| 1,488 |
Photon: A Fast Query Engine for Lakehouse Systems |
2022 |
SIGMOD |
0.00010487094 |
| 2,239 |
BtrBlocks: Efficient Columnar Compression for Data Lakes |
2023 |
SIGMOD |
8.7753778e-05 |
| 3,809 |
An Empirical Evaluation of Columnar Storage Formats |
2024 |
VLDB |
6.9890843e-05 |
| 4,117 |
Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches |
2021 |
VLDB |
6.784003e-05 |
| 4,346 |
Analyzing and Comparing Lakehouse Storage Systems |
2023 |
CIDR |
6.6386388e-05 |
| 4,373 |
A Deep Dive into Common Open Formats for Analytical DBMSs |
2023 |
VLDB |
6.6191786e-05 |
| 4,683 |
AutoSteer: Learned Query Optimization for Any SQL Database |
2023 |
VLDB |
6.4545989e-05 |
| 4,930 |
Data-Sharing Markets: Model, Protocol, and Algorithms to Incentivize the Formation of Data-Sharing Consortia |
2023 |
SIGMOD |
6.3383989e-05 |
| 5,367 |
Adaptive and Robust Query Execution for Lakehouses at Scale |
2024 |
VLDB |
6.1462017e-05 |
| 6,132 |
ConnectorX: Accelerating Data Loading From Databases to Dataframes |
2022 |
VLDB |
5.8593078e-05 |
| 6,260 |
The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward |
2021 |
VLDB |
5.815273e-05 |
| 6,290 |
Shared Foundations: Modernizing Meta's Data Lakehouse |
2023 |
CIDR |
5.8051881e-05 |
| 6,400 |
Selection Pushdown in Column Stores using Bit Manipulation Instructions |
2023 |
SIGMOD |
5.7811299e-05 |
| 6,592 |
Deep Lake: a Lakehouse for Deep Learning |
2023 |
CIDR |
5.722881e-05 |
| 6,942 |
Petabyte-Scale Row-Level Operations in Data Lakehouses |
2024 |
VLDB |
5.622856e-05 |
| 7,369 |
Bullion: A Column Store for Machine Learning |
2025 |
CIDR |
5.5261972e-05 |
| 7,456 |
Cracking Vector Search Indexes |
2025 |
VLDB |
5.5083275e-05 |
| 7,605 |
Unity Catalog: Open and Universal Governance for the Lakehouse and Beyond |
2025 |
SIGMOD |
5.4703362e-05 |
| 7,771 |
The FastLanes File Format |
2025 |
VLDB |
5.4390723e-05 |
| 8,018 |
Databricks Lakeguard: Supporting Fine-grained Access Control and Multi-user Capabilities for Apache Spark Workloads |
2025 |
SIGMOD |
5.3904037e-05 |
| 8,232 |
LST-Bench: Benchmarking Log-Structured Tables in the Cloud |
2024 |
SIGMOD |
5.357241e-05 |
| 8,439 |
Workload-Aware Incremental Reclustering in Cloud Data Warehouses |
2026 |
SIGMOD |
5.3148581e-05 |
| 8,665 |
Magnus: A Holistic Approach to Data Management for Large-Scale Machine Learning Workloads |
2025 |
VLDB |
5.2778748e-05 |
| 9,143 |
Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes |
2023 |
VLDB |
5.2074327e-05 |
| 9,228 |
Disaggregation: A New Architecture for Cloud Databases |
2025 |
VLDB |
5.1901886e-05 |
| 9,314 |
Making Data Engineering Declarative |
2023 |
CIDR |
5.1837526e-05 |
| 9,363 |
Meta's Next-generation Realtime Monitoring and Analytics Platform |
2022 |
VLDB |
5.1727202e-05 |
| 9,570 |
SAP HANA Cloud: Data Management for Modern Enterprise Applications |
2025 |
SIGMOD |
5.1436016e-05 |
| 9,571 |
GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example |
2023 |
SIGMOD |
5.1430298e-05 |
| 9,650 |
Hermes: Off-the-Shelf Real-Time Transactional Analytics |
2025 |
VLDB |
5.1322451e-05 |
| 9,719 |
The HANA Native Query Engine for Lakehouse Systems |
2025 |
VLDB |
5.1229327e-05 |
| 10,065 |
Towards Functional Decomposition of Storage Formats |
2025 |
CIDR |
5.0749178e-05 |
| 10,119 |
LiquidCache: Efficient Pushdown Caching for Cloud-Native Data Analytics |
2025 |
VLDB |
5.0638787e-05 |
| 10,139 |
Adaptive data transformations for QaaS |
2025 |
CIDR |
5.0597449e-05 |
| 10,166 |
End-to-End Declarative Data Analytics: Co-designing Engines, Interfaces, and Cloud Infrastructure |
2026 |
CIDR |
5.0559291e-05 |
| 10,194 |
Photon: A High-Performance Query Engine for the Lakehouse |
2022 |
CIDR |
5.0519277e-05 |
| 10,262 |
Active Data Lakes: Regaining Physical Data Independence Without Losing Interoperability |
2026 |
VLDB |
5.0380426e-05 |
| 10,287 |
AnyBlox: A Framework for Self-Decoding Datasets |
2025 |
VLDB |
5.0328754e-05 |
| 10,369 |
Zed: Leveraging Data Types to Process Eclectic Data |
2023 |
CIDR |
5.0064651e-05 |
| 10,744 |
PTO: A Workload-driven Predictive Table Optimizer for Lakehouse Systems |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,818 |
LakeHelm: Zero-Shot Lakehouse Advisor for Joint Engine-Format Selection and Configuration |
2026 |
VLDB |
4.9605343e-05 |
| 10,893 |
Decisionhouse: Prescriptive Analytics in the Data Stack |
2026 |
VLDB |
4.9605343e-05 |
| 10,927 |
Interoperable ACID Transactions for Open Table Formats |
2026 |
VLDB |
4.9605343e-05 |
| 10,971 |
Overlay Bitmap Encoding for Efficient Consumption of Apache Parquet Files |
2026 |
VLDB |
4.9605343e-05 |
| 10,985 |
Reaching the Pinnacle of TPC-DS: Co-design of Architecture, Executor, and Storage in TDSQL |
2026 |
VLDB |
4.9605343e-05 |
| 10,986 |
AutoLiquid: Autonomic Data Layout Optimization for the Databricks Lakehouse |
2026 |
VLDB |
4.9605343e-05 |
| 10,991 |
OceanBase Bacchus: A High-Performance and Scalable Cloud-Native Shared Storage Architecture for Multi-Cloud |
2026 |
VLDB |
4.9605343e-05 |
| 11,005 |
OmniTable: A Unified Wide-Table System for Petabyte-Scale LLM Data Curation and Exploration |
2026 |
VLDB |
4.9605343e-05 |
| 11,011 |
Ultron: History-Based Query Optimization at Databricks |
2026 |
VLDB |
4.9605343e-05 |
| 11,013 |
Lakebase: Serverless Postgres over Open Lake Storage |
2026 |
VLDB |
4.9605343e-05 |