Query Delta

Provides end-to-end capabilities to rapidly analyze and remediate pre/post-change performance shifts and execution errors across all SQL when undergoing Oracle DB version upgrades, environment modifications, or platform migrations.
Query Delta Use Cases

Oracle version
Upgrade

Production DB Parameter Changes

U2L &
Cloud migration

DB object
Changes, etc.
Proactively identifying and resolving potential SQL performance degradation risks prior to shifts in DB operational environments and platforms.
Query Delta Differentiators (Core Pillars)
Usability

All-in-One Single Platform
Covering collection, comparison, analysis, verification, performance optimization, and stabilization solely with Query Delta
Management

Real-Time Visibility
Real-time visibility into SQL performance changes and migration impact analysis results
Cost

Dramatic Cost Reduction
Shortening project duration and cutting costs substantially through process automation
SQL Performance Shift Impact Analysis Concept
“Automated SQL Error Checking & Performance Change Comparison”

ORACLE
AS-IS

Runtime SQL Collection
Error Inspection
Performance Shift Comparison & Analysis
Performance Optimization

ORACLE
TO-BE
Query Delta Features (Core Capabilities)

Automated Profile Migration
Automatically migrating verified AS-IS profiles when performance degrades due to Plan changes

Early SQL Execution Error Verification
Rapidly verifying whether all SQL statements execute normally without errors in the TO-BE DB environment

Iterative Performance Comparison & Validation
Iteratively comparing and validating SQL statements tuned during DB environment changes and transitions

Pre/Post-Change Performance Comparison & Verification
Securing high-reliability performance metrics by repeatedly verifying SQL execution performance using N Bind values
Query Delta Expected Benefits

Resource
Minimizing SQL validation & tuning staffing while shortening project duration

Optimization
Early validation & optimization of production SQL performance in TO-BE operational environments

Process
Rapidly analyzing objective performance shifts via systematic automated processes

Result
Proactively detecting and mitigating outages caused by gaps in full-scale SQL performance verification

Prompt Question
In the new (TO-BE) environment
How will SQL performance change?
Will SQL execute without errors?
