A Multi-tenant Relational OLTP Database at Salesforce
Summary: SalesforceDB: an LSM-based multi-tenant relational OLTP system tackling read-heavy mixed workloads (single-record probes + short range scans) where standard LSM read optimizations are insufficient. Adds a location cache, range filters, and early tombstone pruning; all three deployed and validated on production workloads. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Vaibhav Arora (Salesforce)
- 2. Subho Chatterjee (Salesforce)
- 3. Terry Chong (Salesforce)
- 4. Thomas Fanghaenel (Salesforce)
- 5. Pat Helland (Salesforce)
- 6. Jamie Martin (Salesforce)
- 7. Kaushal Mittal (Salesforce)
- 8. Nat Wyatt (Salesforce)
BibTeX Citation
@inproceedings{arora_cidr26,
address = {Amsterdam, Netherlands},
series = {{CIDR} '26},
title = {{A Multi-tenant Relational OLTP Database at Salesforce}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Arora, Vaibhav and Chatterjee, Subho and Chong, Terry and Fanghaenel, Thomas and Helland, Pat and Martin, Jamie and Mittal, Kaushal and Wyatt, Nat},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,947 | Salesforce Database: A Cloud-Native Multi-Tenant OLTP Database | 2026 | VLDB | 4.9793485e-05 |
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