Kansoft
DATABASE MIGRATION ACCELERATOR

Migrate Your Database.
Without Downtime Drama.

Kanetic-x is Kansoft's AI-driven framework for migrating on-premise SQL Server, Oracle, or DB2 databases to modern managed cloud databases — Azure SQL, PostgreSQL, AWS Aurora — with automated schema conversion, stored procedure translation, and continuous CDC reconciliation.

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Kanetic-x · Live
01

Schema Profiled

2.1TB Oracle · 487 tables · 234 stored procs

02

Target: PostgreSQL on Aurora

Index strategy + partition plan ready

03

PL/SQL → PostgreSQL Conversion

91% auto-translated · CDC streaming live

04

Row-Level Reconciliation

2.1B rows verified · cutover window queued

60%
License Cost Savings
90%
Auto-Converted Stored Procs
<5min
Cutover Downtime
100%
Row-Level Reconciliation
The Database Lock-In Tax
Why On-Prem Databases Are Costing You

Oracle, SQL Server Enterprise, and DB2 lock you into expensive licenses, hardware refresh cycles, and DBA staffing models that no longer fit how modern teams build software. Kanetic-x exits the lock-in without breaking what works.

Six-Figure Licensing

Oracle Enterprise Edition and SQL Server Enterprise carry per-core pricing that scales linearly with your data growth. Modern managed Postgres or Aurora typically delivers the same workload at 30–60% of the cost.

Hardware Refresh Cycles

On-prem means SAN refresh every 3–5 years, capacity planning by spreadsheet, and budget surprises when growth outpaces hardware. Cloud-managed databases scale on demand — no procurement cycle.

Disaster Recovery Cost

Building a geographically separate DR site for on-prem databases is a project in itself. Cloud-managed DBs ship with multi-region replication, point-in-time restore, and automatic failover by default.

Performance Ceilings

Vertical scaling has limits. Read replicas are bolted on. Sharding requires custom application logic. Aurora and managed Postgres handle horizontal scale natively — adding read replicas in seconds.

Compliance Complexity

Patching, backup verification, encryption key rotation, audit logging — all manual on-prem. Managed cloud DBs deliver SOC 2, ISO 27001, HIPAA-ready environments by default.

Vendor Lock-In

Oracle's pricing leverage, IBM's licensing model, Microsoft's audit posture — they exist because switching is hard. Kanetic-x makes the switch tractable, with proven CDC-based migration paths.

Side by Side
Traditional Approach vs. Kanetic-x

Database migration is famously where projects die. Schema mismatches, stored procedure incompatibility, data drift during long migration windows, and reconciliation nightmares. Kanetic-x treats reconciliation as a continuous, automated activity — not a manual UAT phase.

Dimension
Traditional Migration
Kanetic-x
Schema Conversion
Manual mapping, weeks per schema Slow
Automated AWS SCT / Azure DMA + AI refinement Fast
Stored Procedures
Hand-rewritten in target dialect
Pattern-based PL/SQL → pgPL/SQL or T-SQL conversion
Data Migration
One-shot dump + restore Long Downtime
CDC streaming with continuous replication <5min Cutover
Reconciliation
Sample-based UAT spot checks Risky
Row-level checksum verification of every row 100% Verified
Application Compatibility
Find broken queries in production Pain
Static analysis of ORM + raw SQL queries before cutover
Performance Tuning
Re-tune indexes after migration
Workload-aware index recommendations from query log analysis
Rollback Plan
Restore from backup Hours
Reverse-CDC keeps source live for instant rollback Seconds
Timeline
9–18 months Slow
3–6 months 60% Faster
The Kanetic-x Engine
Four Phases. Database-Native.

Each phase is informed by SQL-specific patterns — sequence vs identity, dialect-specific functions, transactional isolation levels, partitioning strategies. Not generic schema diff tools.

1

Discover

Profile the source database — schema, stored procs, query patterns, dependencies.

Schema + index inventory
Stored proc + trigger + view audit
Query log workload profiling
Application SQL dependency map
2

Design

Recommend target managed DB, partitioning strategy, index plan, and CDC replication topology.

Target DB selection (Aurora vs Azure SQL)
Partitioning + sharding plan
CDC replication architecture
Performance + cost model
3

Transform

Convert schema, stored procedures, triggers, and views. Stand up CDC streaming. Run dual-write for the application layer.

Schema + DDL conversion
PL/SQL → pgPL/SQL or T-SQL
CDC streaming setup (DMS / Debezium)
Application connection layer rewrite
4

Validate

Continuous row-level reconciliation. Performance benchmarks vs source. Cutover window of minutes, not hours.

Row-level checksum reconciliation
Workload performance benchmarks
Failover + rollback drills
<5-minute cutover execution
Migration Paths
Every Database. One Framework.

Kanetic-x covers the most common cloud-managed targets across the major source databases.

