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Active Data Lakes: Regaining Physical Data Independence Without Losing Interoperability

Summary: Proposes Active Data Lakes to restore physical data independence in data lakes without sacrificing cross-engine interoperability. Key idea: decouple engines from Parquet-centric storage via an architecture that supports novel file formats, access paths, and media, validated by three prototype optimizations. (summarized by gpt-5.4-mini on Apr 12 2026)

Paper ID
14472
Venue
VLDB
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,536 | 27.72%
DOI
10.14778/3797919.3797941

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Authors

BibTeX Citation

@article{ginter_vldb26,
        title = {{Active Data Lakes: Regaining Physical Data Independence Without Losing Interoperability}},
        author = {Ginter, Pascal and Leis, Viktor},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {6},
        pages = {1372--1385},
        doi = {10.14778/3797919.3797941},
        url = {https://doi.org/10.14778/3797919.3797941},
        year = {2026}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 22 of 22 cited papers.

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

Rank Cited Paper Year Venue Pagerank
49 Weaving Relations for Cache Performance 2001 VLDB 0.00043781096
66 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00038561587
445 Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources 2018 SIGMOD 0.00018336751
520 Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores 2020 VLDB 0.00017136828
1,138 Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics 2021 CIDR 0.00012023643
1,621 Orca: A Modular Query Optimizer Architecture for Big Data 2014 SIGMOD 0.00010203114
1,757 Velox: Meta's Unified Execution Engine 2022 VLDB 9.8166984e-05
2,408 Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet 2024 VLDB 8.6154404e-05
2,788 BtrBlocks: Efficient Columnar Compression for Data Lakes 2023 SIGMOD 8.1205155e-05
3,582 The Composable Data Management System Manifesto 2023 VLDB 7.2869486e-05
3,592 The FastLanes Compression Layout: Decoding >100 Billion Integers per Second with Scalar Code 2023 VLDB 7.2774889e-05
4,103 Exploiting Cloud Object Storage for High-Performance Analytics 2023 VLDB 6.8993506e-05
4,649 BigLake: BigQuery’s Evolution toward a Multi-Cloud Lakehouse 2024 SIGMOD 6.586622e-05
5,469 Apache Arrow DataFusion: A Fast, Embeddable, Modular Analytic Query Engine 2024 SIGMOD 6.2073056e-05
6,253 Declarative Sub-Operators for Universal Data Processing 2023 VLDB 5.940599e-05
6,263 Database Technology for the Masses: Sub-Operators as First-Class Entities 2021 VLDB 5.936052e-05
8,605 Unity Catalog: Open and Universal Governance for the Lakehouse and Beyond 2025 SIGMOD 5.4028924e-05
9,038 The FastLanes File Format 2025 VLDB 5.3270943e-05
9,127 Databricks Lakeguard: Supporting Fine-grained Access Control and Multi-user Capabilities for Apache Spark Workloads 2025 SIGMOD 5.3189314e-05
9,277 F3: The Open-Source Data File Format for the Future 2026 SIGMOD 5.2937431e-05
10,057 AnyBlox: A Framework for Self-Decoding Datasets 2025 VLDB 5.1664022e-05
10,123 Cloudspecs: Cloud Hardware Evolution Through the Looking Glass 2026 CIDR 5.093636e-05
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