One SQL to Rule Them All – an Efficient and Syntactically Idiomatic Approach to Management of Streams and Tables
Summary: Three-part proposal: time-varying relations underpin tables and streams, event-time semantics, and compact SQL extensions to control materialization. Shows standard SQL suffices for robust streaming with these additions, illustrated in Calcite, Flink, and Beam. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Edmon Begoli
- 2. Tyler Akidau
- 3. Fabian Hueske
- 4. Julian Hyde
- 5. Kathryn Knight
- 6. Kenneth Knowles
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,011 | SQL Has Problems. We Can Fix Them: Pipe Syntax In SQL | 2024 | VLDB | 5.7544221e-05 |
| 6,726 | Beyond Analytics: The Evolution of Stream Processing Systems | 2020 | SIGMOD | 4.9444528e-05 |
| 6,986 | CrocodileDB: Efficient Database Execution through Intelligent Deferment | 2020 | CIDR | 4.8672517e-05 |
| 8,911 | What's the Difference? Incremental Processing with Change Queries in Snowflake | 2023 | SIGMOD | 4.4229886e-05 |
| 9,027 | CrocodileDB in Action: Resource-Efficient Query Execution by Exploiting Time Slackness | 2020 | VLDB | 4.4011428e-05 |
| 10,624 | Unraveling the Impact of Window Semantics: Optimizing Join Order for Efficient Stream Processing | 2025 | VLDB | 4.1905499e-05 |
| 11,438 | Synchronization Schemas | 2021 | PODS | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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