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Query Delta

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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
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Oracle version
Upgrade

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Production DB Parameter Changes

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U2L &
Cloud migration

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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
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All-in-One Single Platform

Covering collection, comparison, analysis, verification, performance optimization, and stabilization solely with Query Delta

Management
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Real-Time Visibility

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

Cost
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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”
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ORACLE
AS-IS
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Runtime SQL Collection

Error Inspection

Performance Shift Comparison & Analysis

Performance Optimization

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ORACLE
TO-BE
Query Delta Features (Core Capabilities)
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Automated Profile Migration

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

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Early SQL Execution Error Verification

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

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Iterative Performance Comparison & Validation

Iteratively comparing and validating SQL statements tuned during DB environment changes and transitions

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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
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Resource

Minimizing SQL validation & tuning staffing while shortening project duration

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Optimization

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

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Process

Rapidly analyzing objective performance shifts via systematic automated processes

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Result

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

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Prompt Question

In the new (TO-BE) environment

How will SQL performance change?

Will SQL execute without errors?

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