DBScholar

Back to papers

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
4.9793485e-05
Overall Rank
10,857 | 27.01%
DOI
10.14778/3836663.3836684

Incoming Non-self Citations Over Time

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

Authors

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
Previous Page 1 / 1 Next

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 0.00058781151
66 Sagas 1987 SIGMOD 0.00038047495
228 Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems 2015 SIGMOD 0.00023920439
373 Umbra: A Disk-Based System with In-Memory Performance 2020 CIDR 0.00019711632
459 Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores 2020 VLDB 0.00017856221
932 Starling: A Scalable Query Engine on Cloud Functions 2020 SIGMOD 0.00013008551
950 Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics 2021 CIDR 0.00012895553
1,422 The Log-Structured Merge-Bush & the Wacky Continuum 2019 SIGMOD 0.00010725538
1,487 Photon: A Fast Query Engine for Lakehouse Systems 2022 SIGMOD 0.00010521722
1,763 Lambada: Interactive Data Analytics on Cold Data Using Serverless Cloud Infrastructure 2020 SIGMOD 9.7003359e-05
2,314 BtrBlocks: Efficient Columnar Compression for Data Lakes 2023 SIGMOD 8.6533171e-05
2,841 Optimizing Optimistic Concurrency Control for Tree-Structured, Log-Structured Databases 2015 SIGMOD 7.9503824e-05
3,146 White-box Compression: Learning and Exploiting Compact Table Representations 2020 CIDR 7.5963816e-05
3,181 The FastLanes Compression Layout: Decoding >100 Billion Integers per Second with Scalar Code 2023 VLDB 7.5625307e-05
3,316 Cloud Analytics Benchmark 2023 VLDB 7.4373161e-05
4,034 Exploiting Cloud Object Storage for High-Performance Analytics 2023 VLDB 6.8393244e-05
4,332 Analyzing and Comparing Lakehouse Storage Systems 2023 CIDR 6.6587744e-05
4,530 BigLake: BigQuery’s Evolution toward a Multi-Cloud Lakehouse 2024 SIGMOD 6.5588866e-05
5,929 Self-Organizing Data Containers 2022 CIDR 5.9439349e-05
6,240 Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses 2024 SIGMOD 5.8382355e-05
6,493 Caerus: Low-Latency Distributed Transactions for Geo-Replicated Systems 2024 VLDB 5.7663621e-05
6,576 Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All? 2025 CIDR 5.7448779e-05
6,580 Deep Lake: a Lakehouse for Deep Learning 2023 CIDR 5.7445866e-05
7,511 Epoxy: ACID Transactions Across Diverse Data Stores 2023 VLDB 5.5054703e-05
8,208 LST-Bench: Benchmarking Log-Structured Tables in the Cloud 2024 SIGMOD 5.3775598e-05
9,021 AutoComp: Automated Data Compaction for Log-Structured Tables in Data Lakes 2025 SIGMOD 5.2349846e-05
9,316 On-Demand State Separation for Cloud Data Warehousing 2022 VLDB 5.1958405e-05
10,226 Active Data Lakes: Regaining Physical Data Independence Without Losing Interoperability 2026 VLDB 5.0571508e-05
10,227 TreeCat: Standalone Catalog Engine for Large Data Systems 2025 VLDB 5.0571508e-05
10,228 From FASTER to F2: Evolving Concurrent Key-Value Store Designs for Large Skewed Workloads 2025 VLDB 5.0571508e-05
10,229 Analytics Are Heavy. The DBMS Is Busy. When Will My Mission-Critical Transaction Start Running? 2025 VLDB 5.0571508e-05
Previous Page 1 / 1 Next

Semantically Similar Papers