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Home/ Questions/Q 627977
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Editorial Team
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Editorial Team
Asked: May 13, 20262026-05-13T19:35:12+00:00 2026-05-13T19:35:12+00:00

I am designing a system for a client, where he is able to create

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I am designing a system for a client, where he is able to create data forms for various products he sales him self.
The number of fields he will be using will not be more than 600-700 (worst case scenario). As it looks like he will probably be in the range of 400 – 500 (max).

I had 2 methods in mind for creating the database (using meta data):

a) Create a table for each product, which will hold only fields necessary for this product, which will result to hundreds of tables but with only the neccessary fields for each product

or

b) use one single table with all availabe form fields (any range from current 300 to max 700), resulting in one table that will have MANY fields, of which only about 10% will be used for each product entry (a product should usualy not use more than 50-80 fields)

Which solution is best? keeping in mind that table maintenance (creation, updates and changes) to the table(s) will be done using meta data, so I will not need to do changes to the table(s) manually.

Thank you!

/**** UPDATE *****/

Just an update, even after this long time (and allot of additional experience gathered) I needed to mention that not normalizing your database is a terrible idea. What is more, a not normalized database almost always (just always from my experience) indicates a flawed application design as well.

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  1. Editorial Team
    Editorial Team
    2026-05-13T19:35:13+00:00Added an answer on May 13, 2026 at 7:35 pm

    Your key deciding factor is whether normalization is required. Even though you are only adding data using an application, you’ll still need to cater for anomalies, e.g. what happens if someone’s phone number changes, and they insert multiple rows over the lifetime of the application? Which row contains the correct phone number?

    As an example, you may find that you’ll have repeating groups in your data, like one person with several phone numbers; rather than have three columns called “Phone1”, “Phone2”, “Phone3”, you’d break that data into its own table.

    There are other issues in normalisation, such as transitive or non-key dependencies. These concepts will hopefully lead you to a database table design without modification anomalies, as you should hope for!

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