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Demonstration of Collaborative and Interactive Workflow-Based Data Analytics in Texera

Summary: Texera enables collaborative, interactive workflow analytics with multi-disciplinary teams; demo shows collaborative editing and shared execution. Data-centric features: operator-schema synchronization and shared-runtime monitoring during execution. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
13064
Venue
VLDB
Year
2022
Pagerank
5.2808574e-05
Overall Rank
9,361 | 35.78%
DOI
10.14778/3554821.3554888

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{liu_vldb22,
        title = {{Demonstration of Collaborative and Interactive Workflow-Based Data Analytics in Texera}},
        author = {Liu, Xiaozhen and Wang, Zuozhi and Ni, Shengquan and Alsudais, Sadeem and Huang, Yicong and Kumar, Avinash and Li, Chen},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {12},
        pages = {3738--3741},
        doi = {10.14778/3554821.3554888},
        url = {https://doi.org/10.14778/3554821.3554888},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
8,090 Amber: A Debuggable Dataflow System Based on the Actor Model 2020 VLDB 5.4890583e-05
11,814 Demonstration of Interactive Runtime Debugging of Distributed Dataflows in Texera 2020 VLDB 5.093636e-05
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