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Postgre SQL
1.0.0
0
The Postgres Connection Machine is a fundamental component within Quantum Datalytica, designed to establish and validate a connection to a Postgres database.
Free
General Information
Machine Overview
- Machine Name : Postgre SQL
- Title : Postgre SQL
- Short Description :
The Postgres Connection Machine is a fundamental component within Quantum Datalytica, designed to establish and validate a connection to a Postgres database. - Detail Description : This machine ensures seamless database connectivity by verifying credentials, testing the connection, and passing a connection string to the next machine in the workflow. By automating the database connection process, this machine eliminates the need for manual configuration, ensuring that subsequent machines can interact with the database efficiently.
- Machine Document :
Download
Classification
- Industry : IT
- Category : Database
- Sub Category : -
Compatibility and Dependencies
- Dependent Machines : -
- Compatible Machines : -
- Version : 1.0.0
Specifications
- Input Specification :
Download
db_host: String
db_user: String
db_password: String
db_name: String
db_port: String
- Output Specification :
Download
N/A
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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Updates and Community
Statistics
Total Workflows
0Active Workflows
0Success Rate
N/ALast Used in Workflow
N/ACategories
Database
Support
Average Response Time 8AM-8PM