Database design optimization that supports the API's performance
Starting at
$
30
/hrAbout this service
Summary
FAQs
What tools do you use to design the database schema?
I typically use tools like dbdiagram.io, DrawSQL, Lucidchart, or ERD tools built into platforms like Prisma or Sequelize to create clear and professional database diagrams.
Can you help me choose the right database for my project?
Absolutely! Based on your project's needs, I’ll recommend the best choice between SQL (e.g., PostgreSQL, MySQL) or NoSQL (e.g., MongoDB, DynamoDB), or even BaaS solutions like Supabase or Firebase if needed.
Will you set up an ORM for my project?
Yes! I’ll recommend and integrate an ORM like Sequelize, Prisma, or TypeORM, making your database easier to manage, migrate, and scale with your application.
How do you optimize the database for performance?
I optimize through normalization, proper indexing strategies, efficient query structuring, caching where necessary, and applying best practices for schema design and data access patterns.
Can you help if I already have a database but it's slow or messy?
Yes! I offer database refactoring and optimization services to clean up your existing schema, optimize queries, and improve overall performance without starting from scratch.
Do you offer post-project support?
Yes, I offer post-launch support packages to help with maintenance, scaling, troubleshooting, and further database enhancements as your application grows.
What's included
Database Schema Diagram
A visual ERD (Entity-Relationship Diagram) showing tables, fields, relationships, and constraints.
Database Schema Documentation
Detailed descriptions of each table, column, data types, indexes, primary/foreign keys, and any special constraints.
Normalized Database Structure
A properly normalized database design (typically up to 3NF or based on the project’s needs) to reduce redundancy and improve data integrity.
Choice of ORM
Recommendation and setup of an ORM (Object-Relational Mapping) tool such as Sequelize, Prisma, or TypeORM — with explanation of why it was chosen and how it integrates with the project stack.
ORM Models and Migrations
Creation of ORM models that mirror the database schema, along with migration files for consistent database updates across environments.
Query Optimization Guidelines
Suggestions or samples of optimized SQL queries (e.g., avoiding N+1 problems, using efficient joins, pagination strategies).
Backup and Recovery Plan
Guidelines or scripts for regularly backing up the database and restoring it if needed.
Database Security Recommendations
Security best practices for protecting data, such as user roles, encryption, and secure connections.
Scaling Strategy
Recommendations for database scaling solutions if required (e.g., replication, sharding, caching with Redis).
Performance Benchmark
A report showing performance improvements and baseline metrics post-optimization.
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