Zero-Loss Schema + Data Migration

Database Migration Services India

Migrate databases with zero data loss. Opsio's database migration services handle Oracle, SQL Server, MySQL, and PostgreSQL migrations to cloud-native databases — with continuous replication, zero-downtime cutover, and comprehensive data-validation for Indian enterprises.

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Trusted by 100+ organisations across 6 countries

Zero

Data Loss

<30min

Cutover

Oracle/SQL

Expertise

Multi-Cloud

Targets

AWS DMS

Azure DMS

GCP DMS

Oracle

SQL Server

PostgreSQL

Part of Cloud Solutions

What is Database Migration Services India?

Database migration services provide end-to-end movement of relational, NoSQL, and data warehouse workloads from on-premises or legacy systems to cloud-native managed databases, covering schema conversion, continuous data replication, validation, and cutover orchestration. Standard scope typically includes source and target environment assessment, schema and code conversion using tools such as AWS Schema Conversion Tool or SQL Server Migration Assistant, continuous replication via change data capture to minimise downtime, row-count and checksum-based data validation, rollback planning, and post-migration performance tuning. Leading platforms that underpin these engagements are AWS DMS, Azure Database Migration Service, Google Cloud Database Migration Service, and OCI Database Migration, each supporting homogeneous migrations such as MySQL to Cloud SQL and heterogeneous migrations such as Oracle to Aurora PostgreSQL or SQL Server to Azure SQL Managed Instance. MongoDB Atlas Live Migration and native dump-and-restore pipelines are also standard for document-store workloads. Pricing for AWS DMS is consumption-based, charged per replication instance hour and data-transfer gigabyte, with costs varying by instance class; Azure DMS offers a Standard tier for offline migrations at no additional charge beyond compute, while premium tiers with online continuous sync carry per-vCore hourly rates. For Indian enterprises, alignment with the Digital Personal Data Protection Act 2023 influences where replication endpoints are provisioned and how PII is masked during transit. Opsio, holding AWS Advanced Tier Services Partner status with AWS Migration Competency, Microsoft Partner, and Google Cloud Partner credentials, delivers database migration services from its ISO 27001-certified Bangalore delivery centre with 24/7 NOC coverage, a 99.9% uptime SLA, and sub-30-minute cutover windows for mid-market organisations.

Database Migration Is a PL/SQL Problem, Not a Data Problem

Database migration services in India earn their fee in two specific places: PL/SQL-to-PL/pgSQL conversion, and the cutover runbook. Moving rows is the easy part — AWS DMS, Azure DMS, and GCP Database Migration Service all do continuous replication out of the box. The hard part is the 800 stored procedures your finance team wrote against Oracle 11g in 2014, the 30 triggers no one has touched in a decade, the materialized views that nightly batches depend on, and the analyst code that hard-codes Oracle's `SYSDATE` syntax. Opsio's database migration practice spends 70% of every Oracle-to-PostgreSQL engagement on schema and code conversion, not data movement, because that's where the budget actually goes. Opsio's database migration services address this complexity head-on. We support homogeneous migrations (Oracle to Oracle on RDS, SQL Server to SQL Server on Azure) and heterogeneous migrations (Oracle to Aurora PostgreSQL, SQL Server to Azure SQL, MySQL to Cloud SQL) — using AWS DMS, Azure DMS, and GCP Database Migration Service with continuous replication that ensures zero data loss.

Every migration includes comprehensive schema analysis, stored-procedure conversion where needed, performance baseline comparison, and automated data-validation that verifies row counts, checksums, and query-result equivalence before cutover — ensuring Indian enterprises can trust their migrated databases from day one.

