A streaming OLTP system for big velocity applications. Is the world's first streaming OLTP engine, which seeks to seemlessly combine online transactional processing with push-based stream processing for real-time applications.
http://sstore.cs.brown.edu/
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S-Store | sstore.cs.brown.edu Reviews
https://sstore.cs.brown.edu
A streaming OLTP system for big velocity applications. Is the world's first streaming OLTP engine, which seeks to seemlessly combine online transactional processing with push-based stream processing for real-time applications.
sstore.cs.brown.edu
S-Store | People
http://sstore.cs.brown.edu/people.html
S-Store is a collaboration between Brown University. And Carnegie Mellon University. Intel Labs / MIT. Portland State / Intel.
S-Store | About
http://sstore.cs.brown.edu/about.html
Stream processing addresses the needs of real-time applications. Transaction processing addresses the coordination and safety of short atomic computations. In the past, these two modes of operation were found only in separate, stove-piped systems. However, with the creation of NewSQL OLTP systems, it becomes possible to perform scalable real-time operations without sacrificing transactional support. Enter S-Store. The world’s first transactional streaming database system. S-Store is built on H-Store.
S-Store
http://sstore.cs.brown.edu/index.html
A streaming OLTP system for big velocity applications. Is the world's first streaming OLTP engine, which seeks to seemlessly combine online transactional processing with push-based stream processing for real-time applications.
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Projects - Brown University Data Management Research Group
http://database.cs.brown.edu/projects
Data Management Research Group. December 12th, 2015. 20/20: Human-in-the-Loop Data Exploration. QUDE: Quantifying Uncertainty in Data Exploration. Tupleware: Redefining Modern Analytics. S-Store: A streaming OLTP system for big velocity applications. SciDB: Data Management System for Scientific Applications. MLbase: Distributed machine learning made easy. H-Store: A Next Generation OLTP DBMS. Longview: Querying the Future Now. Automatic Design for Next-Generation Database Systems.
Nesime Tatbul - Home
http://people.csail.mit.edu/tatbul
Senior Research Scientist, Intel Labs. Visiting Scientist, MIT CSAIL. Intel Science and Technology Center for Big Data. 1 617 253 0201. Selected Publications [ Full List. J Meehan, N. Tatbul, S. Zdonik, C. Aslantas, U. Cetintemel, J. Du, T. Kraska, S. Madden, D. Maier, A. Pavlo, M. Stonebraker, K. Tufte, H. Wang, " S-Store: Streaming Meets Transaction Processing. 8(13), September 2015. [ bibtex. 8(12), August 2015. [ bibtex. Demonstration, International Conference on Very Large Data Bases ( VLDB'14.
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S-Store
A streaming OLTP system for big velocity applications. Is the world's first streaming OLTP engine, which seeks to seemlessly combine online transactional processing with push-based stream processing for real-time applications.
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