Garnet: A Next-Generation Cache-Store for Accelerating Applications and Services
Summary: Garnet: rethinks a Redis-compatible cache-store from a database-first perspective to support rich modern interfaces at scale, adding durability, transactions, and thread- and node-scalability. Uses storage, network, and cluster optimizations to be a drop-in replacement with up to 100× throughput and 4× lower tail latency, cutting end-to-end costs for real-world services. (summarized by gpt-5-mini on Mar 13 2026)
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Authors
- 1. Badrish Chandramouli
- 2. Vasileios Zois
- 3. Ted Hart
- 4. Tal Zaccai
- 5. Lukas M. Maas
- 6. Yoganand Rajasekaran
- 7. Darren Gehring
Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 50 | A Case for Redundant Arrays of Inexpensive Disks (RAID) | 1988 | SIGMOD | 0.00067394827 |
| 899 | Faster: A Concurrent Key-Value Store with In-Place Updates | 2018 | SIGMOD | 0.00015509287 |
| 1,888 | Dash: Scalable Hashing on Persistent Memory | 2020 | VLDB | 0.00010202743 |
| 5,308 | Key-Value Storage Engines | 2020 | SIGMOD | 5.576303e-05 |
| 7,479 | Amazon MemoryDB: A Fast and Durable Memory-First Cloud Database | 2024 | SIGMOD | 4.7180617e-05 |
| 7,987 | Concurrent Prefix Recovery: Performing CPR on a Database | 2019 | SIGMOD | 4.6132851e-05 |
| 11,498 | Achieving High Throughput and Elasticity in a Larger-than-Memory Store | 2021 | VLDB | 4.1945683e-05 |
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