What is Morph?
Morph is a cloud development environment for agile data utilization.
Data from a wide variety of sources can be imported into Morph and transformed for analysis using a simple, visual interface. But don’t let the ease-of-use fool you: Morph has a lot of power under the hood. Using SQL/Python in a code editor with AI support, the converted data is stored in PostgreSQL with auto-scaling.
Regardless of your technical level, Morph lets you build a data mart that can be connected to AI agents and BI tools.
Morph Structure
Morph can be broadly divided into Account / Team / Database / Source / Canvas:
Account: the user
Team: a user may join or own several Teams
Database: a set of Sources and Canvases within a Team
Source: a single RDB (Relational Database) table within the Database
Canvas: a visual workspace where data processing using Source data can be performed, including working collaboratively and creating charts
If you want to separate the editing and viewing rights of Sources and Canvas within the team, create the relevant Source and Canvas the ‘Private Space’ area.
The main work areas for users are Source and Canvas. Each has the following roles:
Source
- Each Source is an RDB table
- Connects to major BI tools through external connections
- AI-based pre-processing
They will be explained in the following section in more detail: Create Source.
Canvas
A collaborative workspace for data operations, Canvas processes data in units of cells. By connecting cells in a tree, you can bring together data from different branches, and create rich visualizations. The main cells are as follows:
- Source cell: This cell is used as a table in the RDB
- Python cell: This cell is used for data conversion in Python
- SQL cell: This cell is for data conversion with SQL
- API cell: This cell generates an API
- AI Chart cell: creates a chart with GUI or AI Prompt
For more information, see Using Canvas.