Utilizing proposal templates and documents significantly democratizes decision making within communities and organizations. This structured approach ensures that ideas are judged based on merit rather than hierarchy or undue influence. They can be Design Documents or [[RFC]]s, or Proposal Docs where you compare and evaluate multiple options. > [!Keep in mind] The ultimate goal is to move beyond endless debates and subjective opinions in meetings. By presenting well-documented options side by side, we empower the group to focus on the contrasts and merits of each, enabling a more thoughtful and informed collective decision. Below is an fake project RFC which all contributors are expected to fill in **before scheduling a decision making meeting**. --- ## RFC Document: Database Selection for DataSphere Project ### RFC Number: DS-DB-2023 ### Date: October 8, 2023 ### Author: [Your Name] ### Status: Draft ### Introduction: The purpose of this RFC is to select a suitable database for the DataSphere project, which aims to handle large-scale data processing and analysis. The decision revolves around choosing between PostgreSQL and MongoDB, based on a set of predefined criteria. ### Criteria Evaluation: The following table presents a comparative analysis of PostgreSQL and MongoDB against the defined criteria: | Criteria | PostgreSQL | MongoDB | Grades | Winner | | ------------------------ | -------------- | ----------------- | ------ | ---------- | | Data Model | Relational | Document-Oriented | 3 / 5 | MongoDB | | Schema | Fixed | Dynamic | 3 / 5 | MongoDB | | Scaling | Vertical | Horizontal | 3 / 5 | MongoDB | | Performance | High | High | 4 / 4 | Tie | | Complex Queries | Better support | Limited support | 4 / 2 | PostgreSQL | | Consistency | Strong | Eventual | 4 / 3 | PostgreSQL | | ACID Compliance | Yes | No | 5 / 2 | PostgreSQL | | JSON Support | Good | Excellent | 4 / 5 | MongoDB | | Community and Support | Strong | Strong | 4 / 4 | Tie | | Operational Maturity | High | High | 4 / 4 | Tie | | Indexing | Robust | Robust | 4 / 4 | Tie | | Text Search Capabilities | Good | Good | 4 / 4 | Tie | | Geospatial Support | Excellent | Excellent | 5 / 5 | Tie | | Cost | Open Source | Open Source | 5 / 5 | Tie | | Ease of Use | Moderate | Easy | 3 / 5 | MongoDB | ### Total Score: PostgreSQL - 59, MongoDB - 67 ### Recommendation: Based on the comparative analysis, MongoDB is recommended as the database for the DataSphere project due to its higher total score, flexibility, ease of use, excellent JSON support, and horizontal scalability which are pivotal for handling big data scenarios. ### Request for Comments: This section of the document invites comments and suggestions from stakeholders to ensure that all aspects have been considered and to finalize the database selection. Please submit your comments by [Specify Deadline]. ### Revision History: - Draft 1.0 - October 8, 2023 - Initial draft comparing PostgreSQL and MongoDB for the DataSphere project. ### References: - PostgreSQL Official Documentation - MongoDB Official Documentation ---