| 63 |
Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases
|
2017 |
SIGMOD |
0.00038609177 |
| 226 |
Amazon Redshift and the Case for Simpler Data Warehouses
|
2015 |
SIGMOD |
0.0002389883 |
| 384 |
Life beyond Distributed Transactions: an Apostate's Opinion
|
2007 |
CIDR |
0.00019432779 |
| 636 |
ERMIA: Fast Memory-Optimized Database System for Heterogeneous Workloads
|
2016 |
SIGMOD |
0.00015329098 |
| 651 |
Amazon Redshift Re-invented
|
2022 |
SIGMOD |
0.00015126716 |
| 1,278 |
Automating Large-Scale Data Quality Verification
|
2018 |
VLDB |
0.00011208469 |
| 1,372 |
TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs
|
2022 |
VLDB |
0.00010873001 |
| 1,392 |
Amazon Aurora: On Avoiding Distributed Consensus for I/Os, Commits, and Membership Changes
|
2018 |
SIGMOD |
0.00010787433 |
| 1,484 |
PG-Schema: Schemas for Property Graphs
|
2023 |
SIGMOD |
0.00010498883 |
| 1,683 |
Amazon DynamoDB: A Seamlessly Scalable Non-relational Datastore
|
2012 |
SIGMOD |
9.8808416e-05 |
| 1,791 |
Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet
|
2024 |
VLDB |
9.6212919e-05 |
| 1,938 |
Elastic Machine Learning Algorithms in Amazon SageMaker
|
2020 |
SIGMOD |
9.3316919e-05 |
| 2,290 |
Active Learning for ML Enhanced Database Systems
|
2020 |
SIGMOD |
8.6813363e-05 |
| 2,520 |
Deep Learning for Blocking in Entity Matching: A Design Space Exploration
|
2021 |
VLDB |
8.3343971e-05 |
| 2,843 |
PG-Keys: Keys for Property Graphs
|
2021 |
SIGMOD |
7.9301857e-05 |
| 2,875 |
Cooperative Expendable Micro-Slice Servers (CEMS): Low Cost, Low Power Servers for Internet-Scale Services
|
2009 |
CIDR |
7.8980331e-05 |
| 2,995 |
Panda: Performance Debugging for Databases using LLM Agents
|
2024 |
CIDR |
7.7556154e-05 |
| 3,011 |
Query Fresh: Log Shipping on Steroids
|
2018 |
VLDB |
7.7421635e-05 |
| 3,069 |
Accordion: Elastic Scalability for Database Systems Supporting Distributed Transactions
|
2014 |
VLDB |
7.6682775e-05 |
| 3,234 |
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud
|
2023 |
VLDB |
7.4879757e-05 |
| 3,328 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift
|
2023 |
SIGMOD |
7.4094448e-05 |
| 3,611 |
Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees
|
2020 |
VLDB |
7.1443694e-05 |
| 3,649 |
The evolution of Amazon Redshift (extended abstract)
|
2021 |
VLDB |
7.1172165e-05 |
| 3,693 |
The Myria Big Data Management and Analytics System and Cloud Service
|
2017 |
CIDR |
7.0738965e-05 |
| 3,741 |
Learning to Validate the Predictions of Black Box Classifiers on Unseen Data
|
2020 |
SIGMOD |
7.0396815e-05 |
| 3,976 |
A1: A Distributed In-Memory Graph Database
|
2020 |
SIGMOD |
6.872794e-05 |
| 3,998 |
Resource Management in Aurora Serverless
|
2024 |
VLDB |
6.8497732e-05 |
| 4,186 |
Data Integration and Machine Learning: A Natural Synergy
|
2018 |
SIGMOD |
6.7408641e-05 |
| 4,279 |
Relative Error Streaming Quantiles
|
2021 |
PODS |
6.6731371e-05 |
| 4,343 |
Intelligent Scaling in Amazon Redshift
|
2024 |
SIGMOD |
6.6397106e-05 |
| 4,542 |
Classical and Contemporary Approaches to Big Time Series Forecasting
|
2019 |
SIGMOD |
6.5380285e-05 |
| 4,833 |
Stage: Query Execution Time Prediction in Amazon Redshift
|
2024 |
SIGMOD |
6.3834856e-05 |
| 5,290 |
Forecasting Big Time Series: Old and New
|
2018 |
VLDB |
6.1788815e-05 |
| 5,327 |
Probabilistic Demand Forecasting at Scale
|
2017 |
VLDB |
6.1639984e-05 |
| 5,359 |
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training
|
2024 |
VLDB |
6.1498425e-05 |
| 5,406 |
Efficient Knowledge Graph Accuracy Evaluation
|
2019 |
VLDB |
6.1326233e-05 |
| 5,413 |
Flexible Resource Allocation for Relational Database-as-a-Service
|
2023 |
VLDB |
6.1283496e-05 |
| 5,835 |
Spatial Independent Range Sampling
|
2021 |
SIGMOD |
5.9606673e-05 |
| 6,041 |
Automated Multidimensional Data Layouts in Amazon Redshift
|
2024 |
SIGMOD |
5.8894534e-05 |
| 6,250 |
Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses
|
2024 |
SIGMOD |
5.818039e-05 |
| 6,291 |
Fast and Effective Distribution-Key Recommendation for Amazon Redshift
|
2020 |
VLDB |
5.8049232e-05 |
| 6,412 |
CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web
|
2018 |
VLDB |
5.7765809e-05 |
| 6,493 |
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
|
2025 |
SIGMOD |
5.7500576e-05 |
| 6,547 |
DPI: The Data Processing Interface for Modern Networks
|
2019 |
CIDR |
5.7326481e-05 |
| 6,561 |
Extract-Transform-Load for Video Streams
|
2023 |
VLDB |
5.7288224e-05 |
| 6,665 |
Knowledge Verification for Long-Tail Verticals
|
2017 |
VLDB |
5.6992391e-05 |
| 6,762 |
Efficiently Answering Durability Prediction Queries
|
2021 |
SIGMOD |
5.6704515e-05 |
| 6,911 |
Unit Testing Data with Deequ
|
2019 |
SIGMOD |
5.6335281e-05 |
| 7,217 |
Cross Modal Data Discovery over Structured and Unstructured Data Lakes
|
2023 |
VLDB |
5.5679482e-05 |
| 7,312 |
Unified Spatial Analytics from Heterogeneous Sources with Amazon Redshift
|
2020 |
SIGMOD |
5.5430871e-05 |