The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The design and implementation of INGRES
Open accessAbstract
The currently operational (March 1976) version of the INGRES database management system is described. This multiuser system gives a relational view of data, supports two high level nonprocedural data sublanguages, and runs as a collection of user processes on top of the UNIX operating system for Digital Equipment Corporation PDP 11/40, 11/45, and 11/70 computers. Emphasis is on the design decisions and tradeoffs related to (1) structuring the system into processes, (2) embedding one command language in a general purpose programming language, (3) the algorithms implemented to process interactions, (4) the access methods implemented, (5) the concurrency and recovery control currently provided, and (6) the data structures used for system catalogs and the role of the database administrator. Also discussed are (1) support for integrity constraints (which is only partly operational), (2) the not yet supported features concerning views and protection, and (3) future plans concerning the 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
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
Ritchie, D. M., & Thompson, K. (1974) · Communications of the ACM · doi:10.1145/361011.361061 · Cited by 826
Cited by
Fuzzy functional dependencies and lossless join decomposition of fuzzy relational database systems
Raju, K. V. S. V. N., & Majumdar, A. K. (1988) · ACM Transactions on Database Systems · doi:10.1145/42338.42344 · Cited by 406
Relational database: a practical foundation for productivity
Codd, E. F. (1982) · Communications of the ACM · doi:10.1145/358396.358400 · Cited by 351
Metadata
- Authors
- Stonebraker, M., Held, G., Wong, E., & Kreps, P.
- Venue
- ACM Transactions on Database Systems
- Published
- 1976-09
- Volume
- 1
- Issue
- 3
- Pages
- 189-222
- ISSN
- 0362-5915 (ISSN-L)
- 1557-4644
- OpenAlex
- W2133384222
- Cited by
- 886
- References
- 2
- FWCI
- 37.32
- Type
- journal article
- Language
- en
- Open access
- bronze
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 and implementation of INGRES. https://app.cochat.ai/papers/10.1145/320473.320476
- The paper
- Stonebraker, M., Held, G., Wong, E., & Kreps, P. (1976). The design and implementation of INGRES. ACM Transactions on Database Systems. https://doi.org/10.1145/320473.320476
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.
