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Design data models and database architectures that keep your applications fast, reliable, and future-proof. From SQL to NoSQL, we build databases that perform under pressure.
of enterprise data growth happens every 2 years
query performance improvement with proper indexing
database cost reduction through optimization
Your database architecture determines whether your application scales smoothly or collapses under pressure. We design databases that perform.
We design data models that naturally represent your business domain, making development faster, bugs rarer, and changes easier to implement without breaking existing functionality.
Our database optimization work delivers 50-80% faster queries, 2-5x improved concurrency, and 40-70% cost reduction through intelligent indexing, caching, and architectural improvements.
Your database architecture should mirror your business domain, not fight against it. We design data models that naturally represent your business entities, relationships, and rules, making development faster, bugs rarer, and future changes easier. A well-designed data model becomes the foundation for reliable, maintainable applications.

Slow queries and database bottlenecks kill user experience and limit growth. We analyze query patterns, optimize indexes, tune configurations, and implement caching strategies that dramatically improve performance. Our optimization work ensures your database performs efficiently whether you have 1,000 or 10 million records.

Your data is your most valuable asset. We implement comprehensive security layers including encryption, access controls, audit logging, and backup strategies that protect against breaches, data loss, and compliance violations. Our security-first approach ensures your data remains safe, compliant, and recoverable in any scenario.

As your application grows, your database needs to scale seamlessly without performance degradation or architectural rewrites. We design scalable architectures using sharding, replication, partitioning, and distributed database patterns that handle exponential growth while maintaining performance and reliability.

See how we have helped organizations build scalable, high-performance database architectures that power growth.

DataFlow Analytics
Complete database refactoring and optimization for a growing SaaS analytics platform experiencing severe performance degradation. Redesigned data model, implemented intelligent indexing, and introduced caching layers.
A systematic approach to designing and implementing database architectures that scale
Comprehensive analysis of your current database state, data models, query patterns, performance bottlenecks, and business requirements. We examine data volume, growth projections, access patterns, and technical constraints.
Design optimal database architecture including entity-relationship diagrams, schema design, indexing strategy, partitioning approach, and technology stack selection based on your specific requirements.
Define comprehensive performance optimization strategies, security measures, backup procedures, disaster recovery plans, and compliance requirements. Plan indexing, caching, replication, and monitoring approaches.
Execute database implementation including schema creation, data migration, security configuration, performance tuning, and integration with application layer. Use proven migration strategies to minimize risk and downtime.
Comprehensive testing including load testing, data integrity validation, security audits, disaster recovery testing, and query performance verification. Ensure all requirements are met before production deployment.
Execute production deployment with monitoring setup, alerting configuration, documentation handoff, and team training. Provide ongoing support and performance monitoring to ensure continued optimal operation.
Everything you need to run, maintain, and scale your database infrastructure with confidence
Production-ready database schemas with tables, relationships, indexes, constraints, and views documented and optimized for your specific use cases.
Comprehensive ER diagrams showing all entities, relationships, cardinality, and business rules for clear understanding of your data model.
Complete security setup including encryption, role-based access control, audit logging, and compliance-ready configurations for your regulatory requirements.
Optimized indexes, query plans, caching strategies, and database configurations that deliver maximum performance for your specific workload patterns.
Automated backup strategies, disaster recovery plans, point-in-time recovery procedures, and tested restoration processes to protect your data.
Battle-tested migration scripts, data transformation tools, validation procedures, and rollback strategies for safe, reliable database changes.
Pre-configured monitoring and alerting dashboards tracking key performance metrics, query patterns, resource utilization, and health indicators.
Comprehensive documentation covering architecture decisions, schema design rationale, operational procedures, and troubleshooting guides for your team.
Knowledge transfer sessions covering database architecture, best practices, maintenance procedures, and troubleshooting techniques for your development and operations teams.
Explore our other custom software and web application development services
Robust backend systems engineered for security, reliability, and performance at scale.
Build and deploy cloud-native applications on AWS, Azure, or GCP for reliability and scale.
Custom internal tools tailored to your workflows, saving time and reducing manual work.
Automate repetitive tasks and connect systems to free your team from manual, error-prone work.
Strategic website design that converts visitors into customers with stunning visuals.
Real feedback from organizations we have helped transform their database infrastructure

