How do I know if my application has performance bottlenecks?

Common signs include slow page loading, delayed reports, lagging data grids, high server load, long API response times, database timeouts, and poor system responsiveness during peak usage.

Can you improve performance without rewriting the entire application?

Yes. In many cases, performance problems can be significantly improved through targeted optimization of databases, backend logic, frontend rendering, APIs, and infrastructure without requiring a full rewrite.

What systems do you usually optimize?

We typically work with:/n-Legacy business applications/n-.NET applications/n-Microsoft Access systems/n-SQL Server databases/n-Internal ERP and CRM systems/n-Enterprise web applications/n-Data-heavy frontend applications

Do you work with Microsoft Access applications?

Yes. Many companies continue using Access-based systems that become slow as the business grows. We often optimize these systems by improving queries, restructuring data access, or migrating the backend to SQL Server while preserving the existing Access interface

What are the most common causes of poor application performance?

Typical causes include:/n-inefficient SQL queries and stored procedures;/n-missing or incorrect indexing;/n-overloaded backend processing;/n-excessive API requests;/n-frontend rerendering issues;/n-lack of pagination or virtualization;/n-architectural limitations in legacy systems;/n-growing technical debt over time.

Can performance problems be caused by frontend issues?

Absolutely. Large grids, inefficient rendering, excessive API calls, and heavy client-side processing often create serious frontend performance bottlenecks even when backend systems are relatively healthy.

Can increasing server capacity solve performance problems?

Sometimes temporarily, but scaling infrastructure alone rarely fixes the root cause. Without optimization, performance issues often return as data volume and user activity continue to grow.

What happens after the performance review?

You receive a technical assessment with identified bottlenecks, optimization recommendations, architecture observations, and a prioritized implementation roadmap.

How long does a performance review usually take?

The timeline depends on system complexity, infrastructure size, and available access. Most reviews typically take from several days to a few weeks.

Do you provide implementation services after the review?

Yes. After completing the review, our team can also assist with implementing performance improvements, modernization initiatives, migrations, and architectural optimization.

Can you optimize SQL Server stored procedures and reports?

Yes. SQL Server optimization is one of the most common areas we work on, including stored procedures, indexing, execution plans, reporting queries, and large dataset processing.

Will users need to change how they work with the system?

In most cases, no. Our goal is usually to improve performance while preserving existing workflows and minimizing disruption for end users.

Is this package suitable before a legacy modernization project?

Yes. Performance reviews are often a valuable first step before modernization or migration initiatives because they help identify architectural limitations, technical debt, and high-risk areas early.

Service package

Performance review

Improve application performance without rewriting your system

At TYMIQ, we specialize in performance optimization for legacy and business-critical systems. We identify bottlenecks, analyze architecture limitations, and implement practical improvements without requiring a full rewrite of your application.
This package is designed for companies experiencing:

Slow SQL queries and reports
Frontend lag and unstable UI behavior
High server load and API delays
Microsoft Access scalability limitations
Poor performance with large datasets
Slow grids, tables, and dashboards
Increasing infrastructure costs
Performance degradation over time

The outcome

A complete performance assessment with identified bottlenecks, architecture and infrastructure observations, SQL/frontend/backend optimization recommendations, an implementation roadmap, and a follow-up consultation session.

Timeline and cost

Duration: Up to 2 calendar weeks
Start date: Within 2 weeks after formal agreement

€1500*

Request the package

* Choosing TYMIQ for your software project means the Performance Review will essentially be free for you: the full €1,500 cost will be credited as a discount toward the migration phase. This way, you gain valuable insights upfront with no additional cost once you move forward with us.

What you’ll gain

Comprehensive performance assessment

Full technical analysis of your application architecture, database, backend, frontend, and infrastructure performance.

Database and SQL optimization recommendations

Detailed findings on inefficient queries, stored procedures, indexing strategy, and database bottlenecks.

Frontend performance analysis

Identification of rendering issues, inefficient data loading patterns, excessive API calls, and grid performance limitations.