Oracle-to-PostgreSQL migration is the most-asked database migration question in India, driven by Oracle's licensing economics post-Enterprise Edition pricing changes. The honest answer: AWS Schema Conversion Tool (SCT) and Ora2Pg automate roughly 60-80% of the schema conversion (tables, indexes, sequences, basic views), but PL/SQL packages with `RAISE_APPLICATION_ERROR`, autonomous transactions, dynamic SQL via `EXECUTE IMMEDIATE`, and Oracle-specific functions like `DECODE`, `NVL`, and hierarchical `CONNECT BY` queries need manual rewriting in PL/pgSQL. Opsio's typical Oracle→Aurora PostgreSQL engagement runs 12-20 weeks for a database under 10TB, with the schema-conversion phase consuming 60% of the timeline and the data-replication phase about 20%. Featured reading from our knowledge base: Database Migration: A Complete Pillar Guide to Secure and Scalable Data Transformation, Data Analytics in Cloud Migration for Manufacturing, and AWS Data Migration Service: Simplify Your Migration Process – Opsio. Related Opsio services: Cloud Migration Services in India — AWS MAP & Zero Downtime, AWS Migration Services in India — AWS MAP & 2-Hour Cutover, Refactor & Modernisation Services India, and Azure Migration Services in India — Entra ID & 2-Hour Cutover.

Schema Assessment & ConversionZero-Loss Schema + Data Migration

Continuous Data ReplicationZero-Loss Schema + Data Migration

Oracle MigrationZero-Loss Schema + Data Migration

SQL Server MigrationZero-Loss Schema + Data Migration

Data Validation & TestingZero-Loss Schema + Data Migration

Post-Migration Database OptimisationZero-Loss Schema + Data Migration

AWS DMSZero-Loss Schema + Data Migration

Azure DMSZero-Loss Schema + Data Migration

GCP DMSZero-Loss Schema + Data Migration

Schema Assessment & ConversionZero-Loss Schema + Data Migration

Continuous Data ReplicationZero-Loss Schema + Data Migration

Oracle MigrationZero-Loss Schema + Data Migration

SQL Server MigrationZero-Loss Schema + Data Migration

Data Validation & TestingZero-Loss Schema + Data Migration

Post-Migration Database OptimisationZero-Loss Schema + Data Migration

AWS DMSZero-Loss Schema + Data Migration

Azure DMSZero-Loss Schema + Data Migration

GCP DMSZero-Loss Schema + Data Migration

How Opsio Compares

Capability	DIY Migration	System Integrator	Opsio
Discovery & assessment	Manual spreadsheets	Consultant-led, weeks	Automated tooling + expert review in days
Migration methodology	Ad-hoc, undocumented	Waterfall-based, rigid	Wave-based with AWS DMS / Azure DMS / Ora2Pg + per-object effort scoring
Cutover downtime	Hours to days	4-8 hours typical	Sub-2-hour cutover windows
Data-residency compliance	Self-managed, risky	Generic controls	DPDPA-aligned, Mumbai/Hyderabad enforced
Post-migration optimisation	None — lift and shift	Basic right-sizing	Continuous FinOps + quarterly reviews
IST-aligned support	Internal team only	Follow-the-sun, limited IST	24/7 IST-based NOC + dedicated account manager
Typical cost (100 servers)	Hidden costs ₹80L+	₹1.2-1.8Cr (+ change orders)	₹60L-1.2Cr (fixed-scope, MAP credits)

Service Deliverables

Schema Assessment & Conversion

AWS Schema Conversion Tool (SCT), Azure Data Migration Assistant (DMA), and Ora2Pg generate the first-pass conversion report — typically flagging 15-30% of objects as requiring manual review. We then layer in dependency analysis (hidden cross-schema references, app-tier hardcoded SQL) that the auto-tools miss, producing a per-object effort estimate in story points before any code is written.

Continuous Data Replication

AWS DMS, Azure DMS, and GCP Datastream for continuous replication enabling sub-30-minute cutover windows. Change data capture ensures zero data loss throughout the migration process.

Oracle Migration

Oracle to Amazon Aurora PostgreSQL, Oracle to Azure Database for PostgreSQL, and Oracle to Cloud SQL migrations. PL/SQL conversion, partition strategy redesign, and performance tuning for cloud-native targets.

SQL Server Migration

SQL Server to Azure SQL Database, Azure SQL Managed Instance, Amazon RDS for SQL Server, and PostgreSQL migrations. T-SQL conversion, SSIS package migration, and linked-server reconfiguration.

Data Validation & Testing

Automated validation comparing row counts, checksums, and query results between source and target databases. Performance benchmarking against production baselines before cutover approval.

