Build a Free Postgres GUI in 3 Steps
A Postgres GUI helps you make the most out of your database, whether you are a coder or not.
Databases are incredible tools for businesses. They allow you to store and process data at scale so that you can make better-informed decisions.
You have two options to load data from databases. You can use code via a command line or a programming language. So, you type in the commands in a terminal or send your code to a server, and you get the results.
Or you can use a Graphical User Interface (GUI) to visually interact with your database objects. With a GUI, you interact with your database using screens, buttons, and visual elements to see what is happening.
Thus, a GUI allows you to access your database, even if you aren鈥檛 a coder. If you are a coder, it is still a great option to run simple tasks. You can always run your queries manually if you need them either way.
It is quite tricky to pick the right tool for managing SQL queries, though. There are many factors to consider, including licensing price, features, online access, number of users, ease of use, and many more.
But there鈥檚 a simple solution.
You can build your own Postgres GUI using a free, open-source low-code platform like 果冻视频.
It鈥檚 much easier than it sounds, it requires no coding knowledge and you can do it in three steps.
- Connect to your Postgres Database.
- Auto-generate the GUI screens.
- Add your custom elements to your Postgres GUI.
Today, we鈥檒l walk you through this process. You鈥檒l learn how you can connect to your database, get data from it, and generate screens automatically. Then, you鈥檒l learn how to customize the app to add your own functions.
All of that with no coding knowledge, using 果冻视频.
You might also like our guide to building a GitHub metrics dashboard .
Let鈥檚 get started!
Is there a GUI for Postgres?
Postgres is an open-source database system. It is a tool to store and process data.
Thus, it doesn鈥檛 have an official GUI.
However, there are many Postgres GUI options available. In addition, you can build your own GUI for database administration in just three steps.
We鈥檒l see what you can build in the next section.
You might also like our guide to building a MySQL GUI .
What is the best client for PostgreSQL?
The best Postgres GUI depends on your requirements. There are pre-made tools with a wide range of features and prices, yet there鈥檚 no guarantee that you鈥檒l find the perfect fit for your business.
At the end of the day, the best PostgreSQL client is the one that does everything you need. And very rarely will you find this in a premade tool.
Building an app with code can take a lot of time, and it can be very expensive. But you can use a low-code builder to do it for free.
You might also like our in-depth guide to ACID compliance .
Let鈥檚 see what we consider the best PostgreSQL client if you just want to get started.
The demo app is connected to a PostgreSQL database for a blog. You could alternatively connect to multiple databases - including SQL Server, MySQL, Oracle, and more.
There are two tables, one for posts and one for settings.
The first screen you see when you load up the web application is the posts table:

At the top, you can see the nav bar where we can select our other database table.
We鈥檝e also added front-end filtering. We can select either of our table鈥檚 columns and apply whichever filtering rules we want, using the dropdown menu.

Next, you can see the table data. You can click on individual rows or the Create Row button to manage items. These open a modal screen with forms based on our table schema.

This is just a form with fields coming from the table. But you can spice it up in any way you want to. You can include reference data, API calls, data from other tables, and even actions to send emails alongside cross-team collaboration and connection to multiple data sources.
The settings screen is very similar, but it uses slightly different elements:

All elements are the same, but instead of the dynamic filter, there鈥檚 a static search bar, pointed at the setting_key column. This is another option to filter table data, and you can see the pros and cons of each item when you are creating them.
Let鈥檚 build your Postgres GUI now.
How to build a Postgres GUI in 3 steps
If you haven鈥檛 already, the first thing you鈥檒l need to do is sign up for a free 果冻视频 account.
Join 200,000 teams building workflow apps with 果冻视频
We鈥檒l then create a new Workspace, which we鈥檒l call PostgreSQL GUI.

In 果冻视频, a Workspace is a collection of data sources, automations, and end-user apps that can all interact with one another.
We鈥檒l next be prompted to connect our first data source. 果冻视频 offers a built-in relational database, as well as native connectors for a huge range of RDBMSs, NoSQL tools, APIs, and more.
When we connect to an external database, 果冻视频 acts as a proxy, querying your data without ever storing it.

1. Connecting our database
As you can likely guess, we鈥檙e going to choose the option to connect to a PostgreSQL database.
When we do this, we鈥檙e presented with the following dialog, where we can add our config details.

We鈥檙e then asked which of our database鈥檚 constituent tables we鈥檇 like to fetch. This will enable us to interact with whichever tables we choose in the 果冻视频 builder, or end-user applications and automations.

Once we鈥檝e fetched our tables, we can interact with them using the spreadsheet-like interface in the Data section of our Workspace.

果冻视频 also gives us the ability to write, test, and save custom queries for connected databases. This means that App Admins can use the 果冻视频 builder as a fully functional Postgres GUI, right out of the box.

However, our goal today is to build a GUI for end users to take defined actions. Specifically, we want to create UIs for performing CRUD operations on either of our two tables.
Before we can examine our existing data model, we must consider some of the other actions that we can take in 果冻视频鈥檚 Data section.
Our database consists of two tables, representing the back end of a blogging platform. The posts table contains two attributes called title and content, as well as an autogenerated id.
Within the Data section, App Admins can add new rows and columns, adjust access roles, or alter how 果冻视频 will handle certain columns.

