TIP: A Temporal Extension to Informix
Summary: TIP, a temporal extension to Informix built on DataBlade, enables rich time-varying data modeling and queries. Provides extensive temporal datatypes and routines, plus C/Java client libraries and a GUI for querying and browsing temporal data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jun Yang (Stanford University)
- 2. Huacheng C. Ying (Stanford University)
- 3. Jennifer Widom (Stanford University)
BibTeX Citation
@inproceedings{yang_sigmod00,
title = {{TIP: A Temporal Extension to Informix}},
author = {Yang, Jun and Ying, Huacheng C. and Widom, Jennifer},
series = {{SIGMOD} '00},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/342009.336578},
url = {https://dl.acm.org/doi/10.1145/342009.336578},
year = {2000}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,304 | Adaptable Query Optimization and Evaluation in Temporal Middleware | 2001 | SIGMOD | 5.6503928e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,641 | Coalescing in Temporal Databases | 1996 | VLDB | 7.2322209e-05 |
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