Comparing DTO objects with object values ββis similar to comparing oranges and apples.
They serve completely different situations. DTO defines the structure of an object / class of how data will be transferred between layers, and value objects determine the logic of equality when comparing values.

Let me explain the examples to you, let's first try to understand the objects of value: -
A Value object is an object whose equality is based on value, rather than identity.
Consider the code below, we created two objects of money: one rupee and the other one rupee currency.
Money OneRupeeCoin = new Money(); OneRupeeCoin.Value = 1; OneRupeeCoin.CurrencyType = "INR"; OneRupeeNote.Material = "Coin"; Money OneRupeeNote = new Money(); OneRupeeNote.Value = 1; OneRupeeCoin.CurrencyType = "INR"; OneRupeeNote.Material = "Paper";
Now, when you compare the above objects, the comparison below should be evaluated as true, because 1 rupee note is equal to 1 rupee in the real world.
Thus, either you use the "==" operator, or you use the Equals method, the comparison should be true. By default, "==" or "equals" will not evaluate to true, so you need to use operator overrides and override the method to get the desired behavior. You can see the link explaining how to achieve the same.
if (OneRupeeCoin==OneRupeeNote) { Console.WriteLine("They should be equal"); } if (OneRupeeCoin.Equals(OneRupeeNote)) { Console.WriteLine("They should be equal "); }
Objects with a normal value are good candidates for immutability; You can read about it from here . You can see this video that describes how you can create immutable objects.
Now let's try to understand DTO: -
DTO (Data Transfer Objects) is a data container to facilitate the transfer of data between layers.
They are also called transmission entities. DTO is used only for data transfer and does not contain business logic. They have only simple setters and getters.
For example, consider the call below, which we make with two calls to get customer data, and the other to get product data.
DataAccessLayer dal = new DataAccessLayer(); //Call 1:- get Customer data CustomerBO cust = dal.getCustomer(1001); //Call 2:- get Products for the customer ProductsBO prod = dal.getProduct(100);
Thus, we can combine the class Customer and Product in one class, as shown below.
class CustomerProductDTO { // Customer properties public string CustomerName { get; set; } // Product properties public string ProductName { get; set; } public double ProductCost { get; set; } }
Now with one call we can get both customer and product data. Data transfer objects are used in two scenarios to improve remote calls, and secondly, to align the hierarchy of objects; you can read this article , which explains more about data transfer objects.
//Only one call CustomerProductDTO cust = dal.getCustomer(1001);
Below is a complete comparison sheet.