Backend scalability review

Analysis of server-side processing, API performance, workload distribution, and infrastructure pressure points.

Architecture and infrastructure observations

Technical insights into system limitations, scalability risks, and performance-impacting architectural decisions.

Performance bottleneck identification

Clear visibility into the root causes of slow application behavior across the entire system stack.

Implementation roadmap

Prioritized technical recommendations with practical next steps for improving performance and scalability.

Follow-up technical consultation

Dedicated review session with our team to discuss findings, recommendations, and optimization strategy.

Requirements from your side for the successful discovery phase

To perform an effective performance review, our team typically requires access to the technical environment, system architecture, and performance-related information.

Access to the application environment or staging system
Database access or database backups
Access to SQL Server execution plans and logs
Existing system architecture documentation (if available)
Information about current performance issues and business pain points
Sample datasets or reproduction scenarios
Access to frontend and backend source code repositories
API documentation or integration details
Infrastructure and hosting information
Availability of technical stakeholders for discovery sessions

If direct production access is restricted, we can also work with exported datasets, limited environments, or supervised access models.

TYMIQ performance optimization cases

SQL server performance optimization

A client contacted us because their internal business management system became increasingly slow as the amount of operational data grew. After technical analysis, we identified inefficient SQL Server stored procedures and poorly optimized queries as the main bottleneck. Our team optimized SQL logic, improved indexes, analyzed execution plans, and reworked parts of the database structure.

As a result, query execution times were significantly reduced, and the overall application responsiveness improved without requiring a full system rewrite.

Team size

Duration

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Microsoft Access scalability problems

One company had been using an internal Microsoft Access system for over 10 years. As the business expanded, the system became critically slow and unstable due to Access's architectural limitations. The client wanted to preserve the existing Access interface, so we migrated the backend to Microsoft SQL Server while keeping familiar workflows for users.

As a result, after optimization:

forms that previously opened in 45 seconds loaded in 2–3 seconds;
reports became dramatically faster;
search performance improved significantly;
multi-user stability issues disappeared.

The company received a scalable solution without rebuilding the entire application.

Team size

Duration

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Slow frontend and grid rendering

A client experienced significant frontend slowdowns due to large dynamic data grids with filtering, sorting, and real-time updates. The application suffered from excessive rerenders, oversized API responses, a lack of virtualization, and inefficient client-side processing. Our team optimized the frontend portion of the application and implemented:

lazy loading;
server-side pagination;
grid virtualization;
frontend rendering optimization;
API request reduction.

As a result, after implementing these changes, the interface’s performance improved significantly: page load times were reduced by several times, the interface became responsive even when handling large amounts of data, and the user experience became much smoother and more stable.

Team size

Duration

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Backend overload and high server load

In another project, nearly all filtering, calculations, and data preparation for the user interface were handled by backend services. As traffic increased, API response times grew longer, and scaling the infrastructure provided only temporary relief. Our team moved some of the processing logic to the frontend, optimized API request data, reduced the number of redundant requests, and implemented local data caching.

As a result, server load decreased significantly, response times improved, and scalability was enhanced without increasing infrastructure costs.

Team size

Duration

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Why this package works well for legacy systems

Performance degradation is one of the most common challenges in legacy business applications. Many systems that were originally stable and fast gradually become slower as the business grows, data volume increases, and new functionality is added over time.

In most cases, legacy applications were never designed to support:

large datasets and long-term data growth;
high numbers of concurrent users;
modern frontend interaction patterns;
real-time processing requirements;
complex reporting and analytics workloads

Our Performance Review Package is specifically designed to help companies identify these bottlenecks and improve existing systems before considering expensive full rewrites or migrations.This package works especially well alongside:

This package works especially well alongside:

Legacy modernization
.NET migration
MS access migration
SQL server optimization
Architecture refactoring

In many cases, targeted optimization and architectural improvements can significantly extend the lifespan of a legacy system while improving performance, scalability, and overall user experience.

FAQ