| 77 |
Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases
|
2017 |
SIGMOD |
0.00037292268 |
| 246 |
Amazon Redshift and the Case for Simpler Data Warehouses
|
2015 |
SIGMOD |
0.00023679218 |
| 371 |
Life beyond Distributed Transactions: an Apostate's Opinion
|
2007 |
CIDR |
0.00020027774 |
| 659 |
ERMIA: Fast Memory-Optimized Database System for Heterogeneous Workloads
|
2016 |
SIGMOD |
0.00015378873 |
| 817 |
Amazon Redshift Re-invented
|
2022 |
SIGMOD |
0.00013873517 |
| 1,337 |
Automating Large-Scale Data Quality Verification
|
2018 |
VLDB |
0.00011211311 |
| 1,408 |
TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs
|
2022 |
VLDB |
0.00010971913 |
| 1,499 |
Amazon Aurora: On Avoiding Distributed Consensus for I/Os, Commits, and Membership Changes
|
2018 |
SIGMOD |
0.00010657868 |
| 1,628 |
PG-Schema: Schemas for Property Graphs
|
2023 |
SIGMOD |
0.00010242684 |
| 1,711 |
Amazon DynamoDB: A Seamlessly Scalable Non-relational Datastore
|
2012 |
SIGMOD |
0.00010039915 |
| 1,915 |
Elastic Machine Learning Algorithms in Amazon SageMaker
|
2020 |
SIGMOD |
9.5805987e-05 |
| 2,488 |
Active Learning for ML Enhanced Database Systems
|
2020 |
SIGMOD |
8.5859242e-05 |
| 2,571 |
Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet
|
2024 |
VLDB |
8.4677745e-05 |
| 2,760 |
Cooperative Expendable Micro-Slice Servers (CEMS): Low Cost, Low Power Servers for Internet-Scale Services
|
2009 |
CIDR |
8.222161e-05 |
| 2,810 |
Deep Learning for Blocking in Entity Matching: A Design Space Exploration
|
2021 |
VLDB |
8.1525881e-05 |
| 2,819 |
PG-Keys: Keys for Property Graphs
|
2021 |
SIGMOD |
8.1414547e-05 |
| 3,054 |
Query Fresh: Log Shipping on Steroids
|
2018 |
VLDB |
7.8738044e-05 |
| 3,189 |
Accordion: Elastic Scalability for Database Systems Supporting Distributed Transactions
|
2014 |
VLDB |
7.7249496e-05 |
| 3,540 |
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud
|
2023 |
VLDB |
7.3877963e-05 |
| 3,542 |
The evolution of Amazon Redshift (extended abstract)
|
2021 |
VLDB |
7.3868396e-05 |
| 3,568 |
The Myria Big Data Management and Analytics System and Cloud Service
|
2017 |
CIDR |
7.3640731e-05 |
| 3,575 |
Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees
|
2020 |
VLDB |
7.3546846e-05 |
| 3,634 |
Learning to Validate the Predictions of Black Box Classifiers on Unseen Data
|
2020 |
SIGMOD |
7.3120875e-05 |
| 3,755 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift
|
2023 |
SIGMOD |
7.2037797e-05 |
| 3,855 |
Panda: Performance Debugging for Databases using LLM Agents
|
2024 |
CIDR |
7.1232913e-05 |
| 3,892 |
A1: A Distributed In-Memory Graph Database
|
2020 |
SIGMOD |
7.1012642e-05 |
| 4,059 |
Data Integration and Machine Learning: A Natural Synergy
|
2018 |
SIGMOD |
6.99749e-05 |
| 4,357 |
Classical and Contemporary Approaches to Big Time Series Forecasting
|
2019 |
SIGMOD |
6.8144076e-05 |
| 4,424 |
Relative Error Streaming Quantiles
|
2021 |
PODS |
6.7704741e-05 |
| 5,082 |
Forecasting Big Time Series: Old and New
|
2018 |
VLDB |
6.4386802e-05 |
| 5,107 |
Probabilistic Demand Forecasting at Scale
|
2017 |
VLDB |
6.4265468e-05 |
| 5,173 |
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training
|
2024 |
VLDB |
6.3994743e-05 |
| 5,207 |
Stage: Query Execution Time Prediction in Amazon Redshift
|
2024 |
SIGMOD |
6.3868366e-05 |
| 5,312 |
Intelligent Scaling in Amazon Redshift
|
2024 |
SIGMOD |
6.3404587e-05 |
| 5,414 |
Resource Management in Aurora Serverless
|
2024 |
VLDB |
6.2965738e-05 |
| 5,524 |
Flexible Resource Allocation for Relational Database-as-a-Service
|
2023 |
VLDB |
6.2500432e-05 |
| 5,712 |
Query Processing over Incomplete Autonomous Databases
|
2007 |
VLDB |
6.1794839e-05 |
| 5,857 |
HydraList: A Scalable In-Memory Index Using Asynchronous Updates and Partial Replication
|
2020 |
VLDB |
6.1257058e-05 |
| 6,188 |
Fast and Effective Distribution-Key Recommendation for Amazon Redshift
|
2020 |
VLDB |
6.0200834e-05 |
| 6,218 |
DPI: The Data Processing Interface for Modern Networks
|
2019 |
CIDR |
6.0118473e-05 |
| 6,230 |
Spatial Independent Range Sampling
|
2021 |
SIGMOD |
6.0077328e-05 |
| 6,236 |
CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web
|
2018 |
VLDB |
6.0066422e-05 |
| 6,408 |
Extract-Transform-Load for Video Streams
|
2023 |
VLDB |
5.9507558e-05 |
| 6,431 |
Knowledge Verification for Long-Tail Verticals
|
2017 |
VLDB |
5.9424978e-05 |
| 6,475 |
Efficient Knowledge Graph Accuracy Evaluation
|
2019 |
VLDB |
5.926842e-05 |
| 6,507 |
Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses
|
2024 |
SIGMOD |
5.9138513e-05 |
| 6,654 |
Efficiently Answering Durability Prediction Queries
|
2021 |
SIGMOD |
5.8715025e-05 |
| 6,702 |
Unit Testing Data with Deequ
|
2019 |
SIGMOD |
5.856534e-05 |
| 6,878 |
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
|
2025 |
SIGMOD |
5.8166123e-05 |
| 7,059 |
Collective Influence Maximization for Multiple Competing Products with an Awareness-to-Influence Model
|
2021 |
VLDB |
5.7673963e-05 |