“Verlua completely transformed our database architecture. Query performance improved by over 400%, and we can now handle 10x more concurrent users without any degradation. Their expertise saved our product.”
David Rodriguez
CTO at DataFlow Analytics

“The database migration was flawless. Zero downtime, perfect data integrity, and the new architecture scaled beautifully as we grew 300% in the following year. Best technical investment we made.”
Rachel Kim
VP of Engineering at Urban Marketplace

“They designed a HIPAA-compliant database architecture that passed our compliance audit with flying colors. The security measures and disaster recovery procedures give us complete peace of mind.”
Dr. Michael Chen
Chief Information Officer at MedConnect Systems
Everything you need to know about our database architecture services
Consider database architecture services if you are experiencing slow query performance, data inconsistencies, difficulty scaling your application, frequent outages, or planning to build a new application that will handle significant data volumes. Our team assesses your current state and recommends whether optimization, refactoring, or a new architecture is the right path forward.
SQL databases (like PostgreSQL, MySQL) use structured tables with predefined schemas and relationships, ideal for complex transactions and data integrity requirements. NoSQL databases (like MongoDB, DynamoDB) offer flexible schemas and horizontal scalability, better suited for unstructured data, high-velocity writes, or distributed systems. We help you choose based on your data model, scalability needs, consistency requirements, and team expertise.
Timeline varies based on scope and complexity. A database audit and optimization for an existing system typically takes 2-4 weeks. Designing a new database architecture for a greenfield application usually takes 3-6 weeks including data modeling, schema design, and implementation planning. Complex enterprise migrations or multi-database architectures may take 8-16 weeks. We provide detailed timeline estimates after our initial assessment.
Yes, most optimization work can be performed with zero or minimal downtime. We use techniques like online index creation, blue-green deployments, read replicas, and careful query optimization that operates on live systems. For major architectural changes, we design migration strategies that minimize disruption, often using parallel systems, gradual cutover, and comprehensive rollback plans.
We have deep expertise across all major database platforms including PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, Elasticsearch, SQL Server, Oracle, and Cassandra. We also work with cloud-native databases like Aurora, Cloud Firestore, and Cosmos DB. Our team selects the right platform based on your use case, not vendor preference, ensuring optimal performance and cost-effectiveness.
Database security is built into every layer of our architecture. We implement encryption at rest and in transit, role-based access control (RBAC), audit logging, network isolation, and regular security patching. For compliance requirements like HIPAA, PCI-DSS, GDPR, or SOC 2, we design architectures that meet specific regulatory standards including data masking, retention policies, and audit trails.
Performance improvements vary based on your starting point, but clients typically see 50-80% faster query response times, 2-5x improvement in concurrent user capacity, and 40-70% reduction in database costs through optimization. We establish baseline metrics during discovery and provide measurable performance targets with monitoring dashboards to track improvements over time.
Database migrations require careful planning and execution. Our process includes comprehensive data auditing, schema mapping, migration scripting with validation, extensive testing in staging environments, rollback procedures, and phased cutover strategies. We ensure data integrity through checksum validation, automated testing, and parallel running periods where both old and new systems operate simultaneously before final cutover.
Yes, we offer ongoing database management and support services including performance monitoring, query optimization, backup verification, security patching, scaling adjustments, and 24/7 emergency support. We also provide training for your internal teams on database best practices, troubleshooting, and maintenance procedures. Support packages are customized to your specific needs and service level requirements.
Pricing depends on project scope, database complexity, and data volume. Database audits and optimization projects typically range from $8,000-$20,000. Complete database architecture design for new applications ranges from $15,000-$40,000. Enterprise-scale migrations and multi-database architectures range from $40,000-$100,000+. We provide detailed proposals with fixed-price or milestone-based pricing after our initial assessment.
Let's design a database architecture that delivers blazing performance, rock-solid reliability, and effortless scalability as your business grows.