GLADE: Big Data Analytics Made Easy
Summary: GLADE is a scalable distributed analytics system using a single UDA-based class with four methods for near-data execution and cluster-wide parallelism. Compared with PostgreSQL UDAs and MapReduce (Java/Pig Latin), it emphasizes expressiveness, scalability, and runtime efficiency. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yu Cheng
- 2. Chengjie Qin
- 3. Florin Rusu
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,532 | Data Management in Machine Learning: Challenges, Techniques, and Systems | 2017 | SIGMOD | 0.00011472681 |
| 2,122 | SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle | 2020 | CIDR | 9.4989076e-05 |
| 2,757 | Parallel Data Analysis Directly on Scientific File Formats | 2014 | SIGMOD | 8.1679384e-05 |
| 4,033 | In-RDBMS Hardware Acceleration of Advanced Analytics | 2018 | VLDB | 6.5113267e-05 |
| 4,395 | Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models | 2017 | VLDB | 6.2244283e-05 |
| 4,548 | Efficient and Portable Einstein Summation in SQL | 2023 | SIGMOD | 6.0953447e-05 |
| 4,557 | Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches | 2021 | VLDB | 6.087611e-05 |
| 8,968 | Ontological Pathfinding: Mining First-Order Knowledge from Large Knowledge Bases | 2016 | SIGMOD | 4.4190464e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0024183614 |
| 42 | A Comparison of Approaches to Large-Scale Data Analysis | 2009 | SIGMOD | 0.00073498298 |
| 168 | MAD Skills: New Analysis Practices for Big Data | 2009 | VLDB | 0.00038946305 |
| 1,299 | The DataPath System: A Data-Centric Analytic Processing Engine for Large Data Warehouses | 2010 | SIGMOD | 0.00012751522 |
| 1,721 | Distributed Data-Parallel Computing Using a High-Level Programming Language | 2009 | SIGMOD | 0.00010762918 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 780 | Building a High-Level Dataflow System on top of Map-Reduce: The Pig Experience | 2009 | VLDB | 0.00016775082 |
| 157 | HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads | 2009 | VLDB | 0.00040397359 |
| 1,294 | Distributed SociaLite: A Datalog-Based Language for Large-Scale Graph Analysis | 2013 | VLDB | 0.00012779484 |
| 3 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0024183614 |
| 7,511 | Hone: "Scaling Down" Hadoop on Shared-Memory Systems | 2013 | VLDB | 4.7180617e-05 |
| 7,687 | Experimental Analysis of Distributed Graph Systems | 2018 | VLDB | 4.677974e-05 |
| 9,504 | Supporting Scalable Analytics with Latency Constraints | 2015 | VLDB | 4.3341665e-05 |
| 2,476 | A Platform for Scalable One-Pass Analytics using MapReduce | 2011 | SIGMOD | 8.6960139e-05 |
| 11,972 | Palette: Enabling Scalable Analytics for Big-Memory, Multicore Machines | 2014 | SIGMOD | 4.1945683e-05 |
| 11,736 | Declarative and distributed graph analytics with GRADOOP | 2018 | VLDB | 4.1945683e-05 |