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)

Paper ID: 5269
Venue: SIGMOD
Year: 2016
Pagerank: 5.4574671e-05
Overall Rank: 8,272 | 43.25%
DOI: 10.1145/2882903.2904444

Incoming Non-self Citations Over Time

Authors

1. Gokul Nath Babu Manoharan (Google)
2. Stephan Ellner (Google)
3. Karl Schnaitter (Google)
4. Sridatta Chegu (Google)
5. Alejandro Estrella-Balderrama (Google)
6. Stephan Gudmundson (Google)
7. Apurv Gupta (Google)
8. Ben Handy (Google)
9. Bart Samwel (Google)
10. Chad Whipkey (Google)
11. Larysa Aharkava (Google)
12. Himani Apte (Google)
13. Nitin Gangahar (Google)
14. Jun Xu (Google)
15. Shivakumar Venkataraman (Google)
16. Divyakant Agrawal (Google)
17. Jeffrey D. Ullman (Stanford University)

BibTeX Citation

@inproceedings{manoharan_sigmod16,
        title = {{Shasta: Interactive Reporting At Scale}},
        author = {Manoharan, Gokul Nath Babu and Ellner, Stephan and Schnaitter, Karl and Chegu, Sridatta and Estrella-Balderrama, Alejandro and Gudmundson, Stephan and Gupta, Apurv and Handy, Ben and Samwel, Bart and Whipkey, Chad and Aharkava, Larysa and Apte, Himani and Gangahar, Nitin and Xu, Jun and Venkataraman, Shivakumar and Agrawal, Divyakant and Ullman, Jeffrey D.},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2904444},
        url = {https://dl.acm.org/doi/10.1145/2882903.2904444},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,889	F1 Query: Declarative Querying at Scale	2018	VLDB	7.9935046e-05
2,972	F1 Lightning: HTAP as a Service	2020	VLDB	7.9114157e-05
10,117	Semantic Data Modeling, Graph Query, and SQL, Together at Last?	2026	CIDR	5.093636e-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.

Rank	Cited Paper	Year	Venue	Pagerank
6	Pig Latin: A Not-So-Foreign Language for Data Processing	2008	SIGMOD	0.0010686205
24	Spark SQL: Relational Data Processing in Spark	2015	SIGMOD	0.00054865648
171	Optimizing Queries across Diverse Data Sources	1997	VLDB	0.00027363924
607	F1: A Distributed SQL Database That Scales	2013	VLDB	0.00015800238
1,171	Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams	2013	SIGMOD	0.00011826434
1,606	Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing	2014	VLDB	0.00010228576
2,583	Towards Scalable Real-time Analytics: An Architecture for Scale-out of OLxP Workloads	2015	VLDB	8.3849987e-05

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