Database Solutions & Optimization

Design, optimize, and scale databases that power your applications. From SQL to NoSQL, we build data infrastructure that's fast, reliable, and cost-effective.

Why Database Design Matters

Your database is the foundation of your application. Poor database design can cripple performance, limit scalability, and increase costs. We've optimized databases serving 21M+ users, reduced query times from minutes to milliseconds, and cut database costs by 40-60% through strategic optimization.

⚡ 10-100x Faster Queries

Proper indexing, query optimization, and caching strategies can transform slow queries from seconds to milliseconds.

💰 40-60% Cost Reduction

Optimize storage, reduce redundancy, and right-size database instances. We help you pay only for what you need.

📈 Scale to Millions

Horizontal scaling, read replicas, and sharding strategies that grow with your business from 1K to millions of users.

Our Database Services

🏗️

Database Design & Architecture

Design normalized schemas, choose the right database for your use case, and plan for scalability from day one.

What We Do:
  • Entity-relationship modeling and normalization
  • Database selection (SQL vs NoSQL vs NewSQL)
  • Indexing strategy and partitioning plans
  • Data modeling for multi-tenancy
🚀

Query Optimization & Performance Tuning

Identify slow queries, optimize execution plans, and implement caching. We've reduced query times from minutes to milliseconds.

Optimization Strategies:
  • Query execution plan analysis (EXPLAIN)
  • Index optimization and covering indexes
  • Database parameter tuning
  • Materialized views and denormalization
📊

Database Scaling & Replication

Scale your database horizontally and vertically. Implement read replicas, sharding, and multi-region deployments.

Scaling Approaches:
  • Read replicas for read-heavy workloads
  • Horizontal sharding strategies
  • Connection pooling (PgBouncer, ProxySQL)
  • Multi-region active-active setup
🔄

Database Migration & Modernization

Migrate from legacy databases to modern systems with zero downtime. Oracle to PostgreSQL, MySQL to Aurora, on-premise to cloud.

Migration Services:
  • Schema migration and data transformation
  • Zero-downtime migration strategies
  • Data validation and consistency checks
  • Rollback planning and disaster recovery

Database Technologies We Work With

🗄️ SQL / Relational Databases

PostgreSQL Our go-to for complex queries, JSON support, and ACID compliance. Extensions like PostGIS for geospatial data.
MySQL / MariaDB Fast, reliable, and widely supported. Great for web applications and e-commerce platforms.
AWS Aurora MySQL/PostgreSQL compatible with 5x performance and auto-scaling. Perfect for cloud-native apps.

📦 NoSQL Databases

MongoDB Document database for flexible schemas and rapid iteration. Great for product catalogs and content management.
Redis In-memory key-value store for caching, sessions, real-time analytics, and pub/sub messaging.
DynamoDB Fully managed key-value and document database with single-digit millisecond performance at any scale.

🔍 Specialized Databases

Elasticsearch Full-text search, log analytics, and real-time data analysis. Perfect for search features and monitoring.
Cassandra Distributed NoSQL for high write throughput and linear scalability across multiple data centers.
ClickHouse Columnar database for real-time analytics on billions of rows. 100-1000x faster than traditional OLAP.

Real-World Optimization Success

🛒 E-Commerce Platform: 60% Cost Reduction

Optimized database for a global e-commerce platform processing millions in daily transactions. Reduced query times from 5-10 seconds to under 100ms and cut database costs by 60%.

What We Did:
  • Implemented read replicas for product catalog queries
  • Added Redis caching layer (90% cache hit rate)
  • Optimized 50+ slow queries with proper indexing
  • Partitioned large tables by date for faster writes
  • Migrated from on-premise MySQL to AWS Aurora
100ms
From 5-10s
60%
Cost Reduction
90%
Cache Hit Rate
0
Downtime

Our Database Optimization Process

1. Performance Audit

Identify slow queries, analyze execution plans, review indexing strategy, and assess current performance metrics.

2. Quick Wins

Add missing indexes, optimize obvious query issues, implement connection pooling, and tune database parameters.

3. Caching Strategy

Implement Redis/Memcached for frequently accessed data, materialized views for complex aggregations.

4. Scaling Plan

Design read replicas, sharding strategy, and multi-region setup for long-term scalability.

Ready to Optimize Your Database?

Let's discuss your database challenges. Get a free consultation to explore optimization strategies and cost reduction.

Get In Touch View Pricing