This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
# Example Title: Database Choice for User Data
## Context and Problem Statement
We need a scalable database to store and manage user data efficiently as our user base grows.
## Decision Drivers
* Scalability
* Data consistency
* Ease of integration with existing services
## Considered Options
* PostgreSQL
* MongoDB
* Amazon DynamoDB
## Decision Outcome
Chosen option: **PostgreSQL** because it provides strong data consistency and aligns well with our need for complex queries.
### Consequences
* **Good:** Supports ACID compliance, enhancing data reliability.
* **Bad:** May require more tuning to achieve high performance with large datasets.
### Confirmation
We’ll confirm this decision through periodic load tests and performance reviews as the user base scales.
## Pros and Cons of the Options
### PostgreSQL
* **Good:** ACID compliance, robust community support.
* **Neutral:** Setup and tuning can be time-consuming.
* **Bad:** Lacks native horizontal scaling.
### MongoDB
* **Good:** Schema flexibility, horizontal scaling.
* **Bad:** No ACID compliance across collections, limiting data integrity.
## More Information
For additional details, see the database performance evaluation [here](link-to-evaluation).
Example Title: Database Choice for User Data
Context and Problem Statement
We need a scalable database to store and manage user data efficiently as our user base grows.
Decision Drivers
- Scalability
- Data consistency
- Ease of integration with existing services
Considered Options
- PostgreSQL
- MongoDB
- Amazon DynamoDB
Decision Outcome
Chosen option: PostgreSQL because it provides strong data consistency and aligns well with our need for complex queries.
Consequences
- Good: Supports ACID compliance, enhancing data reliability.
- Bad: May require more tuning to achieve high performance with large datasets.
Confirmation
We’ll confirm this decision through periodic load tests and performance reviews as the user base scales.
Pros and Cons of the Options
PostgreSQL
- Good: ACID compliance, robust community support.
- Neutral: Setup and tuning can be time-consuming.
- Bad: Lacks native horizontal scaling.
MongoDB
- Good: Schema flexibility, horizontal scaling.
- Bad: No ACID compliance across collections, limiting data integrity.
More Information
For additional details, see the database performance evaluation here.