A spreadsheet stores information in rows and columns. A database does
that too.
So why would an organisation ever need a database?
The difference is not simply the amount of data. It is how the
information needs to be stored, related, controlled and used.
A spreadsheet is usually flat
Imagine a service organisation tracking clients.
A spreadsheet might contain:
Client Phone Service Appointment Staff
-------- ------- --------- ------------- -------
This can work initially.
But what happens when one client has 30 appointments, several services
and multiple staff members?
You either repeat the client's information many times or create
increasingly complicated sheets.
A database can separate these into related records:
- Clients
- Appointments
- Services
- Staff
- Payments
- Notes
The relationships are maintained by the system.
Signs you need a database
Consider moving to a database when:
- The same information is repeatedly entered.
- One record has many related records.
- You need reliable relationships between records.
- Multiple users need controlled access.
- You need strong validation.
- You need an audit trail.
- You need complex searching and reporting.
- The system is becoming difficult to maintain.
- Data integrity is becoming a concern.
Databases reduce duplication
Suppose a customer's phone number appears in 15 spreadsheet rows.
If the number changes, you have to ensure every row is updated.
In a properly designed database, the customer is stored once and related
transactions refer back to that customer.
This reduces duplication and makes the information easier to maintain.
A database does not automatically mean a huge system
This is an important misconception.
A database could sit behind a very small internal application.
For example:
Web form → Application → Database → Reports
The user may see a simple screen while the database handles the
underlying structure.
You do not need an enterprise ERP simply because you need a database.
What about Google Sheets?
Google Sheets can continue to be useful even when you introduce a
database.
For example, a database can store operational records while Google
Sheets is used for analysis and reporting.
The two tools can complement each other.
A practical rule
If your spreadsheet mainly answers questions such as "What are our
totals?", it may be fine.
If it is increasingly being used to answer "Who can change this?",
"Which records belong to this person?", "What happened previously?",
"Which actions are allowed?" and "How does this record relate to those
records?", you are entering database territory.
The bottom line
The decision should not be based on row count alone.
A small database can be better than a large spreadsheet when the
organisation needs structure, relationships, validation and controlled
workflows.
Trygg Montis can help you assess whether your existing spreadsheet
should be improved, automated or redesigned around a database.