Performance Optimization

Data Platform Performance Enhancement

Optimized a large-scale data platform experiencing performance and reliability challenges, delivering faster processing, efficient API operations, and stronger transaction handling.

Challenge

A large-scale data platform was experiencing performance and reliability challenges. The system needed faster processing of complex queries, a more efficient API layer, and stronger transaction handling to meet growing business demands and support critical business operations and analytics.

Solution

We implemented comprehensive optimizations including database query optimization for graph processing, API migration from SQL to C for critical operations, and Java database driver enhancements focused on improving transaction processing for more reliable handling of transactional workloads.

Results

Significant

reduction in query execution time

Enhanced

performance for critical operations

Improved

reliability of transactional workloads

Key Features

🔍

Database Query Optimization

Optimized queries used in graph processing to improve execution efficiency and reduce runtime.

⚡

API Migration

Migrated part of the API layer from SQL to C, enabling more efficient execution of critical operations.

🔧

Database Driver Enhancements

Worked on the Java database driver with a focus on improving transaction processing.

Tech Stack

core

Java

Oracle Database

JDBC

SQL

optimization

Query Optimization

C Programming

API Design

focus

Transaction Processing

Graph Processing

Performance Tuning

Need performance optimization?

This project showcases our expertise in optimizing large-scale data platforms and improving system performance. We can help you identify bottlenecks and implement solutions that deliver measurable improvements in speed, reliability, and scalability.