Starling: A Scalable Query Engine on Cloud Functions
Summary: Starling: scalable, serverless query engine with hundreds of stateless workers and mitigated stragglers. Delivers interactive latency at lower total cost than provisioned clusters for bursty analytics; scales to larger data, including 1TB TPC-H datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Matthew Perron
- 2. Raul Castro Fernandez
- 3. David DeWitt
- 4. Samuel Madden
Incoming Citations (Sorted by Pagerank)
Showing 36 of 36 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 853 | Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask | 2018 | VLDB | 0.00015940507 |
| 924 | Serverless Computing: One Step Forward, Two Steps Back | 2019 | CIDR | 0.00015272958 |
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