Interoperable ACID Transactions for Open Table Formats

Summary: Object-store-native mechanisms provide multi-table atomicity, consistency, and isolation for interoperable open table formats without external coordinators. LakeVilla delivers full ACID, scalable concurrency, and compatibility with existing OTF deployments and Trino. (summarized by gpt-5.6-luna on Aug 28 2026)

Paper ID: h59cc99d9cf40344b
Venue: VLDB
Year: 2026
Pagerank: 4.9605343e-05
Overall Rank: 10,927 | 26.76%
DOI: 10.14778/3836663.3836684
PDF: Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

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

Authors

1. Tobias Götz (Technical University of Munich)
2. Daniel Ritter (SAP)
3. Muhammad El-Hindi (Technical University of Munich)
4. Jana Giceva (Technical University of Munich)

BibTeX Citation

@article{gotz_vldb26,
        title = {{Interoperable ACID Transactions for Open Table Formats}},
        author = {Götz, Tobias and Ritter, Daniel and El-Hindi, Muhammad and Giceva, Jana},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {11},
        pages = {3216--3230},
        doi = {10.14778/3836663.3836684},
        url = {https://doi.org/10.14778/3836663.3836684},
        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 31 of 31 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
19	A Critique of ANSI SQL Isolation Levels	1995	SIGMOD	0.00058631912
66	Sagas	1987	SIGMOD	0.00037911331
228	Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems	2015	SIGMOD	0.00023872855
375	Umbra: A Disk-Based System with In-Memory Performance	2020	CIDR	0.00019660459
462	Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores	2020	VLDB	0.00017825062
913	Starling: A Scalable Query Engine on Cloud Functions	2020	SIGMOD	0.00013084137
955	Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics	2021	CIDR	0.00012856295
1,429	The Log-Structured Merge-Bush & the Wacky Continuum	2019	SIGMOD	0.00010685393
1,488	Photon: A Fast Query Engine for Lakehouse Systems	2022	SIGMOD	0.00010487094
1,716	Lambada: Interactive Data Analytics on Cold Data Using Serverless Cloud Infrastructure	2020	SIGMOD	9.7923765e-05
2,239	BtrBlocks: Efficient Columnar Compression for Data Lakes	2023	SIGMOD	8.7753778e-05
2,850	Optimizing Optimistic Concurrency Control for Tree-Structured, Log-Structured Databases	2015	SIGMOD	7.9214453e-05
3,063	The FastLanes Compression Layout: Decoding >100 Billion Integers per Second with Scalar Code	2023	VLDB	7.6806166e-05
3,152	White-box Compression: Learning and Exploiting Compact Table Representations	2020	CIDR	7.5717115e-05
3,303	Cloud Analytics Benchmark	2023	VLDB	7.4212268e-05
4,058	Exploiting Cloud Object Storage for High-Performance Analytics	2023	VLDB	6.8134824e-05
4,346	Analyzing and Comparing Lakehouse Storage Systems	2023	CIDR	6.6386388e-05
4,546	BigLake: BigQuery’s Evolution toward a Multi-Cloud Lakehouse	2024	SIGMOD	6.5341042e-05
5,935	Self-Organizing Data Containers	2022	CIDR	5.9251217e-05
6,250	Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses	2024	SIGMOD	5.818039e-05
6,506	Caerus: Low-Latency Distributed Transactions for Geo-Replicated Systems	2024	VLDB	5.7453191e-05
6,590	Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All?	2025	CIDR	5.7233093e-05
6,592	Deep Lake: a Lakehouse for Deep Learning	2023	CIDR	5.722881e-05
7,535	Epoxy: ACID Transactions Across Diverse Data Stores	2023	VLDB	5.4846682e-05
8,232	LST-Bench: Benchmarking Log-Structured Tables in the Cloud	2024	SIGMOD	5.357241e-05
9,050	AutoComp: Automated Data Compaction for Log-Structured Tables in Data Lakes	2025	SIGMOD	5.2152045e-05
9,350	On-Demand State Separation for Cloud Data Warehousing	2022	VLDB	5.1762083e-05
10,262	Active Data Lakes: Regaining Physical Data Independence Without Losing Interoperability	2026	VLDB	5.0380426e-05
10,263	TreeCat: Standalone Catalog Engine for Large Data Systems	2025	VLDB	5.0380426e-05
10,264	From FASTER to F2: Evolving Concurrent Key-Value Store Designs for Large Skewed Workloads	2025	VLDB	5.0380426e-05
10,265	Analytics Are Heavy. The DBMS Is Busy. When Will My Mission-Critical Transaction Start Running?	2025	VLDB	5.0380426e-05

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