Database Design & Management

SQL, NoSQL, data modeling, and administration. We design databases that scale and stay fast.

From schema design to performance optimization, we handle the data layer. MySQL, PostgreSQL, MongoDB, Redis. We choose based on your access patterns, not our preferences. Database administration, migrations, and disaster recovery included.

Databases that stay fast

Data is the foundation of your application. We design schemas, optimize queries, and build data architectures that handle growth.

What we do

Data modeling that reflects your business domain. Normalized structures for integrity, denormalized where performance demands it.

Slow queries identified and fixed. Index strategies, query rewrites, execution plan analysis. We make databases fast.

Moving between database systems or versions without data loss. Migrations that don't require extended downtime.

When single-server databases aren't enough - read replicas, master-master setups, horizontal sharding.

Automated backups, point-in-time recovery, disaster recovery testing. Your data survives hardware failures and human error.

Database technologies

Relational: PostgreSQL (our default recommendation), MySQL/MariaDB, Amazon RDS and Aurora.

Document: MongoDB, Amazon DynamoDB, Couchbase.

Search and analytics: Elasticsearch, ClickHouse, TimescaleDB.

Caching: Redis, Memcached.

How we think about it

We start with access patterns. How will your data be written? How will it be read? The answers determine schema design and technology choices.

We don't guess at performance problems. We measure query times, analyze execution plans, and fix actual bottlenecks.

What works at 1,000 rows might fail at 1,000,000. We design with your growth trajectory in mind.

We don't use complex features unless they're needed. Simple schemas are easier to understand, maintain, and optimize.

Common projects

Performance optimization - fixing slow queries and database bottlenecks. Schema redesign for databases that grew organically. Technology migration - MySQL to PostgreSQL, SQL to NoSQL. Scaling with read replicas, connection pooling, caching layers. Data modeling for new applications. Compliance - audit logging, encryption, access controls.

Deliverables

Entity-relationship diagrams and schema documentation. Query analysis and optimization recommendations. Migration scripts and rollback procedures. Monitoring dashboards for database health. Backup and recovery runbooks. Performance benchmarks and baselines.

What We Offer

SQL Databases

Relational database design, optimization, and management. MySQL, PostgreSQL, and enterprise solutions.

NoSQL Solutions

Document stores, key-value databases, and graph databases for high-velocity and unstructured data.

Data Modeling

Schema design that supports your queries and scales with your growth. Getting the foundation right.

Database Administration

Backup strategies, performance tuning, security hardening, and disaster recovery planning.

Technologies

ElasticsearchMongoDBMySQLPostgreSQLRedis

Frequently Asked Questions

How do you choose the right database for a project?
We evaluate your data model, query patterns, scale requirements, and consistency needs. We work with PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, and cloud-native options like DynamoDB and Cloudflare D1. The right choice depends on your specific use case.
Can you help migrate our database to a new system?
Yes, we handle database migrations including schema redesign, data transformation, zero-downtime migration strategies, and validation. We have experience migrating between SQL databases, from SQL to NoSQL, and to cloud-managed services.
How do you optimize database performance?
We analyze slow queries, add proper indexing, implement connection pooling, set up read replicas, and design caching layers. We also review schema design and data access patterns to ensure your database scales with your application.