Citus: Distributed PostgreSQL for Data-Intensive Applications
Summary: Open-source PostgreSQL extension enabling distribution of data, queries, and transactions across a cluster for data-intensive apps. Describes four workload patterns, benchmarks, and a Microsoft deployment to illustrate scalability and performance of the extension-based approach. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Umur Cubukcu
- 2. Ozgun Erdogan
- 3. Sumedh Pathak
- 4. Sudhakar Sannakkayala
- 5. Marco Slot
Incoming Citations (Sorted by Pagerank)
Showing 14 of 14 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 44 | The Design Of Postgres | 1986 | SIGMOD | 0.00071838587 |
| 156 | Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases | 2017 | SIGMOD | 0.00040504295 |
| 390 | CockroachDB: The Resilient Geo-Distributed SQL Database | 2020 | SIGMOD | 0.00024607299 |
| 426 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD | 0.00023594359 |
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