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Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores

Summary: Delta Lake provides ACID on cloud object stores via a compacted Parquet log, enabling time travel and fast metadata. Upserts, data-layout, caching, audit logs, and cross-engine access (Spark/Hive/Presto/Redshift) enable ecosystem-wide analytics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hc643c441c2bcd6eb
Venue
VLDB
Year
2020
Pagerank
0.00017856221
Overall Rank
459 | 96.92%
DOI
10.14778/3415478.3415560

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{armbrust_vldb20,
        title = {{Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores}},
        author = {Armbrust, Michael and Das, Tathagata and Sun, Liwen and Yavuz, Burak and Zhu, Shixiong and Murthy, Mukul and Torres, Joseph and van Hovell, Herman and Ionescu, Adrian and Łuszczak, Alicja and Świtakowski, Michał and Szafrański, Michał and Li, Xiao and Ueshin, Takuya and Mokhtar, Mostafa and Boncz, Peter and Ghodsi, Ali and Paranjpye, Sameer and Senster, Pieter and Xin, Reynold and Zaharia, Matei},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {12},
        pages = {3411--3424},
        doi = {10.14778/3415478.3415560},
        url = {https://doi.org/10.14778/3415478.3415560},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 76 citing papers.

Rank Citing Paper Year Venue Pagerank
680 Amazon Redshift Re-invented 2022 SIGMOD 0.00014828697
950 Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics 2021 CIDR 0.00012895553
1,392 Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes 2023 CIDR 0.00010807936
1,487 Photon: A Fast Query Engine for Lakehouse Systems 2022 SIGMOD 0.00010521722
2,662 End-to-end Optimization of Machine Learning Prediction Queries 2022 SIGMOD 8.1596229e-05
3,647 The evolution of Amazon Redshift (extended abstract) 2021 VLDB 7.1375005e-05
3,808 An Empirical Evaluation of Columnar Storage Formats 2024 VLDB 7.0097354e-05
3,835 Presto: A Decade of SQL Analytics at Meta 2023 SIGMOD 6.9931698e-05
3,928 Big Metadata: When Metadata is Big Data 2021 VLDB 6.9192051e-05
4,034 Exploiting Cloud Object Storage for High-Performance Analytics 2023 VLDB 6.8393244e-05
4,074 Apache Arrow DataFusion: A Fast, Embeddable, Modular Analytic Query Engine 2024 SIGMOD 6.8198673e-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
4,828 Cloud-Native Transactions and Analytics in SingleStore 2022 SIGMOD 6.391616e-05
5,005 Using Cloud Functions as Accelerator for Elastic Data Analytics 2023 SIGMOD 6.3177105e-05
5,348 Adaptive and Robust Query Execution for Lakehouses at Scale 2024 VLDB 6.1690434e-05
5,446 Crystal: A Unified Cache Storage System for Analytical Databases 2021 VLDB 6.1266228e-05
5,805 Cornus: Atomic Commit for a Cloud DBMS with Storage Disaggregation 2023 VLDB 5.9886376e-05
6,240 Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses 2024 SIGMOD 5.8382355e-05
6,245 The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward 2021 VLDB 5.837329e-05
6,275 Shared Foundations: Modernizing Meta's Data Lakehouse 2023 CIDR 5.8270783e-05
6,392 Selection Pushdown in Column Stores using Bit Manipulation Instructions 2023 SIGMOD 5.800848e-05
6,415 Containerized Execution of UDFs: An Experimental Evaluation 2022 VLDB 5.7926473e-05
6,580 Deep Lake: a Lakehouse for Deep Learning 2023 CIDR 5.7445866e-05
6,753 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.6904085e-05
6,920 Petabyte-Scale Row-Level Operations in Data Lakehouses 2024 VLDB 5.6441822e-05
7,221 Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP 2024 VLDB 5.5828002e-05
7,350 Bullion: A Column Store for Machine Learning 2025 CIDR 5.5451228e-05
7,358 Optimizing Collections of Bloom Filters within a Space Budget 2024 VLDB 5.5431911e-05
7,544 The Hopsworks Feature Store for Machine Learning 2024 SIGMOD 5.4983875e-05
7,582 Unity Catalog: Open and Universal Governance for the Lakehouse and Beyond 2025 SIGMOD 5.4910839e-05
7,996 Databricks Lakeguard: Supporting Fine-grained Access Control and Multi-user Capabilities for Apache Spark Workloads 2025 SIGMOD 5.4108483e-05
8,208 LST-Bench: Benchmarking Log-Structured Tables in the Cloud 2024 SIGMOD 5.3775598e-05
8,552 F3: The Open-Source Data File Format for the Future 2026 SIGMOD 5.316708e-05
8,637 Magnus: A Holistic Approach to Data Management for Large-Scale Machine Learning Workloads 2025 VLDB 5.2978926e-05
8,784 Extending Polaris to Support Transactions 2024 SIGMOD 5.2771996e-05
8,840 Columnar Formats for Schemaless LSM-based Document Stores 2022 VLDB 5.2665183e-05
9,021 AutoComp: Automated Data Compaction for Log-Structured Tables in Data Lakes 2025 SIGMOD 5.2349846e-05
9,038 Bringing Cloud-Native Storage to SAP IQ 2021 SIGMOD 5.2331918e-05
9,088 Hyperspace: The Indexing Subsystem of Azure Synapse 2021 VLDB 5.2283159e-05
9,115 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 5.2271833e-05
9,132 The Five-Minute Rule for the Cloud: Caching in Analytics Systems 2025 CIDR 5.2231291e-05
9,196 Disaggregation: A New Architecture for Cloud Databases 2025 VLDB 5.2098738e-05
9,282 Making Data Engineering Declarative 2023 CIDR 5.2034134e-05
9,536 SAP HANA Cloud: Data Management for Modern Enterprise Applications 2025 SIGMOD 5.1631101e-05
9,684 The HANA Native Query Engine for Lakehouse Systems 2025 VLDB 5.1423628e-05
9,791 TiQuE: Improving the Transactional Performance of Analytical Systems for True Hybrid Workloads 2023 VLDB 5.1259267e-05
9,943 The Story of AWS Glue 2023 VLDB 5.1043697e-05
9,953 Hermes: Off-the-Shelf Real-Time Transactional Analytics 2025 VLDB 5.1038322e-05
10,000 cedar: Optimized and Unified Machine Learning Input Data Pipelines 2025 VLDB 5.0979044e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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