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Discover reviews on "best databases to use" based on Reddit discussions and experiences.

Last updated: August 20, 2024 at 07:17 PM
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Best Databases to Use

SQL Databases

  • PostgreSQL:

    • Pros: Simple and solid, good developer experience, battle tested.
    • Cons: Some users may find it complex to set up.
    • User Quote: "I would probably use postgres or even SQLite since they're simple and solid."
  • SQLite:

    • Pros: Lightweight and easy to use.
    • Cons: Limited scalability compared to other databases.
    • User Quote: "I use SQLite... Because in Prisma, JSON is not supported in SQLite."

NoSQL Databases

  • MongoDB:
    • Pros: Extremely fast and fault tolerant.
    • Cons: Some users find it worse in almost every scenario.
    • User Quote: "I would recommend noSQL database such as MongoDB its extremely fast."

Other Recommendations

  • Supabase:

    • Pros: Works well with NextJS, Postgres with easy management and nice GUI.
    • Cons: Limited information on cons provided.
    • User Quote: "I use Supabase and MongoDB. Both work perfectly with Nextjs."
  • Neon:

    • Pros: Great branching features, delightful experience.
    • Cons: Limited information on cons provided.
    • User Quote: "I've really been enjoying Neon."
  • MySQL:

    • Pros: User-friendly for beginners, widely used.
    • Cons: Limited scalability compared to other options, may have limitations for advanced users.
    • User Quote: "I was using the Google Sheets API, but see no advantage... trying to decide from these three: PostgreSQL, MongoDB, MySQL."
  • Google Sheets:

    • Pros: Ease of use.
    • Cons: Limited capabilities compared to dedicated databases.
    • User Quote: "I was using the Google Sheets API, but see no advantage..."

General Advice

  • Consider learning more about databases if unfamiliar with them, such as through online courses.
  • Evaluate the specific needs of your project to determine the most suitable database.
  • Consider the scalability, ease of use, and features offered by different databases before making a decision.
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