Databases
Build structured databases that connect your business data with IoT devices and sensors
Databases allow you to create custom structured databases to store and organize your information. Each table can have multiple columns of different types, with built-in validation, permissions, and integration with your IoT devices.
Databases are integrated with Blynk.Console and mobile applications.
Supported Column Types
Text
Store words, sentences, or paragraphs
Names, descriptions, notes, addresses
Integer
Whole numbers only
Counts, quantities, IDs, ages
Double
Numbers with decimals
Measurements, prices, percentages, sensor readings
Date
Calendar dates
Deadlines, birthdays, creation dates, schedules
Enum
Predefined list of options
Status values, categories, priority levels
Device Reference
Link to your IoT devices
Associate records with specific devices
Table Reference
Link to other data tables
Connect related information across tables
Formula
Calculated values
Automatic calculations based on other columns
List
Multiple device references
When one record relates to several devices
Aggregation
Summary calculations
Totals, averages, counts from related data
System-Managed Columns
Created At
When the record was first created
Modified At
When the record was last updated
Created By
Who created the record
Organization
Which organization owns the record
Column Configuration
Text Columns
Configure text-based data with validation and formatting options.
Minimum Characters
Shortest allowed text length
Require at least 3 characters for names
Maximum Characters
Longest allowed text length
Limit descriptions to 500 characters
Default Value
Text automatically filled in
"New Item" or "{timestamp}" for current date
Placeholder
Helpful hint text
"Enter customer name here..."
Required
Must be filled in
✓ Make name field mandatory
Number Columns (Integer & Double)
Configure numeric data with precision and unit support.
Minimum Value
Smallest allowed number
Don't allow negative quantities
Maximum Value
Largest allowed number
Limit temperature readings to 100°C
Default Value
Number automatically filled in
Start quantity at 0
Unit
Measurement unit display
°C, kg, meters, $
Decimal Format
How many decimal places
Show 2 decimals for prices
Required
Must be filled in
✓ Require price entry
Date Columns
Configure date fields with range restrictions.
Start Limit
Earliest allowed date
No dates before January 1, 2020
End Limit
Latest allowed date
No future dates beyond next year
Required
Must be filled in
✓ Require delivery date
Enum (Dropdown) Columns
Create predefined lists of options for consistent data entry.
Options List
Available choices
Low/Medium/High or Red/Yellow/Green
Default Selection
Automatically chosen option
Default to "Medium" priority
Required
Must select an option
✓ Require status selection
Device Reference Columns
Link records to your IoT devices for better data organization.
Device Template
Filter to specific device types
Only show temperature sensors
Deletion Behavior
What happens if device is deleted
Remove reference or delete entire record
Required
Must select a device
✓ Require device assignment
When a referenced device is deleted, you can choose to either remove the reference (set to null) or delete the entire record. Choose carefully based on your data integrity needs.
Table Reference Columns
Create relationships between different data tables.
Target Table
Which table to link to
Link to "Customers" table
Deletion Behavior
What happens if linked record is deleted
Remove link or delete this record too
Required
Must select a linked record
✓ Require customer selection
Formula Columns
Create calculated fields that automatically compute values based on other columns.
Formula Expression
Calculation to perform
price * quantity
or (temp_f - 32) * 5/9
Unit
Display unit for result
$, %, °C
Decimal Format
Result precision
Show 2 decimal places
List Columns
Store multiple references in a single field.
Maximum Items
How many items allowed
Allow up to 5 devices per record
Item Type
What can be added to list
Only device references currently supported
Aggregation Columns
Create summary calculations across related data.
Source Table
Where to get data from
"Orders" table
Linking Column
How tables connect
Match customer ID
Value Column
What to calculate
Sum the "amount" column
Calculation Type
Type of summary
Sum, Average, Count, Min, Max
Unit
Display unit
$ for monetary totals
Available Aggregation Types
Sum: Add up all values
Average: Calculate the mean value
Count: Count the number of records
Minimum: Find the smallest value
Maximum: Find the largest value
Table Configuration
General Settings
Configure the basic properties of your data table.
Table Name
Internal system name (no spaces or special characters)
Display Name
Friendly name shown to users in the interface
Singular Name
What to call one record ("Customer" not "Customers")
Display Column
Which column to show as the main identifier
Hide on Mobile
Whether to show this table on mobile devices
Icon
Visual icon URL for the table
Data Sharing Settings
Control how data is shared within your organization structure.
Share with Sub-Organizations
Allow child organizations to see records
Allow Row Creation
Let users add new records to the table
Access Control
Configure who can view and edit data at different organizational levels.
Permission Levels
Root Organization View
Roles that can see records in the main organization
Root Organization Edit
Roles that can modify records in the main organization
Sub Organization View
Roles that can see records in child organizations
Sub Organization Edit
Roles that can modify records in child organizations
Be careful when setting permissions. Overly restrictive permissions can prevent users from accessing needed data, while overly permissive permissions can compromise data security.
Best Practices
Getting Started
Naming Conventions
Use Meaningful Names: Choose clear, descriptive column names that explain what the data represents
Be Consistent: Use the same naming style throughout your tables
Avoid Special Characters: Stick to letters, numbers, and underscores for system names
Data Validation
Set Appropriate Limits: Use min/max values and character limits to prevent data entry errors
Use Required Fields Wisely: Only mark fields as required if they're truly essential
Provide Good Defaults: Set sensible default values to speed up data entry
Relationships and References
Plan Relationships: Think about how your tables connect before creating references
Choose Deletion Behavior Carefully: Consider what should happen when referenced data is deleted
Use Device References: Link records to devices to take advantage of IoT integration
Security and Access
Test Permissions: Verify that the right people can access and edit your data
Review Regularly: Periodically review access permissions as your team changes
Use Role-Based Access: Assign permissions to roles rather than individual users
Performance Considerations
Limit Formula Complexity: Keep formula expressions simple for better performance
Be Mindful of Aggregations: Complex aggregations on large datasets may impact performance
Consider Mobile Users: Use the "Hide on Mobile" setting for complex tables not suitable for small screens
For additional support, consult your account manager
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