Code-First vs Model-First vs Database-First: Pros and Cons A comparison of three different ORM Data Modeling Approaches: Code-First, Model-First and Database-First

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When working with object-relational mapping (ORM) frameworks such as Entity Framework, we often have to choose between one of the three available approaches to model the data structure: Model-FirstDatabase-First, and Code-First. Each one of them comes with its fair amount of advantages and disadvantages, as the experienced readers and seasoned DB developers will most certainly know: nonetheless, it could be useful to spend some words on each one of them to help the less experienced coders in taking the best choice for their specific scenario.

IMPORTANT: We'll mostly talk about Entity Framework / EF Core in the following samples, but the concepts can be easily adapted to any other ORM framework as well.

Model-First

If we’re not familiar with most IDE design tools such as the Microsoft Visual Studio's XML-based DataSet Schema (XSD) and the Entity Designer Model XML visual interface (EDMX), the Model-First approach can be rather confusing. The key to understand it is to acknowledge the fact that the word Model here is meant to define a visual diagram built with the design tools; that diagram will then be used by the Framework to autogenerate the Database SQL script and the Data Model source code files.

To summarize it, we can say that going Model-First basically means "working on a visual diagram and letting the ORM framework - in our example, the Entity Framework - create/update the rest accordingly":

Code-First vs Model-First vs Database-First: Pros and Cons

Such approach has the following benefits:

  • We'll be able to create the Database schema and the class diagram as a whole using a visual design tool, which can be great when the data structure is quite big
  • Whenever the Database changes, the model can be updated accordingly, without data loss

Yet also the downsides below:

  • The diagram-driven, autogenerated SQL scripts can lead to data loss in case of updates. An easy workaround for that will be generating the scripts on disk and manually modify them, which will require decent SQL knowledge.
  • Dealing with the diagram can be tricky, especially if we want to have precise control over our Model classes; we won’t always be able to get what we want, as the actual source code will be autogenerated by a tool

Database-First

Given the disadvantages of Model-First, we can think that Database-First might be the way to go. This can be true if we either have a Database already or don’t mind building it beforehand. That being the case, the Database-First approach is similar to the Model-First one, except that it goes the other way around; instead of designing the EDMX manually and generating the SQL script to create the Database, we build the latter and then generate the former using the Entity Framework Designer tool.

We can summarize it by saying that going Database-First will mean "building the Database and letting Entity Framework create/update the rest accordingly":

Code-First vs Model-First vs Database-First: Pros and Cons

Here are the pros of this alternative approach:

  • If we have an already-existing Database in place, this will most likely be the way to go as it will spare us the need to recreate it
  • Risk of data loss will be kept to a minimum, because any change or update will be always performed on the Database

And here are the cons:

  • Manually updating the Database can be tricky if we’re dealing with clusters, multiple instances, or a number of development/testing/production environment, as we will have to manually keep them in sync instead than relying upon code-driven updates/migrations or autogenerated SQL scripts
  • We will have even less control over the autogenerated Model classes (and their source code) than using Model-First approach; it will require an extensive knowledge over EF conventions and standards, otherwise we’ll often struggle to get what we want

Code-First

Last but not least comes the Entity Framework flagship approach since EF4, which enables an elegant, highly-efficient Data Model development workflow. The appeal of this approach can be easily found in its premise; the Code-First approach allows the developer to define model objects using only standard classes, without the need of any design tool, XML mapping files, or cumbersome piles of autogenerated code.

To summarize it, we can say that going Code-First means writing the Data Model entity classes we’ll be using within our project and let Entity Framework generate the Database accordingly:

Code-First vs Model-First vs Database-First: Pros and Cons

The Code-First approach comes with the following benefits:

  • No need for diagrams and visual tools whatsoever, which can be great for small-to-medium size projects as it will save us a lot of time
  • A fluent code API that allows the developer to follow a Convention over Configuration approach, to handle the most common scenarios, while also giving him the chance to switch to custom, attribute-based implementation overrides whenever he needs to customize the Database mapping

Yet it also has these downsides:

  • A good knowledge of the ORM programming language and conventions - C# for Entity Framework - is required
  • Maintaining the Database can be tricky sometimes as well as handling updates without suffering data loss; the Entity Framework's migrations support, added in EF 4.3 to overcome the issue and continuously updated since then, greatly mitigates the problem, although it also affected the learning curve in a negative way

Taking a choice

As we can easily see by reading the advantages and disadvantages of these three options, there is no such thing as an overall better or best approach; conversely, we can say that each project scenario will likely have a most suitable approach.

However, as long as we're dealing with a rather small project - for example, a microservice - and/or we’re aiming for a flexible, mutable small-scale data structure, adopting the Code-First approach will almost always be a good choice.

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About Ryan

IT Project Manager, Web Interface Architect and Lead Developer for many high-traffic web sites & services hosted in Italy and Europe. Since 2010 it's also a lead designer for many App and games for Android, iOS and Windows Phone mobile devices for a number of italian companies. Microsoft MVP for Development Technologies since 2018.

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6 Comments on “Code-First vs Model-First vs Database-First: Pros and Cons A comparison of three different ORM Data Modeling Approaches: Code-First, Model-First and Database-First

  1. Hi Ryan,

    Thanks for your article. Its a simply way for explain ORM & EF concepts.

    I actually prepare a training on this subject for my work colleague. Can i use your schema for this ? I don’t sell it of course and i speak of you in my credits.

  2. I do think… but I am not sure that the way of using:
    – Model-First (for example designing models in workbench)
    – Exporting Models to classes by using a sort of tool similar with workbench exporter
    – Generating migrations as DB is not yet changed (only the diagram)
    is a sort of hybrid between A and C version you presented here and have both of the A&C advantages ?

  3. As a developer of some 25 years and also being the DBA for most of that time, I can say that the average developer is woefully inexperienced in database design and treating that design like just another component of the application is similar to having your plumber do your electrical wiring.

    I would not put code-first forward as a solution for anything larger than a few tables.

    1. I definitely agree: that’s why I suggested the code-first approach only for small-scale projects and clearly enumerated its downsites in the comparison.

      However, I’ve seen first hand how Code-First can sometimes ease up the transition between being a “mere” code developer and embrace a whole full-stack approach; moreover, if you’re already a full-stack developer with some decent experience in Database Administration, you can still benefit from code-first in a number of scenarios (including tests / mocks / proof of concept), eventually migrating to Database-first later on: if/when used wisely, code-first can be an effective time saver without necessarily driving the overall data structure towards a wrong direction, unless the developer recklessly sits on it.

  4. Well said Jim. I’ve seen some awful examples out there where developers who have little idea of what the data represents and more importantly, how the business plans to use/access the data (let alone understand modeling standards & conventions) create Franken-bases.

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