S-Store: A Streaming NewSQL System for Big Velocity Applications
Summary: Extends H-Store with streaming primitives (push-based processing, triggers, windows, hidden-state tables) to provide ACID for continuous dataflow. Demonstrates improved throughput and correctness versus naive H-Store via real-time leaderboards and city-scale bike rentals. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ugur Cetintemel
- 2. Jiang Du
- 3. Tim Kraska
- 4. Samuel Madden
- 5. David Maier
- 6. John Meehan
- 7. Andrew Pavlo
- 8. Michael Stonebraker
- 9. Erik Sutherland
- 10. Nesime Tatbul
- 11. Kristin Tufte
- 12. Hao Wang
- 13. Stanley Zdonik
Incoming Citations (Sorted by Pagerank)
Showing 14 of 14 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 137 | H-Store: A High-Performance, Distributed Main Memory Transaction Processing System | 2008 | VLDB | 0.00042342967 |
| 288 | Storm @Twitter | 2014 | SIGMOD | 0.00028939871 |
| 679 | Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems | 2012 | SIGMOD | 0.00018215154 |
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