Ready to make your diagrams more colorful ? 🤩🌈🙈

We're excited to announce that you can now easily decorate your diagram by changing table header color.

Table header color syntax example

Table users as U [headercolor: #d35400] {
  id int
  full_name varchar
  created_at timestamp
  country_code int
}

Table Header Color is a premium feature of dbdiagram.io.

All you need to unlock this premium feature is to TWEET about us on Twitter.

Here is the guide 👇

• Step 1: Tweet about us on Twitter

• Step 2: Copy and paste your tweet link

• Step 3: Claim the premium feature

That's it. Enjoy and make beautiful diagrams 😎

We're excited to share that Export DBML Schema to SQL Server is now supported !

Now you can quickly design and visualize your database schema and export to SQL Server.

We heard you! dbdiagram.io now supports auto-increment!

Our DBML sample code:

Table users {
  id integer [pk, increment]
  name varchar [not null]
}

When in PostgreSQL:

CREATE TABLE "users" (
  "id" SERIAL PRIMARY KEY,
  "name" varchar NOT NULL
)

When in MySQL:

CREATE TABLE `users`
(
  `id` integer PRIMARY KEY AUTO_INCREMENT,
  `name` varchar(255) NOT NULL
)

Also, do check out our new community forum on https://community.dbdiagram.io/!

Hi dbdiagram.io users, it's been a great journey with you! To have a better focus on our engagement, we are proud to announce: We have moved our forum from Holistics forum to the new site at https://community.dbdiagram.io/!

New categories will be created and we hope this will allow you to quickly obtain answers for all your queries 😉

1. Users can define index using DBML in the code editor
2. Users can export DBML to SQL with the indexes defined as SQL

There are 3 types of index definitions:​

Example 1 with PostgreSQL​

• Index with single field (with index name):
  CREATE INDEX Date on users (created_at)

• Index with multiple fields (composite index):
  CREATE INDEX on users (created_at, country)

• Index with an expression:
  CREATE INDEX ON users (lower(name))

• (bonus) Composite index with expression:

  CREATE INDEX ON users ( country, (lower(name)) )

Indexes {
	created_at [name: "Date"]
	(created_at, country)
	`lower(name)`
    (country,`lower(name)`)
	(country) [unique]
	booking_date [type: btree]
}

Index Settings​

• type: type of index (btree, gin, gist, hash depending on DB), we only accept type Btree and Hash for now.
• name: name of index
• unique: unique index

Example 2​

Users can define single or multi-column indexes. Example 2 shows a multi-column index.

Table products {
  id int [pk]
  name varchar
  merchant_id int [not null]
  price int
  status varchar
  created_at datetime [default: `now()`]

  Indexes {
    (merchant_id, status) [name:"product_status"]
    id [unique]
  }
}

In the visual plane,​

Share with us what you think of our Index syntax or any other releases at our new community forum on https://community.dbdiagram.io/!