Scale-Out for Partition-Based Database Systems
An important goal for database systems today is to provide elastic scale-out, i.e., the ability to grow and shrink processing… 
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