Data Handler
- website

Introduction
Everything is a Resource. And Everything has a CRUD API
With Data handler, you can create CRUD APIs for your data in a few minutes
type: resource
name: country
properties:
- name: name # name of the property
type: STRING # type of the property
length: 255
required: true
unique: true
- name: description # name of the property
type: STRING # type of the property
length: 255
So you are ready, you have fully established Rest API for country resource
axios.post('http://localhost:9009/country', {
name: 'Country1',
description: 'Sample Country 1'
})
You can build entire application with resources and references between them (like relations in relational databases)
Everything can be written by resources, not?
Let's extend our country resource
countryExtension.onCreate(async (country) => {
country.description = country.description + ' - Extended'
return country
})
So we have extended our country resource with modification description on create
So, with data handler, you can create your application with resources and you can customize behavior of your resources with extensions
About
Data Handler is a Low Code software that allows to create various Grpc and Rest APIs from various database platforms
Features
- Declarative - Data handler is declarative. You can define your schema in a declarative way, it will create your APIs
- Low Code - With data handler, you can create APIs for your data without coding. But you can also extend your APIs with
extensions, so you can customize behavior of your Resources/Apis
- Rest API - As you create resources, Rest Apis for them is made automatically
- Grpc - As you create resources, Grpc Apis for them is made automatically
- Database agnostic - Data handler is using Postgresql database by default, but it also supports various databases. Including Mongo, Mysql, Redis, etc.
- CRUD - Crud is on the heart of data handler.
- Swagger - Swagger docs are generated automatically
- Authentication - Data handler supports various authentication methods. Including JWT authentication etc.
- Authorization - Data handler supports authorization. You can define permissions for your resources
- Multi Database - You can define multiple databases and do operations on top of them
- Scalable - Data handler is scalable. You can run it on multiple instances, and it will work as expected, as Data handler does not have any data internally, you can scale it.
- Extensible - Data handler is extensible. You can extend your resources with extensions. You can also extend your APIs with extensions
- CLI support - Data handler has a cli tool to manage your resources, dataSources, etc. It is called
dhctl
- Docker - Data handler is dockerized. You can run it on docker
- Docker Compose - Data handler is docker-compose ready. You can run it on docker-compose, see docker-compose
- Kubernetes - Data handler is kubernetes ready. You can run it on kubernetes, see kubernetes
Use Cases
- Creating backend for your mobile application or website
- Creating backend for your existing database
- Managing your data in a CRUD fashion
- Creating Standardized, well documented APIs for your data
Quick Example

country.yml
type: resource
name: country
properties:
- name: name
type: STRING
length: 255
required: true
unique: true
- name: description
type: STRING
length: 255
dhctl apply -f country.hcl
Swagger: http://localhost:9009/docs/index.html
# Create Country
curl -X POST --location "http://localhost:9009/country" \
-H "Authorization: <token>" \
-d "{
\"name\": \"Country1\",
\"description\": \"Sample Country 1\"
}"
# List Countries
curl "http://localhost:9009/country" -H "Authorization: <token>"
Quick Start
Let's run application on standalone mode:
docker run -d -p 9009:9009 -v ./data:/var/lib/postgresql/data tislib/data-handler:full-latest
Let's install our client dhctl
You can download client binary from release page https://github.com/tislib/data-handler/releases/latest (download dhctl-OS-ARCH)
You can also use go install if you have go runtime on your local
go install github.com/tislib/data-handler/cmd/dhctl@latest
Now let's configure our client to point to server
mkdir -p ~/.dhctl
nano ~/.dhctl/config
Paste config to there
type: server
servers:
- name: local
host: 127.0.0.1:9009
authentication:
username: admin
password: admin
defaultServer: local
Now we are ready.
you can find various tutorials here
- Tutorials - Tutorials
- Installation - Installation
- General - General information about Data Handler
- API - GRPC and Rest API documentation
- CLI - CLI interface(dhctl) documentation
- Proto - Proto documentation
- SDK - SDK documentation