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What is ORD?

An object–relational database (ORD), or object–relational database management system (ORDBMS), is a database management system (DBMS) similar to a relational database, but with an object-oriented database model: objects, classes and inh…

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An object–relational database (ORD), or object–relational database management system (ORDBMS), is a database management system (DBMS) similar to a relational database, but with an object-oriented database model: objects, classes and inheritance are directly supported in database schemas and in the query language. Also, as with pure relational systems, it supports extension of the data model with custom data types and methods.

Example of an object-oriented database model[1]



An object–relational database can be said to provide a middle ground between relational databases and object-oriented databases. In object–relational databases, the approach is essentially that of relational databases: the data resides in the database and is manipulated collectively with queries in a query language; at the other extreme are OODBMSes in which the database is essentially a persistent object store for software written in an object-oriented programming language, with an application programming interface API for storing and retrieving objects, and little or no specific support for querying.



Difference between ORD and Rdbms database?



An RDBMS might commonly involve SQL statements such as these:



CREATE TABLE Customers (

Id CHAR(12) NOT NULL PRIMARY KEY,

Surname VARCHAR(32) NOT NULL,

FirstName VARCHAR(32) NOT NULL,

DOB DATE NOT NULL # DOB: Date of Birth

);

SELECT InitCap(C.Surname) || ', ' || InitCap(C.FirstName)

FROM Customers C

WHERE Month(C.DOB) = Month(getdate())

AND Day(C.DOB) = Day(getdate())



Most current SQL databases allow the crafting of custom functions, which would allow the query to appear as:




SELECT Formal(C.Id)
FROM Customers C
WHERE Birthday(C.DOB) = Today()




In an object–relational database, one might see something like this, with user-defined data-types and expressions such as BirthDay():




CREATE TABLE Customers (
Id Cust_Id NOT NULL PRIMARY KEY,
Name PersonName NOT NULL,
DOB DATE NOT NULL
);
SELECT Formal( C.Id )
FROM Customers C
WHERE BirthDay ( C.DOB ) = TODAY;




The object–relational model can offer another advantage in that the database can make use of the relationships between data to easily collect related records. In an address book application, an additional table would be added to the ones above to hold zero or more addresses for each customer. Using a traditional RDBMS, collecting information for both the user and their address requires a "join":




 SELECT InitCap(C.Surname) || ', ' || InitCap(C.FirstName), A.city
FROM Customers C JOIN Addresses A ON A.Cust_Id=C.Id -- the join
WHERE A.city="New York"




The same query in an object–relational database appears more simply:




SELECT Formal( C.Name )
FROM Customers C
WHERE C.address.city="New York" -- the linkage is 'understood' by the ORDB




_----------@-@@@@@@@@@--------

IR-PLAYBOOK-VULN-REMEDIATION
MEDIUM
SOC Incident Playbook: Vulnerability Remediation & Verification
1-Click Detection Engineering: Sigma & YARA Rules
SOC Ready
title: Detect Exploitation - What is ORD?
id: bacf9be6-faf4-4435-ba18-e3b502ab261f
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-23
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-23"
        description = "YARA Signature for "
    strings:
        $str = "What is ORD?" ascii wide
    condition:
        any of them
}
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