At Custom Discoveries, we’re thrilled to introduce Cheetah, a free command-line Rapid Application Deployment (RAD) tool created specifically for TigerGraph developers, enabling fast development of proof-of-concept (POC) graph solutions.

Cheetah simplifies administrative functions for the TigerGraph ‘Classic’ Database and enables effortless deployment of TigerGraph Database Data Definition Language (DDL) scripts with minimal effort.

Cheetah main features include being able to create a graph, define a schema, creates and installs queries, and load data for both Vertices and Edge’s. If the data file is greater than 100MB, Cheetah will split the file into smaller files to assure that all of the data will be loaded into the cloud. It streamlines the handling of secrets, tokens, and security authentication, offering smooth access to a TigerGraph database, whether hosted in the cloud or running in a Docker container.

Cheetah is a (compiled) Python3 tool that is supported on Linux (Ubuntu) and macOS (Intel & Apple Silicon) platforms. One of its key features is the ability to “Flip” between local and remote Servers, allowing a developer to develop locally and deploy in their TigerGraph database schema in the cloud.

Cheetah is built on the principle of “Separation of Concerns,” utilizing a folder structure to organize different DDL scripts for building and loading a Graph instance.  Each TigerGraph “Graph Instance” is contained into its own folder, known as a project folder.

Each project folder has a set of subfolders for DDL statements. One subfolder is for schema, another, for query definitions, and finally a subfolder for data loading process for the vertices and edges.

Another one of Cheetah’s key features is its ability to load files in sequence. Simply append the file name with a number in brackets before the extension (e.g., mySubQuery[1].gsql, myQuery[2].gsql). This is particularly useful for loading sub-query routines that need to be prioritized.

Alongside the DDL folder is a GraphData folder, which holds all the data files that will be used by the DDL scripts in the Data folder.

Not to worry, you do not need to create this folder structure. Cheetah will create this file structure for you when you’re setting up a new Project Folder, populating the folders with a template DDL scripts.

Please Note: It is important that you follow the DDL template patterns for Schema definition and Data loading. Some functions like ‘Create Graph’ and ‘Drop Graph’ are handled by Cheetah and isn’t necessary that you add those commands to the DDL files.

Finally, as part of the project folder setup, Cheetah will create a configuration file, depending on if you’re trying to connect ‘remote’ (remoteAdminConfig.txt) to a TigerGraph iCloud instance or if your running locally (localAdminConfig.txt) under a Docker image. These files will capture your dba username and password, with the secret and token information all encrypted to keep your sensitive information private.a