Most Cost Savings

Oracle → PostgreSQL

The biggest license-cost saver. PL/SQL converts to pgPL/SQL with high fidelity. Sequences, packages, and partitioning all map cleanly. AWS Aurora PostgreSQL or Azure Database for PostgreSQL as common targets.

OraclePostgreSQLAurora

SQL Server → Azure SQL Managed Instance

The smoothest migration — near-100% T-SQL compatibility, same query optimiser, same tooling. Drop the on-prem SQL Server license, gain managed services and elastic scaling.

SQL ServerAzure SQLManaged Instance

Oracle → Azure SQL

For Microsoft-aligned organisations. PL/SQL → T-SQL conversion with AI-assisted refinement. Full Azure integration with Active Directory auth and Azure Monitor.

OracleAzure SQLT-SQL

SQL Server → AWS Aurora PostgreSQL

For teams committed to AWS and PostgreSQL ecosystem. T-SQL → pgPL/SQL conversion with Babelfish for backward compatibility on hot paths.

SQL ServerAuroraBabelfish

DB2 → PostgreSQL

Often paired with mainframe modernization (see Kanetic-x for COBOL/Mainframe). Schema and stored proc translation with row-level reconciliation against the source DB2.

DB2PostgreSQLMainframe

On-Prem → Cloud-Managed (any combination)

Custom paths — DB2 to Azure SQL, MySQL to Aurora, PostgreSQL on-prem to Aurora. The framework adapts; the methodology stays the same.

Custom PathMulti-CloudAny Source
See the Difference
From On-Prem SSMS to Cloud-Managed Database

A real-world example: a SQL Server stored procedure on-prem with manual deployments and no automated DR, transformed into a managed Aurora PostgreSQL deployment with point-in-time restore and elastic scaling.

Before — SQL Server Management Studio
SQL Server Management Studio — connected to PROD-DB-01\SQLSERVER2014
qry_sales_summary.sqlOrderProcessing.sql
PROD-DB-01\SQLSERVER2014 (sa) | master | 00:00:03 | 1,247 rows
CREATE PROCEDURE sp_GetSalesSummary @StartDate DATETIME, @EndDate DATETIME AS BEGIN SET NOCOUNT ON; SELECT ProductID, SUM(Quantity) AS TotalQty, SUM(LineTotal) AS Revenue FROM Sales.OrderDetails od INNER JOIN Sales.Orders o ON od.OrderID = o.OrderID WHERE o.OrderDate BETWEEN @StartDate AND @EndDate GROUP BY ProductID ORDER BY Revenue DESC; END
Messages
(1,247 rows affected) | 00:00:03

On-Prem Era Limitations

SQL Server Enterprise license — six-figure annual fee
Manual deploys via SSMS scripts — no version control
DR site requires separate hardware + license
Hardware refresh every 3–5 years — capacity surprises
Single-region — failover takes hours
Patches require maintenance windows + DBA on-call
Kanetic-x
After — Aurora PostgreSQL (Managed)
Aurora Cluster · acme-prod
Databases › acme-prod › Cluster Health

Aurora PostgreSQL · acme-prod

Healthy
Aurora PostgreSQL 15.4
us-east-1 · 3 AZs
2.1 TB
142 / 5,000
CPU18%
Replica Lag12ms
Backup35 days PITR
Multi-AZ Failover<30s

Cloud-Managed by Default

No SQL Server license — Aurora pricing scales with usage
Multi-AZ replication — <30-second failover, automatic
Point-in-time restore — recover to any second, 35 days
Auto-scaling read replicas — add 5 in seconds
Schema migrations via Liquibase / Flyway in CI/CD
Patching managed by AWS — no maintenance windows
Proven Outcomes
Metrics That Matter

Indicative results from database migrations delivered through Kanetic-x.

60%
License Cost Savings
Replacing Oracle Enterprise Edition with managed Postgres typically delivers 30–60% TCO reduction over 3 years.
90%
Auto-Converted Stored Procs
AI handles 90% of PL/SQL → pgPL/SQL or T-SQL → pgPL/SQL conversion. Human reviewers focus on dialect edge cases.
<5min
Cutover Downtime
CDC keeps source and target in sync until the moment of cutover. Application points at the new DB; downtime is the time it takes for connections to flush.
100%
Row-Level Reconciliation
Every row checksum-verified before cutover. Compliance and audit teams get a one-page reconciliation report.
3×
Faster Failover
Managed cloud databases ship with automatic multi-AZ failover. Replaces hand-built standby DR setups.
Day 1
Compliance-Ready
Azure SQL and AWS Aurora deliver SOC 2, ISO 27001, HIPAA, and GDPR-aligned configurations by default.
Ready to Lift Your Database?

Get Your Free
Database Migration Assessment

Share your source database (or just a schema dump and a sample query log). Kanetic-x will produce a target database recommendation, license-cost comparison, conversion compatibility report, and zero-downtime migration plan within 5 business days.

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