𝗛𝗼𝘄 𝗧𝗼 𝗣𝗶𝗰𝗸 𝗧𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲

𝗛𝗼𝘄 𝗧𝗼 𝗣𝗶𝗰𝗸 𝗧𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲

Picking a database keeps you up at night. Use this guide to make the right call for your project.

Ask these questions first:

• What shape is your data?
• Does your schema change often?
• Are your relationships complex?
• What are your query patterns?
• What is your scale?
• Who operates it?

Quick rules:

• ACID and complex links: Relational DB
• Flexible schema: Document DB
• Low latency: Key-Value store
• Graph links: Graph DB
• Time data: Time-Series DB

The Database Types:

Relational (SQL) Best for accuracy and consistency. Examples: PostgreSQL, MySQL.

Document Best for evolving data. Examples: MongoDB, Couchbase.

Key-Value Best for extreme speed. Examples: Redis, DynamoDB.

Vector Best for AI and semantic search. Examples: Pinecone, Milvus.

Graph Best for networks and connections. Examples: Neo4j, Neptune.

Time-Series Best for sensor logs and metrics. Examples: InfluxDB, TimescaleDB.

Final advice:

• Put correctness first for money or health systems. Scale later.
• Pick tools your team knows.
• Test your hot paths with load tests.
• Plan backups from day one.

Source: https://dev.to/gauravk_tweet/how-to-pick-the-perfect-database-without-losing-your-mind-7ll