VLDB 2021: Industry papers
The industry papers that have been accepted in the conference are listed below.
Accepted Industry Papers
GraphScope: A Unified Engine For Big Graph Processing (Alibaba Group), (Alibaba Group), (Alibaba Group), (Alibaba Group), (Alibaba Group), (Alibaba Grioup), (Alibaba Group), (Peking University & Alibaba Group), (Alibaba Group), (Alibaba Group), (Alibaba Group), (Alibaba Group), (Alibaba Group), (Alibaba Group), (Alibaba), (Alibaba Group)
Davos: A System for Interactive Data-Driven Decision Making (Einblick Analytics), (Einblick Analytics), (Einblick Analytics), (Einblick Analytics), (Einblick Analytics), (Einblick Analytics), (Einblick Analytics), (Einblick Analytics)
Mixer: Efficiently Understanding and Retrieving Visual Content at Web-Scale (Baidu Inc.), (Shandong University), (Baidu Inc.), (Baidu Inc.), (Ohio State U.)
Towards A Polyglot Framework for Factorized ML (UC San Diego), (UC San Diego), (Oracle Labs), (University of California, San Diego), (University of California, San Diego)
The End of Moore's Law and the Rise of The Data Processor (Pliops), (Pliops), (Pliops), (Pliops), (Pliops), (Pliops), (Pliops), (Pliops), (Pliops), (Pliops), (Pliops), (Pliops), (Pliops), (Pliops)
tf.data: A Machine Learning Data Processing Framework (Microsoft), (Google), (ETH Zurich), (Google)
Not Black-Box Anymore! Enabling Analytics-Aware Optimizations in Teradata Vantage (Teradata), (Teradata Labs), (Teradata Labs), (Teradata), (Teradata), (Teradata Labs), (Teradata Labs), (Teradata Labs), (Teradata Labs), (Teradata Labs)
Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters (Alibaba Group), (Alibaba), (Alibaba Group), ( Alibaba Group), (Alibaba Group), (Alibaba Group), ( Alibaba Group), (Alibaba Group), (Alibaba Group), (Alibaba Group), (Alibaba Group), (Alibaba Group), ( Alibaba Group), (Alibaba Group)
Napa: Powering Scalable Data Warehousing with Robust Query Performance at Google (Google Inc), (Google Inc), (Google), (Google Inc), (Google), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google, LLC), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google Inc), (Google), (Google), (Google), (Google Inc), (Google)
The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product (Rateup Inc.), (Rateup Inc.), (Rateup Inc.), (Rateup Inc.), (Rateup Inc.), (Rateup Inc.), (Ohio State U.)
RAMP-TAO: Layering Atomic Transactions on Facebook's Online TAO Data Store (UC Berkeley), (Facebook, Inc.), (Facebook, Inc.), (Facebook, Inc.), (Facebook, Inc.), (Facebook, Inc.), (Rockset), (), (UC Berkeley), (UC Berkeley)
openGauss: An Autonomous Database System (Tsinghua University), (Tsinghua), (Tsinghua University), (Tsinghua University), (Tsinghua University), (Tsinghua University), (Tsinghua University), (Huawei), (Huawei)
Using VDMS to Index and Search 100M Images (ApertureData), (Intel Corporation)
Hyperspace: The Indexing Subsystem of Azure Synapse (Microsoft), (Microsoft), (Microsoft), (Microsoft Research), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft)
SpeakNav: Voice-based Route Description Language Understanding for Template Driven Path Search (Huazhong University of Science and Technology), (Huazhong University of Science and Technology), (Huazhong University of Science and Technology), (Didi Chuxing), (Didi Chuxing), (Zhejiang University), (Zhejiang University), (The Hong Kong University of Science and Technology), (Aalborg University)
Railgun: managing large streaming windows under MAD requirements (Feedzai), (Feedzai), (Feedzai), (Feedzai)
Big Metadata : When Metadata is Big Data (Google), (Google)
Tanium Reveal: A Federated Search Engine for Querying Unstructured File Data on Large Enterprise Networks (Tanium), (Tanium), (Tanium)
Hazelcast Jet: Low-latency Stream Processing at the 99.99th Percentile (Hazelcast Inc.), (Hazelcast Inc.), (Hazelcast Inc.), (Layer Co ), (Facebook Inc.), (Hazelcast Inc.), (Hazelcast Inc.), (Hazelcast Inc), (Hazelcast Inc.), (Hazelcast Inc.), (Hazelcast Inc.), (Layer Co), (Mansoura University), (TU Delft), (TU Delft)
SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft (Microsoft), (Microsoft), (Microsoft), (University of Wisconsin-Madison), (Microsoft), (Microsoft), (Microsoft), (Microsoft)
Watermarks in Stream Processing Systems: Semantics and Comparative Analysis of Apache Flink and Google Cloud Dataflow (Oak Ridge National Laboratory), (Snowflake Inc), (Google Inc.), (Ververica GmbH), (Oak Ridge National Laboratory ), (Google Inc.), (Google Inc.), (Snowflake Inc.)
The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward (Microsoft),, (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft), (Microsoft)