We鈥檙e going to make one small change here. Specifically, our two columns are stored as strings in Postgres, but this doesn鈥檛 account for the likely format or length of their respective values.
To alter how 果冻视频 will handle this when we come to autogenerate CRUD forms, we鈥檙e going to change the Type of our Content column from Text to Long-Form Text, as well as enabling the enable rich text support option, so users can write Markdown in our Postgres GUI.

Our settings table represents the site settings we might include on our blog. This contains two text attributes called setting_key and value, alongside an autogenerated id. We鈥檙e going to leave this table as it is.

2. Autogenerating CRUD screens
Once we鈥檙e happy with our data model, we can begin creating the front-end of our Postgres GUI.
In 果冻视频, we can do this within the Apps section of our Workspace. Any Apps we create can be configured to access any data source within their parent Workspace.

When we hit Create your first app, we鈥檒l be prompted to give it a name and URL extension. We鈥檒l simply call ours GUI.

This takes us to the 果冻视频 builder, where a blank screen has been created.

We鈥檙e going to be relying heavily on 果冻视频鈥檚 autogenerated UIs, so we can simply delete this screen.
Having done this, we鈥檙e presented with several options for creating our first screen, including starting from scratch or using one of 果冻视频鈥檚 autogenerated layouts.

We鈥檙e going to select the Table option. This will generate a working CRUD UI, based on a supported data source. When we click on this, we鈥檙e asked to select the tables we鈥檇 like to base this on.
We鈥檙e selecting both of the tables in our Postgres database, which we鈥檒l create a working CRUD UI for each.

We can then choose which kind of components we鈥檇 like to display our CRUD forms within. We鈥檙e picking the option to present these as Modals.

Here鈥檚 how our posts screen looks within the 果冻视频 builder.

We can access CREATE or UPDATE forms using the Create Row button or by clicking on individual table rows, respectively.

At this point, our Postgres GUI is already fully functional, in the sense that end-users can perform all CRUD operations on our two underlying database tables.
3. Modifying autogenerated UIs
Before we push our app live, though, we鈥檙e going to make a few UX improvements to each of our screens.
For simplicity鈥檚 sake, we鈥檒l take each one in turn.
Posts
Firstly, we can make a few adjustments to our posts screen. We鈥檒l start by updating the Text setting of our Headline component, to give this more reader-friendly display text.

We鈥檒l also deselect the id column on our table using the slider under Columns, so that it only displays Title and Content.

Within each of our Forms, we鈥檒l use the Title setting to add more human-readable display text.

Under Styles, we鈥檒l then set the Button Position to Top.

Next, a key feature of our Postgres GUI will be enabling users to perform front-end filtering. To do this, we鈥檙e going to add a Filter component.
Start by hitting the + to open our components menu. Here, we can search for Filter.

We鈥檒l add this and drag it alongside our existing button component, above our table.

The Filter component can be pointed at any data-based element on our screen. We can then select the relevant columns from this which we鈥檇 like to enable users to filter on.
We鈥檙e pointing ours at the Posts Table, and selecting title and content as our fields.

Now, users will be able to dynamically set filtering expressions from the front-end of our Postgres GUI.

Settings
Next, we can move on to making similar UX changes to our Settings screen. As we did a second ago, we鈥檒l start by updating the Headline for our screen and deselecting the id column in our table.

We鈥檒l also repeat the same process of updating the display text and button positions on our forms.

This time, however, we want to take a different approach to front-end filtering.
Specifically, rather than offering users the ability to create complex filtering expressions on the fly, we鈥檙e going to create a static search bar.
Thanks to 果冻视频鈥檚 Global Context, where all elements on a screen are exposed to the data outputs of all other components, this is easy.
We鈥檒l start by adding a Text Field component, alongside our existing Button.

This accepts several settings, but the ones we鈥檙e interested in are Field, which is used as a reference in the builder, and Placeholder, which will be our display text when the textbox is blank.
We鈥檝e set each of these to Search.

Unlike the Filter component, where we can simply select a target component, we鈥檒l need to configure our Table to apply filters based on whichever value our user inputs in our text field.
To achieve this, we鈥檒l select our Table and open the filtering menu.

We want our users to be able to search for any row, based on its setting_key. To do this, we鈥檙e going to add a filter group with three expressions, to return rows where setting_key equals, starts with or is like our text input.

We can hit the lightning bolt icon alongside any of our comparison values to access 果冻视频鈥檚 bindings menu.

Here, we can see all of the data that our Table is exposed to, including the output of our Search text field.

Within this, we can select the user input value as a binding.

We鈥檒l then repeat this process for all three of our filtering expressions.

Lastly, we鈥檒l use the dropdown at the bottom to set our filter so that all rows are returned if the text box is empty.

Now, our Postgres GUI has fully working search functionality, based on the setting_key column.

When we鈥檙e happy with our UX, we can use the Publish button to push our Postgres GUI live for end users within our Workspace.

Turn data into action with 果冻视频
果冻视频 is the open-source, low-code platform that empowers IT teams to turn data into action.
With extensive external data support, powerful AI-driven automations, autogenerated UIs, custom RBAC, optional self-hosting, free SSO, and more, there鈥檚 never been a better way to ship professional internal tools at pace.
Check out our features overview to learn more.