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Markdown Weighted Decision Matrix & RFC Trade-off Table

Evaluate architectural decisions, frameworks, and vendor options with customizable criterion weights, calculated scores, and automated rankings.

Criteria & Candidate Scoring

Evaluation Objective

Criteria Weights (1-5 multiplier)

Candidate Scoring (1-5 score)

Write Ingestion Speed

Analytical Query Latency

Operational Overhead & Cost

Ecosystem & SQL Support

Write Ingestion Speed

Analytical Query Latency

Operational Overhead & Cost

Ecosystem & SQL Support

Write Ingestion Speed

Analytical Query Latency

Operational Overhead & Cost

Ecosystem & SQL Support

Markdown Decision Matrix TableLive GFM

# ⚖️ Architecture Decision Matrix: High-Throughput Analytical Database Engine

> **Objective:** Select database architecture capable of 100k events/sec write ingestion with sub-second aggregate queries and manageable operational overhead.

## 📊 Weighted Criteria

| Criterion | Weight (1-5) | Significance |
|:---|:---:|:---|
| **Write Ingestion Speed** | `5` | Multiplier factor for candidate evaluation |
| **Analytical Query Latency** | `5` | Multiplier factor for candidate evaluation |
| **Operational Overhead & Cost** | `4` | Multiplier factor for candidate evaluation |
| **Ecosystem & SQL Support** | `3` | Multiplier factor for candidate evaluation |

## 🏆 Comparative Scoring Matrix

| Option / Candidate | Write Ingestion Speed (w=5) | Analytical Query Latency (w=5) | Operational Overhead & Cost (w=4) | Ecosystem & SQL Support (w=3) | Weighted Total Score | Rank |
|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
| **ClickHouse** | `5/5` | `5/5` | `4/5` | `4/5` | **`78`** | 🥇 **1st (Recommended)** |
| **PostgreSQL (TimescaleDB)** | `3/5` | `3/5` | `5/5` | `5/5` | **`65`** | 🥈 2nd |
| **Amazon DynamoDB** | `4/5` | `2/5` | `3/5` | `2/5` | **`48`** | 🥉 3th |

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Complete Guide & Overview

Markdown Weighted Decision Matrix & RFC Trade-off Table

Evaluate architectural decisions, frameworks, and vendor options with customizable criterion weights, calculated scores, and automated rankings.

How to Use the Markdown Weighted Decision Matrix & RFC Trade-off Table

Input Content

Paste or compose your markdown or source data into the input editor.

Customize Settings

Select formatting options, syntax modes, or display options.

Copy or Download

Copy the processed output to your clipboard or download the generated file.

Key Features & Capabilities

Weighted Scoring Engine: Calculates total weighted scores automatically (`Score × Weight`) for transparent evaluation.

Automatic Candidate Ranking: Sorts and badges options from 🥇 1st (Recommended) through runner-ups.

Standard GFM Table Format: Perfect for dropping into Request for Comments (RFCs), ADRs, and technical proposals.

100% Client-Side Computation: Your internal architectural evaluations and vendor comparisons stay entirely private.

Frequently Asked Questions

What is a weighted decision matrix (Pugh matrix)?

A weighted decision matrix is an analytical framework that evaluates multiple candidates against a set of prioritized criteria, multiplying scores by criterion weights to determine the mathematically optimal choice.

Can I paste this matrix into an ADR (Architecture Decision Record)?

Yes! The output is clean GitHub Flavored Markdown designed to paste directly into the 'Options Considered' or 'Decision' section of any ADR.

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