Lakebase: Serverless Postgres over Open Lake Storage

Summary: Lakebase decouples serverless PostgreSQL transactional compute from durable, open-format object storage, unlike proprietary cloud databases. Copy-on-write branching, scale-to-zero elasticity, and shared transactional/analytical lake access enable Git-like workflows and reduce lock-in. (summarized by gpt-5.6-luna on Aug 28 2026)

Paper ID: h7da76838fcfa1692
Venue: VLDB
Year: 2026
Pagerank: 4.9793485e-05
Overall Rank: 10,943 | 26.43%
DOI: 10.14778/3827998.3828040

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Jasraj Dange (Databricks)
2. Andrei Dragus (Databricks)
3. Ali Ghodsi (Databricks)
4. Haoyu Huang (Databricks)
5. Yihe Huang (Databricks)
6. Stas Kelvich (Databricks)
7. Heikki Linnakangas (Databricks)
8. Hans Norheim (Databricks)
9. Ippokratis Pandis (Databricks)
10. Nikita Shamgunov (Databricks)
11. Em Sharnoff (Databricks)
12. John Spray (Databricks)
13. Zhou Sun (Databricks)
14. Reynold Xin (Databricks)
15. Matei Zaharia (Databricks)

BibTeX Citation

@article{dange_vldb26,
        title = {{Lakebase: Serverless Postgres over Open Lake Storage}},
        author = {Dange, Jasraj and Dragus, Andrei and Ghodsi, Ali and Huang, Haoyu and Huang, Yihe and Kelvich, Stas and Linnakangas, Heikki and Norheim, Hans and Pandis, Ippokratis and Shamgunov, Nikita and Sharnoff, Em and Spray, John and Sun, Zhou and Xin, Reynold and Zaharia, Matei},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {12},
        pages = {4385--4398},
        doi = {10.14778/3827998.3828040},
        url = {https://doi.org/10.14778/3827998.3828040},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
63	Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases	2017	SIGMOD	0.00038531147
258	bLSM: A General Purpose Log Structured Merge Tree	2012	SIGMOD	0.00022939599
436	Optimizing Space Amplification in RocksDB	2017	CIDR	0.00018319035
543	Socrates: The New SQL Server in the Cloud	2019	SIGMOD	0.0001663263
754	Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging	2018	SIGMOD	0.00014236015
835	Automatic Virtual Machine Configuration for Database Workloads	2008	SIGMOD	0.00013573201
950	Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics	2021	CIDR	0.00012895553
1,067	Automated Demand-driven Resource Scaling in Relational Database-as-a-Service	2016	SIGMOD	0.0001219157
1,583	On the Design and Scalability of Distributed Shared-Data Databases	2015	SIGMOD	0.00010169494
1,994	Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless	2022	VLDB	9.2176321e-05
2,671	Taurus Database: How to be Fast, Available, and Frugal in the Cloud	2020	SIGMOD	8.15025e-05
3,641	Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store	2021	SIGMOD	7.1439198e-05
3,947	Eigen: End-to-end Resource Optimization for Large-Scale Databases on the Cloud	2023	VLDB	6.9057719e-05
4,174	Resource Management in Aurora Serverless	2024	VLDB	6.7584856e-05
5,018	Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems	2021	VLDB	6.3121723e-05
5,058	Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing	2022	VLDB	6.2926774e-05
5,389	Flexible Resource Allocation for Relational Database-as-a-Service	2023	VLDB	6.1511236e-05
7,345	PolarDB-SCC: A Cloud-Native Database Ensuring Low Latency for Strongly Consistent Reads	2023	VLDB	5.5461882e-05
9,908	ABase: the Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments	2025	SIGMOD	5.1103839e-05

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