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SPADE: The System S Declarative Stream Processing Engine
Summary: Spade is System S's declarative stream engine, with an intermediate language to compose parallel data-flow graphs. It provides a type-generic operator toolkit and a code-generation framework that optimizes apps for SPC and scales across clusters.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 4060
- Venue
- SIGMOD
- Year
- 2008
- Pagerank
- 0.00011838188
- Overall Rank
- 1,467 | 89.81%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 18 of 18 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,793 |
Summingbird: A Framework for Integrating Batch and Online MapReduce Computations |
2014 |
VLDB |
0.00010522029 |
| 2,612 |
Muppet: MapReduce-Style Processing of Fast Data |
2012 |
VLDB |
8.4566845e-05 |
| 2,843 |
How to Architect a Query Compiler, Revisited |
2018 |
SIGMOD |
8.0334687e-05 |
| 3,572 |
SECRET: A Model for Analysis of the Execution Semantics of Stream Processing Systems |
2010 |
VLDB |
6.9525352e-05 |
| 4,407 |
DBToaster: A SQL Compiler for High-Performance Delta Processing in Main-Memory Databases |
2009 |
VLDB |
6.2033567e-05 |
| 5,044 |
Massive Scale-out of Expensive Continuous Queries |
2011 |
VLDB |
5.7338982e-05 |
| 5,131 |
One SQL to Rule Them All – an Efficient and Syntactically Idiomatic Approach to Management of Streams and Tables |
2019 |
SIGMOD |
5.6704313e-05 |
| 6,075 |
IBM InfoSphere Streams for Scalable, Real-Time, Intelligent Transportation Services |
2010 |
SIGMOD |
5.2210956e-05 |
| 6,135 |
Fast Data in the Era of Big Data: Twitter's Real-Time Related Query Suggestion Architecture |
2013 |
SIGMOD |
5.1908958e-05 |
| 6,469 |
Parallel Index-based Stream Join on a Multicore CPU |
2020 |
SIGMOD |
5.0448159e-05 |
| 7,036 |
Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories |
2019 |
VLDB |
4.850155e-05 |
| 7,709 |
Ananke: A Streaming Framework for Live Forward Provenance |
2021 |
VLDB |
4.667502e-05 |
| 7,735 |
From a Stream of Relational Queries to Distributed Stream Processing |
2010 |
VLDB |
4.6599101e-05 |
| 8,925 |
Enabling Signal Processing over Data Streams |
2017 |
SIGMOD |
4.4229886e-05 |
| 8,986 |
High Performance Stream Query Processing With Correlation-Aware Partitioning |
2014 |
VLDB |
4.4128163e-05 |
| 9,806 |
Railgun: managing large streaming windows under MAD requirements |
2021 |
VLDB |
4.2766788e-05 |
| 9,952 |
Distributed Stream KNN Join |
2021 |
SIGMOD |
4.236537e-05 |
| 11,678 |
Online Template Induction for Machine-Generated Emails |
2019 |
VLDB |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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