Shasta: Interactive Reporting At Scale
Summary: Shasta is a Google middleware layer atop F1 and Mesa for interactive reporting over complex, read-unfriendly schemas. It introduces RVL, a modular view language compiled to SQL, and a distributed in-memory cache for low latency and fresh results at scale. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Gokul Nath Babu Manoharan
- 2. Stephan Ellner
- 3. Karl Schnaitter
- 4. Sridatta Chegu
- 5. Alejandro Estrella-Balderrama
- 6. Stephan Gudmundson
- 7. Apurv Gupta
- 8. Ben Handy
- 9. Bart Samwel
- 10. Chad Whipkey
- 11. Larysa Aharkava
- 12. Himani Apte
- 13. Nitin Gangahar
- 14. Jun Xu
- 15. Shivakumar Venkataraman
- 16. Divyakant Agrawal
- 17. Jeffrey D. Ullman
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,355 | F1 Query: Declarative Querying at Scale | 2018 | VLDB | 7.1829142e-05 |
| 3,768 | F1 Lightning: HTAP as a Service | 2020 | VLDB | 6.7782774e-05 |
| 9,969 | Semantic Data Modeling, Graph Query, and SQL, Together at Last? | 2026 | CIDR | 4.1945683e-05 |
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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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0024183614 |
| 66 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00061639801 |
| 151 | Optimizing Queries across Diverse Data Sources | 1997 | VLDB | 0.00041016476 |
| 906 | F1: A Distributed SQL Database That Scales | 2013 | VLDB | 0.00015448884 |
| 1,286 | Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams | 2013 | SIGMOD | 0.0001282373 |
| 1,814 | Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing | 2014 | VLDB | 0.00010458107 |
| 2,844 | Towards Scalable Real-time Analytics: An Architecture for Scale-out of OLxP Workloads | 2015 | VLDB | 8.0243849e-05 |
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