The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
The design of POSTGRES
Abstract
This paper presents the preliminary design of a new database management system, called POSTGRES, that is the successor to the INGRES relational database system. The main design goals of the new system are to provide better support for complex objects, provide user extendibility for data types, operators and access methods, provide facilities for active databases (i.e., alerters and triggers) and inferencing including forward- and backward-chaining, simplify the DBMS code for crash recovery, produce a design that can take advantage of optical disks, workstations composed of multiple tightly-coupled processors, and custom designed VLSI chips, and make as few changes as possible (preferably none) to the relational model. The paper describes the query language, programming language interface, system architecture, query processing strategy, and storage system for the new system.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
R-trees: a dynamic index structure for spatial searching
Guttman, A. (1984) · Proceedings of the 1984 ACM SIGMOD international conference on Management of data - SIGMOD '84 · doi:10.1145/602259.602266 · Cited by 6,580
A relational model of data for large shared data banks
Codd, E. F. (1970) · Communications of the ACM · doi:10.1145/362384.362685 · Cited by 5,547
A relational model of data for large shared data banks
Codd, E. F. (1983) · Communications of the ACM · doi:10.1145/357980.358007 · Cited by 4,796
Access path selection in a relational database management system
Selinger, P. G., Astrahan, M. M., Chamberlin, D. D., Lorie, R. A., & Price, T. G. (1979) · Proceedings of the 1979 ACM SIGMOD international conference on Management of data - SIGMOD '79 · doi:10.1145/582095.582099 · Cited by 2,188
Clocksin, W. F., & Mellish, C. (1984) · Springer eBooks · doi:10.1007/978-3-642-55481-0 · Cited by 2,047
System R: relational approach to database management
Astrahan, M. M., Blasgen, M. W., Chamberlin, D. D., Eswaran, K. P., Gray, J. N., Griffiths, P. P., King, W. F., Lorie, R. A., McJones, P. R., Mehl, J. W., et al. (1976) · ACM Transactions on Database Systems · doi:10.1145/320455.320457 · Cited by 1,044
The K-D-B-tree: a search structure for large multidimensional dynamic indexes
Robinson, J. T. (1981) · Proceedings of the 1981 ACM SIGMOD international conference on Management of data - SIGMOD '81 · doi:10.1145/582318.582321 · Cited by 888
The design and implementation of INGRES
Stonebraker, M., Held, G., Wong, E., & Kreps, P. (1976) · ACM Transactions on Database Systems · doi:10.1145/320473.320476 · Cited by 886
Self-citationImplementation of integrity constraints and views by query modification
Stonebraker, M. (1975) · Proceedings of the 1975 ACM SIGMOD international conference on Management of data - SIGMOD '75 · doi:10.1145/500080.500091 · Cited by 465
Self-citationOperating system support for database management
Stonebraker, M. (1981) · Communications of the ACM · doi:10.1145/358699.358703 · Cited by 382
Self-citation
Cited by
A high-throughput infrastructure for density functional theory calculations
Jain, A., Hautier, G., Moore, C. J., Ping Ong, S., Fischer, C. C., Mueller, T., Persson, K. A., & Ceder, G. (2011) · Computational Materials Science · doi:10.1016/j.commatsci.2011.02.023 · Cited by 1,041
The Case for Learned Index Structures
Kraska, T., Beutel, A., Chi, E. H., Dean, J., & Polyzotis, N. (2018) · Proceedings of the 2018 International Conference on Management of Data · doi:10.1145/3183713.3196909 · Cited by 956
AlphaFill: enriching AlphaFold models with ligands and cofactors
Hekkelman, M. L., de Vries, I., Joosten, R. P., & Perrakis, A. (2023) · Nature Methods · doi:10.1038/s41592-022-01685-y · Cited by 511
A database of macromolecular motions
Gerstein, M. (1998) · Nucleic Acids Research · doi:10.1093/nar/26.18.4280 · Cited by 377
The Vadalog Parallel System: Distributed Reasoning with Datalog+/-
Bellomarini, L., Benedetto, D., Brandetti, M., Sallinger, E., & Vlad, A. (2024) · Proceedings of the VLDB Endowment · doi:10.14778/3704965.3704970 · Cited by 2
Metadata
- Authors
- Stonebraker, M., & Rowe, L. A.
- Venue
- ACM SIGMOD Record
- Published
- 1986-06-15
- Volume
- 15
- Issue
- 2
- Pages
- 340-355
- ISSN
- 0163-5808 (ISSN-L)
- OpenAlex
- W2072627547
- Cited by
- 696
- References
- 16
- FWCI
- 67.16
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The design of POSTGRES. https://app.cochat.ai/papers/10.1145/16856.16888
- The paper
- Stonebraker, M., & Rowe, L. A. (1986). The design of POSTGRES. ACM SIGMOD Record. https://doi.org/10.1145/16856.16888
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
