Oracle · MSSQL · MySQL · Cloud-Ready

Database Migration Services in India
Save 70-80% on Licensing Costs

Migrate Oracle to PostgreSQL, MSSQL to Azure SQL, or MySQL to managed cloud. Zero data loss. Minimal downtime. Full stored procedure conversion and application compatibility testing.

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Why Indian Enterprises Are Leaving Oracle

Oracle licensing has become the single largest line item in many IT budgets. Per-core pricing, mandatory annual support fees (22% of license cost), and aggressive audit practices make Oracle a financial burden that grows every year.

End-of-life database versions create security and compliance risks. Legacy MSSQL instances running on aging hardware limit scalability. Cloud-native architectures demand databases that scale elastically without license penalties.

PostgreSQL now matches Oracle in performance, reliability, and enterprise features. Azure SQL offers fully managed MSSQL with built-in HA. The migration window is open, and the cost savings are too significant to ignore.

70-80%
License Cost Savings
0
Data Loss Tolerance
<15 min
Typical Cutover Window
8
Step Migration Process

Our Migration Methodology

Schema Assessment

Deep analysis of tables, indexes, views, constraints, partitions, sequences, and user-defined types. We map every object to its target equivalent and flag incompatibilities early.

Code Conversion

Automated conversion using ora2pg and pgloader for straightforward objects. Manual rewrite for complex PL/SQL packages, Oracle-specific functions, CONNECT BY hierarchies, and advanced analytics.

Data Validation

Row-count verification, column checksum comparison, referential integrity checks, and stored procedure output validation. We prove data integrity before recommending cutover.

Supported Migration Paths

Oracle to PostgreSQL

Most popular migration path

  • Schema conversion (DDL, indexes, partitions)
  • PL/SQL to PL/pgSQL rewrite
  • Oracle sequences to PostgreSQL sequences
  • Synonyms, DB Links to FDW equivalents
  • Materialized view migration
  • Performance baseline and tuning

MSSQL to Azure SQL

Cloud-managed with built-in HA

  • Azure DMS online migration
  • SQL Managed Instance (full compatibility)
  • Azure SQL Database (PaaS)
  • T-SQL compatibility assessment
  • SSIS package migration to ADF
  • Always On to Azure HA failover groups

MySQL to Managed Cloud

RDS, Aurora, Azure MySQL, Cloud SQL

  • Replication-based zero-downtime migration
  • InnoDB optimisation for managed services
  • Parameter group and my.cnf tuning
  • Read replica configuration
  • Aurora MySQL cluster setup
  • Connection pooling (ProxySQL/RDS Proxy)

Oracle vs PostgreSQL — Cost Comparison

Typical cost breakdown for a 4-core enterprise deployment over 3 years

Cost Component Oracle Enterprise PostgreSQL (Cloud)
License Fee (4-core) High Free (Open Source)
Annual Support (22%) Mandatory Community / Optional Vendor
Infrastructure On-prem or Cloud VM RDS / Cloud VM
DBA Effort High (RAC, patching) Lower (managed options)
Audit Risk Significant None
3-Year TCO Savings Baseline 70-80% Lower

Post-Migration Performance Tuning

Query Optimisation

EXPLAIN ANALYZE on all critical queries. Index strategy redesign for PostgreSQL's query planner. Partitioning for large tables.

Memory & I/O Tuning

shared_buffers, work_mem, effective_cache_size calibration. WAL configuration for write-heavy workloads. Checkpoint tuning.

Connection Pooling

PgBouncer or Pgpool-II setup. Connection pool sizing based on application concurrency patterns. Session vs transaction pooling.

Monitoring Setup

pg_stat_statements for slow query tracking. Grafana dashboards for real-time metrics. Alert thresholds for connections, replication lag, and disk.

Application Compatibility Testing

What We Test

  • SQL syntax differences (Oracle vs PostgreSQL dialects)
  • ORM compatibility (Hibernate, SQLAlchemy, Entity Framework)
  • Connection string and driver updates (JDBC, ODBC, ADO.NET)
  • Date/time handling differences (NLS vs locale settings)
  • NULL handling behaviour differences
  • SEQUENCE and auto-increment migration
  • Character set and collation mapping
  • Transaction isolation level compatibility

Parallel Run Validation

  • Both databases serve production queries simultaneously
  • Response comparison for identical inputs
  • Performance benchmarking (latency, throughput, CPU)
  • Edge case testing with production-like data volumes
  • Stress testing under peak load conditions
  • Automated regression suite execution
  • Go/no-go checklist with clear criteria
  • Documented rollback procedure at every phase

Built-In Rollback Strategy

Source Preservation

Source database remains in read-write mode throughout migration. No destructive changes to the original system until cutover is confirmed successful.

