Monarch: Google’s Planet-Scale In-Memory Time Series Database
Summary: Monarch is a multi-tenant, planet-scale in-memory time-series DB ingesting terabytes/sec and serving millions of queries. Its regionalized architecture plus global query/configuration planes provide reliable, unified operation with expressive relational modeling. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Colin Adams (Google)
- 2. Luis Alonso (Google)
- 3. Benjamin Atkin (Google)
- 4. John Banning (Google)
- 5. Sumeer Bhola (Google)
- 6. Rick Buskens (Google)
- 7. Ming Chen (Google)
- 8. Xi Chen (Google)
- 9. Yoo Chung (Google)
- 10. Qin Jia (Google)
- 11. Nick Sakharov (Google)
- 12. George Talbot (Google)
- 13. Adam Tart (Google)
- 14. Nick Taylor (Google)
BibTeX Citation
@article{adams_vldb20,
title = {{Monarch: Google’s Planet-Scale In-Memory Time Series Database}},
author = {Adams, Colin and Alonso, Luis and Atkin, Benjamin and Banning, John and Bhola, Sumeer and Buskens, Rick and Chen, Ming and Chen, Xi and Chung, Yoo and Jia, Qin and Sakharov, Nick and Talbot, George and Tart, Adam and Taylor, Nick},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {3181--3194},
doi = {10.14778/3181-3194},
url = {https://doi.org/10.14778/3181-3194},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 148 | Gorilla: A Fast, Scalable, In-Memory Time Series Database | 2015 | VLDB | 0.0002900671 |
| 806 | Universality of Serial Histograms | 1993 | VLDB | 0.00013792174 |
| 1,500 | M4: A Visualization-Oriented Time Series Data Aggregation | 2014 | VLDB | 0.0001046347 |
| 1,911 | ModelarDB: Modular Model-Based Time Series Management with Spark and Cassandra | 2018 | VLDB | 9.3912399e-05 |
| 2,915 | F1 Query: Declarative Querying at Scale | 2018 | VLDB | 7.8616593e-05 |
| 4,590 | Window-Aware Load Shedding for Aggregation Queries over Data Streams | 2006 | VLDB | 6.5139479e-05 |
| 4,680 | Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes | 2018 | VLDB | 6.4722037e-05 |
| 6,079 | Data Ingestion for the Connected World | 2017 | CIDR | 5.8926409e-05 |
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