| 63 |
Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases
|
2017 |
SIGMOD |
0.00038531147 |
| 233 |
Amazon Redshift and the Case for Simpler Data Warehouses
|
2015 |
SIGMOD |
0.00023783585 |
| 381 |
Life beyond Distributed Transactions: an Apostate's Opinion
|
2007 |
CIDR |
0.00019491561 |
| 636 |
ERMIA: Fast Memory-Optimized Database System for Heterogeneous Workloads
|
2016 |
SIGMOD |
0.00015360975 |
| 680 |
Amazon Redshift Re-invented
|
2022 |
SIGMOD |
0.00014828697 |
| 1,308 |
Automating Large-Scale Data Quality Verification
|
2018 |
VLDB |
0.0001107886 |
| 1,364 |
TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs
|
2022 |
VLDB |
0.00010914152 |
| 1,425 |
Amazon Aurora: On Avoiding Distributed Consensus for I/Os, Commits, and Membership Changes
|
2018 |
SIGMOD |
0.00010714536 |
| 1,482 |
PG-Schema: Schemas for Property Graphs
|
2023 |
SIGMOD |
0.00010538703 |
| 1,676 |
Amazon DynamoDB: A Seamlessly Scalable Non-relational Datastore
|
2012 |
SIGMOD |
9.914364e-05 |
| 1,839 |
Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet
|
2024 |
VLDB |
9.5304799e-05 |
| 1,927 |
Elastic Machine Learning Algorithms in Amazon SageMaker
|
2020 |
SIGMOD |
9.3607648e-05 |
| 2,275 |
Active Learning for ML Enhanced Database Systems
|
2020 |
SIGMOD |
8.7090584e-05 |
| 2,514 |
Deep Learning for Blocking in Entity Matching: A Design Space Exploration
|
2021 |
VLDB |
8.3648432e-05 |
| 2,831 |
PG-Keys: Keys for Property Graphs
|
2021 |
SIGMOD |
7.9602632e-05 |
| 2,865 |
Cooperative Expendable Micro-Slice Servers (CEMS): Low Cost, Low Power Servers for Internet-Scale Services
|
2009 |
CIDR |
7.9259717e-05 |
| 3,006 |
Query Fresh: Log Shipping on Steroids
|
2018 |
VLDB |
7.7609084e-05 |
| 3,058 |
Accordion: Elastic Scalability for Database Systems Supporting Distributed Transactions
|
2014 |
VLDB |
7.6964255e-05 |
| 3,169 |
Panda: Performance Debugging for Databases using LLM Agents
|
2024 |
CIDR |
7.5696238e-05 |
| 3,450 |
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud
|
2023 |
VLDB |
7.2921762e-05 |
| 3,563 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift
|
2023 |
SIGMOD |
7.2042148e-05 |
| 3,613 |
Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees
|
2020 |
VLDB |
7.162283e-05 |
| 3,647 |
The evolution of Amazon Redshift (extended abstract)
|
2021 |
VLDB |
7.1375005e-05 |
| 3,685 |
The Myria Big Data Management and Analytics System and Cloud Service
|
2017 |
CIDR |
7.0988339e-05 |
| 3,735 |
Learning to Validate the Predictions of Black Box Classifiers on Unseen Data
|
2020 |
SIGMOD |
7.0642839e-05 |
| 3,971 |
A1: A Distributed In-Memory Graph Database
|
2020 |
SIGMOD |
6.8885062e-05 |
| 4,171 |
Data Integration and Machine Learning: A Natural Synergy
|
2018 |
SIGMOD |
6.7608137e-05 |
| 4,174 |
Resource Management in Aurora Serverless
|
2024 |
VLDB |
6.7584856e-05 |
| 4,520 |
Classical and Contemporary Approaches to Big Time Series Forecasting
|
2019 |
SIGMOD |
6.5628257e-05 |
| 4,564 |
Relative Error Streaming Quantiles
|
2021 |
PODS |
6.5317429e-05 |
| 4,666 |
Intelligent Scaling in Amazon Redshift
|
2024 |
SIGMOD |
6.479878e-05 |
| 5,214 |
Stage: Query Execution Time Prediction in Amazon Redshift
|
2024 |
SIGMOD |
6.2248104e-05 |
| 5,266 |
Forecasting Big Time Series: Old and New
|
2018 |
VLDB |
6.2023166e-05 |
| 5,304 |
Probabilistic Demand Forecasting at Scale
|
2017 |
VLDB |
6.1873575e-05 |
| 5,339 |
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training
|
2024 |
VLDB |
6.1731674e-05 |
| 5,379 |
Efficient Knowledge Graph Accuracy Evaluation
|
2019 |
VLDB |
6.1558829e-05 |
| 5,389 |
Flexible Resource Allocation for Relational Database-as-a-Service
|
2023 |
VLDB |
6.1511236e-05 |
| 5,819 |
Spatial Independent Range Sampling
|
2021 |
SIGMOD |
5.9832748e-05 |
| 6,209 |
Automated Multidimensional Data Layouts in Amazon Redshift
|
2024 |
SIGMOD |
5.8495489e-05 |
| 6,240 |
Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses
|
2024 |
SIGMOD |
5.8382355e-05 |
| 6,277 |
Fast and Effective Distribution-Key Recommendation for Amazon Redshift
|
2020 |
VLDB |
5.8266146e-05 |
| 6,398 |
CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web
|
2018 |
VLDB |
5.7984902e-05 |
| 6,528 |
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
|
2025 |
SIGMOD |
5.7553643e-05 |
| 6,534 |
DPI: The Data Processing Interface for Modern Networks
|
2019 |
CIDR |
5.7541988e-05 |
| 6,583 |
Extract-Transform-Load for Video Streams
|
2023 |
VLDB |
5.7438181e-05 |
| 6,650 |
Knowledge Verification for Long-Tail Verticals
|
2017 |
VLDB |
5.7206473e-05 |
| 6,738 |
Efficiently Answering Durability Prediction Queries
|
2021 |
SIGMOD |
5.6918011e-05 |
| 6,898 |
Unit Testing Data with Deequ
|
2019 |
SIGMOD |
5.6530554e-05 |
| 7,197 |
Cross Modal Data Discovery over Structured and Unstructured Data Lakes
|
2023 |
VLDB |
5.5890662e-05 |
| 7,300 |
Unified Spatial Analytics from Heterogeneous Sources with Amazon Redshift
|
2020 |
SIGMOD |
5.5603068e-05 |