1. Understand the Data Model

   • Assess whether you need a relational, NoSQL, or hybrid model.
   • Consider how your data will be structured and accessed.

2. Scalability

   • Evaluate if the database can scale vertically or horizontally to handle increased loads.
   • Check for support in distributed systems if your application requires it.

3. Performance

   • Look for benchmarks and performance metrics for your use case.
   • Consider the read/write speed and latency under different loads.

4. Consistency vs. Availability

   • Understand your requirements for ACID (Atomicity, Consistency, Isolation, Durability) properties.
   • Determine the balance between consistency and availability best suited for your application (CAP theorem).

5. Ease of Use

   • Check the simplicity of installation, configuration, and management.
   • Look for user-friendly tools and documentation available for easier onboarding.

6. Support & Community

   • Assess the level of community support and availability of professional assistance.
   • Explore forums, documentation, and tutorials for help.

7. Integration Capabilities

   • Ensure compatibility with your existing tech stack and tools.
   • Check for APIs and libraries available for integration with your applications.

8. Cost

   • Analyze licensing costs, operational costs, and potential scaling costs.
   • Look for open-source options if budget is a concern.

9. Backup & Recovery

   • Investigate the database’s capabilities for backup, recovery, and data replication.
   • Ensure robust disaster recovery options are available.

10. Security Features

    • Evaluate built-in security measures like encryption and access controls.
    • Check for compliance with relevant data protection regulations.

11. Vendor Lock-in

    • Consider the implications of being tied to a specific vendor’s ecosystem.
    • Look for features enabling easier migration to alternative solutions in the future.

12. Testing and Prototyping

    • Experiment with trial versions to identify fit before fully committing.
    • Prototype your application to gauge performance and usability.

By considering these tips, you'll be better equipped to choose a database that meets your needs effectively.