Pre-Cutover Snapshots

Full database snapshots taken before every cutover attempt. Point-in-time recovery configured on both source and target for maximum safety.

Instant Revert

Application connection strings can revert to source database within minutes. DNS-based or load-balancer-based switching for zero-code rollback.

Our 8-Step Migration Process

1

Discovery & Assessment

Inventory all database objects, dependencies, and application touchpoints. Generate migration complexity report.

2

Target Architecture Design

Design target database topology — single instance, HA cluster, read replicas. Size compute and storage.

3

Schema Conversion

Convert DDL, indexes, constraints, and partitions. Map data types. Resolve incompatibilities.

4

Code Migration

Convert stored procedures, functions, triggers, and views. Rewrite Oracle-specific syntax to target dialect.

5

Data Migration

Bulk data transfer with validation. Incremental sync for ongoing changes. Checksums at every stage.

6

Application Testing

Full regression testing against target database. Fix SQL compatibility issues. Validate ORM and driver behaviour.

7

Parallel Run & Cutover

Both databases serve queries. Compare results. Execute cutover during maintenance window with rollback ready.

8

Hypercare & Optimisation

30-day post-migration support. Performance tuning. Query optimisation. Knowledge transfer to your DBA team.

Who Benefits from Database Migration

BFSI

Banks and insurers moving off Oracle to reduce licensing costs while meeting RBI data residency requirements.

Enterprise IT

Large enterprises consolidating from multiple database engines to a standardised PostgreSQL or Azure SQL estate.

E-Commerce

High-traffic platforms migrating to Aurora or Cloud SQL for auto-scaling and managed HA during sale events.

Healthcare

Healthcare providers migrating to cloud databases with encryption at rest and DPDPA-compliant data handling.

Why Choose Ogma for Database Migration

Production-Tested Methodology

Our 8-step migration process has been refined across Oracle, MSSQL, and MySQL migrations for Indian enterprises. Every step includes validation gates and rollback points.

Deep PL/SQL Expertise

We handle the hard parts — complex stored procedures, Oracle-specific functions, hierarchical queries, and advanced analytics that automated tools cannot convert.

Security-First Approach

As a cybersecurity company, we ensure migrated databases are hardened — encryption at rest, TLS in transit, row-level security, audit logging, and compliance-ready configurations.

30-Day Hypercare Support

Post-migration support includes performance tuning, query optimisation, incident response, and knowledge transfer. We stay until your team is fully confident on the new platform.

Frequently Asked Questions

Most enterprises save 70-80% on total database costs by eliminating Oracle license fees, annual support charges, and per-core pricing. PostgreSQL is open-source with zero license cost. The migration investment typically pays for itself within 6-12 months through reduced licensing alone, not counting operational savings from modern tooling and cloud elasticity.

Timeline depends on database size, complexity of stored procedures, and number of dependent applications. A straightforward schema migration with minimal PL/SQL can complete in 4-6 weeks. Complex environments with hundreds of stored procedures, triggers, and tight application coupling typically take 8-16 weeks including parallel validation runs.

We run comprehensive application compatibility testing before cutover. This includes SQL syntax validation, ORM compatibility checks, connection string updates, and full regression testing. We identify every breaking change during the assessment phase and fix them during migration. A parallel-run period ensures both databases serve identical results before cutover.

Yes. We convert Oracle PL/SQL packages, procedures, functions, and triggers to PostgreSQL PL/pgSQL equivalents. We use ora2pg for automated conversion of straightforward code and manually rewrite complex business logic that requires Oracle-specific features like CONNECT BY, MODEL clause, or advanced analytics functions.

We use Azure Database Migration Service (DMS) for online migrations that keep your source MSSQL database operational during the migration. The cutover window is typically under 15 minutes. For on-premises MSSQL to Azure SQL Managed Instance, we support both online and offline migration modes depending on your tolerance for downtime.

We run multi-level validation: row count verification across all tables, checksum comparison for critical columns, referential integrity checks, stored procedure output comparison (same inputs, same outputs), and application-level smoke tests. We provide a detailed validation report before recommending cutover.

Yes. We migrate MySQL to Amazon RDS for MySQL, Aurora MySQL, Azure Database for MySQL, or Google Cloud SQL. We handle replication setup, schema optimisation for managed services, parameter group tuning, and application connection string updates. Read replica configurations are preserved or upgraded.

Every migration includes a documented rollback plan. We maintain the source database in read-write mode during parallel validation. Database snapshots are taken before cutover. Application connection strings can revert to the original database within minutes. We define clear go/no-go criteria for each migration phase.

Ready to Cut Your Database Costs by 70-80%?

Get a free migration assessment. We analyse your current database estate, estimate savings, and deliver a detailed migration roadmap — no obligation.

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