Service

Database Management

Managing and optimizing relational and non-relational databases for high performance.

Database Management & Optimization

At KagawaTech, we specialize in managing and optimizing both relational and non-relational databases to ensure your applications run smoothly, efficiently, and at scale. Whether you're dealing with SQL or NoSQL systems, we design robust data architectures that power performance, reliability, and scalability.

🔹 What We Offer:

Database Design & Modeling

  We craft well-structured schemas tailored to your business logic and application needs — whether it's normalized relational databases or flexible NoSQL structures.

Performance Tuning & Optimization

  We fine-tune queries, indexes, and configurations to reduce latency, improve throughput, and ensure lightning-fast access to your data.

Data Migration & Transformation

  Seamless migration of data between systems or formats (e.g., SQL to NoSQL, on-prem to cloud) with minimal downtime and data integrity checks.

Backup & Disaster Recovery

  We implement reliable backup strategies and disaster recovery plans to protect your data and keep your services resilient.

Monitoring & Maintenance

  Proactive monitoring, health checks, and routine maintenance to prevent issues before they affect performance.

Security & Access Control

  Enforce secure access to your databases with encryption, role-based access, and compliance best practices.

🛠️ Technologies We Use:

Relational Databases: PostgreSQL, MySQL, Microsoft SQL Server, SQLite

NoSQL Databases: MongoDB, Firebase Firestore, Redis, Cassandra

Cloud Databases: AWS RDS, Google Cloud SQL, Azure Cosmos DB, Supabase

Tools & Utilities: pgAdmin, MongoDB Compass, Flyway, Prisma, Liquibase

 ✅ Why Choose Us?

* Deep expertise in both SQL and NoSQL systems

* Proven strategies for high availability and fault tolerance

* Hands-on experience with cloud and on-premise environments

* Optimization techniques that unlock real-world performance gains

* Data-driven support for growing, data-intensive applications

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