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Postgre SQL
1.0.2
0
The PostgreSQL Connection Machine serves as a critical component within the Quantum Datalytica platform, responsible for establishing, verifying, and managing connections to PostgreSQL databases. It simplifies backend integration by handling connection logistics, ensuring smooth data access for downstream processes.
Free
General Information
Machine Overview
- Machine Name : Postgre SQL
- Title : Postgre SQL
- Short Description :
The PostgreSQL Connection Machine serves as a critical component within the Quantum Datalytica platform, responsible for establishing, verifying, and managing connections to PostgreSQL databases. It simplifies backend integration by handling connection logistics, ensuring smooth data access for downstream processes. - Detail Description : The PostgreSQL Connection Machine plays a foundational role in the Quantum Datalytica workflow by streamlining connectivity to PostgreSQL databases. It accepts essential credentials and configuration parameters—such as host, port, database name, username, and password—as input. Upon receiving these inputs, the machine initiates a connection test to validate the credentials and ensure accessibility to the specified database instance. Once verified, it generates a secure and reusable connection string that is passed forward to subsequent machines within the workflow. By automating this process, the Postgres Connection Machine eliminates the need for manual setup and configuration, reducing errors and enabling seamless, efficient interactions with the database throughout the data pipeline.
- Machine Document :
Download
Classification
- Industry : IT
- Category : Database
- Sub Category : -
Compatibility and Dependencies
- Dependent Machines : -
- Compatible Machines : -
- Version : 1.0.2
Specifications
- Input Specification :
Download
Requires database credentials to establish database connection:
- Database Username (String): The username required to authenticate and connect to the database.
- Database Password (String): The secure password associated with the database username.
- Database Host (String): The endpoint or IP address of the database server.
- Database Port (Number): The port number for connecting to the database (commonly 5432 for PostgreSQL ).
- Database Name (String): The name of the database to be connected to.
- Output Specification :
Download
- Database Connection String (String): The database connection string to be passed on to the next machine.
Infrastructure Requirement
- OS Requirement : Linux
- CPU : 500m
- Cloud : AWS
- RAM : 256Mi
Usage Stats
- Total OnBoarded : -
- Active OnBoarding : -
| Parameter Name | Type | Description |
|---|---|---|
| Db Host | Text Box |
|
| Db User | Text Box |
|
| Db Password | Password |
|
| Db Name | Text Box |
|
| Db Port | Text Box |
|
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April 10, 2025
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April 10, 2025
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February 15, 2025
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If invalid credentials are provided, the machine will log an authentication error and stop execution. The user must provide correct credentials before retrying.
Yes! The machine supports both local and remote Postgres databases. Just provide the correct db_host, port, and credentials.
The generated connection string is passed to the next machine in the workflow. The next machine can use it to execute queries, insertions, or any other database operations.
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Data Not Found
Specifications
- Input Specification :
Download
Requires database credentials to establish database connection:
- Database Username (String): The username required to authenticate and connect to the database.
- Database Password (String): The secure password associated with the database username.
- Database Host (String): The endpoint or IP address of the database server.
- Database Port (Number): The port number for connecting to the database (commonly 5432 for PostgreSQL ).
- Database Name (String): The name of the database to be connected to.
- Output Specification :
Download
- Database Connection String (String): The database connection string to be passed on to the next machine.
Updates and Community
Statistics
Total Workflows
0Active Workflows
0Success Rate
N/ALast Used in Workflow
N/ACategories
Database
Support
Average Response Time 8AM-8PM