Database Engineering & Modernization Services

Database Architecture

Database Architecture & Engineering

Database choices shape application behavior, availability, operating cost and modernization options.

OptiSoftware works across database and data-platform architecture, data modeling, application dependencies, security, monitoring, backup and recovery, replication and operational design. Recommendations account for the role of each platform in the broader system.

Engineering concerns

Database architecture
Data modeling
Application dependencies
Security and monitoring
Backup and recovery
Replication
High availability
Operational requirements

Database & Data Platforms

Engineering Across Relational, NoSQL and Search

Platform expertise spans relational databases and data technologies with distinct models and workloads.

01

Relational Databases

Architecture, performance and modernization for enterprise relational systems.

Oracle
IBM Db2
PostgreSQL
SQL Server

02

NoSQL Data

Consider data shape, access patterns, consistency and application coupling when engineering NoSQL platforms.

MongoDB
Data modeling
Application dependencies

03

Search & Analytics

Search and analytics capabilities require their own indexing, query and operational considerations.

Elasticsearch
Search architecture
Analytics workloads

OracleIBM Db2PostgreSQLSQL ServerMongoDBElasticsearchAWS Data Services

Practical Modernization

Database Modernization Strategy

Modernize the data platform in step with the applications and business processes that rely on it.

Modernization can mean optimizing a database in place, improving its architecture, integrating it with new services, changing its schema, moving selected data or migrating a workload. The appropriate path depends on workload characteristics, dependencies, availability needs and business priorities.

UnderstandWorkloadData modelApplication couplingOperations

Select an approachOptimizeIntegrateReplatformMigrate selectively

SupportPerformanceAvailabilitySecurityApplication change

Performance Engineering

Performance Tuning & Optimization

Measure database behavior and address the causes of performance problems with workload-aware engineering.

01

Analyze Workloads

Understand query patterns, application demands and workload behavior before changing database design.

Workload analysis
Execution-plan analysis

02

Optimize Queries

Improve query execution and database access in the context of the application and its data model.

SQL performance tuning
Query optimization

03

Refine Design

Use indexing strategy and data modeling to support practical performance and maintainability goals.

Indexing strategy
Performance troubleshooting

Database Migration

Database Migration & Cloud Migration

Migration planning begins with data, application dependencies and service continuity—not just a target platform.

OptiSoftware helps assess database and schema dependencies, data movement, migration sequencing and target cloud architecture. Migration may be coordinated with application changes or performed selectively to support hybrid operation and manageable transition risk.

A database that remains fit for purpose may be optimized or integrated in place rather than moved simply because an application is modernizing.

Explore AWS database and cloud architecture

Migration planning

Application/data dependency analysis
Schema and data migration
Migration sequencing
Cloud database strategy
Availability and recovery planning
Integration and cutover needs

Reliability considerations

High availability
Backup and recovery
Disaster recovery
Replication
Security
Monitoring

Operational Architecture

High Availability, Reliability & Operations

A database architecture must account for how the system is recovered, secured, monitored and changed.

Availability and operational design should reflect business service requirements, failure modes, data protection needs and the team's ability to operate the platform.

Cloud recommendations connect AWS database and data services to workload architecture rather than treating a database move as an isolated infrastructure task.

Enterprise Data Experience

IBM Db2 Across Distributed & Mainframe Environments

Database modernization benefits from understanding the platforms and dependencies already in place.

OptiSoftware brings IBM Db2 experience across Db2 LUW and Db2 for z/OS, including the application and integration context around distributed and mainframe data. Modernization choices can include retaining and optimizing, API-enabling, integrating, selectively migrating or replatforming based on technical and business requirements.

Mainframe data does not need to move to AWS by default. Hybrid architecture or continued operation in place may be appropriate when it best serves the workload.