Post-Migration Database Optimisation

Index strategy review, query optimisation, connection pooling configuration, and cloud-native feature enablement (Aurora Global Database, Azure SQL auto-tuning, Cloud SQL read replicas) for Indian workloads.

Ready to get started?

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What You Get

Database portfolio assessment with complexity scoring

Schema conversion report with compatibility analysis

Continuous data replication configuration and monitoring

Automated data-validation report with row counts and checksums

Performance benchmark comparison between source and target

Sub-30-minute cutover execution with rollback procedures

Post-migration optimisation report with indexing recommendations

Operational handover documentation with monitoring and backup configuration

“Our AWS migration has been a journey that started many years ago, resulting in the consolidation of all our products and services in the cloud. Opsio, our AWS Migration Partner, has been instrumental in helping us assess, mobilize, and migrate to the platform, and we're incredibly grateful for their support at every step.”

Roxana Diaconescu

CTO, SilverRail Technologies

Pricing & Investment Tiers

Transparent pricing. No hidden fees. Scope-based quotes.

Homogeneous Migration

₹3,00,000–₹8,00,000/database

Same engine, e.g. Oracle to Oracle RDS

Why Choose Opsio for Cloud Services

Oracle migration specialists

Deep PL/SQL conversion expertise for Indian enterprises moving from Oracle to open-source databases.

Zero-data-loss guarantee

Continuous replication with automated validation ensures not a single row is lost.

Sub-30-minute cutovers

Minimal downtime through CDC replication — critical for Indian BFSI and e-commerce systems.

Multi-cloud database targets

We migrate to Aurora, Azure SQL, Cloud SQL, and managed PostgreSQL across all three clouds.

Performance validated

Every migration benchmarked against production baselines before cutover approval.

INR fixed-price

Per-database pricing in Indian Rupees with no time-and-material surprises.

Not sure yet? Start with a pilot.

Begin with a focused 2-week assessment. See real results before committing to a full engagement. If you proceed, the pilot cost is credited toward your project.

Start a Pilot

Our 4-Phase Delivery Process

Assessment

Schema analysis, dependency mapping, and conversion complexity scoring for each database.

Schema Conversion

Automated and manual schema conversion, stored-procedure rewriting, and target database provisioning.

Replication & Validation

Continuous data replication, automated validation, and performance benchmarking.

Cutover & Optimisation

Sub-30-minute cutover, post-migration optimisation, and operational handover.

Key Takeaways

Schema Assessment & Conversion
Continuous Data Replication
Oracle Migration
SQL Server Migration
Data Validation & Testing

Industries Served by Opsio

BFSI

Database migration for core banking systems, payment processing, and regulatory reporting databases.

IT/BPO

Large-scale database migration for Indian IT companies consolidating client database estates.

Pharma

Regulated database migration for clinical-trial data, pharmacovigilance, and supply-chain systems.

Government & PSU

Database migration for citizen-services platforms and PSU enterprise resource planning systems.

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Database Migration Services India — FAQ

What types of database migration do you support?

Two categories: homogeneous (same engine, e.g. Oracle on-prem to Oracle on RDS, or SQL Server to RDS for SQL Server) and heterogeneous (engine change, e.g. Oracle → Aurora PostgreSQL, SQL Server → Azure SQL, MySQL → Cloud SQL). We cover Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, and DynamoDB across AWS, Azure, and GCP. Heterogeneous engagements always include schema-conversion effort estimates upfront — that's where 60-70% of the budget actually goes, and quoting it later is where most database migration projects fail.

How much does database migration cost in India?

Per-database pricing typically runs ₹3,00,000-₹8,00,000 for homogeneous migrations (Oracle→Oracle on RDS, SQL Server→RDS for SQL Server) and ₹8,00,000-₹15,00,000 for heterogeneous migrations (Oracle→Aurora PostgreSQL, SQL Server→Azure SQL). The driver is stored-procedure conversion lines: a database with 50 simple PL/SQL procedures sits in the lower band; one with 800 procedures plus autonomous transactions and Oracle Spatial dependencies sits at the top. Volume pricing kicks in at 10+ databases. GST-compliant invoicing throughout.

Will there be downtime during database migration?

Sub-30 minutes for the production cutover, when scheduled correctly. Continuous data replication via AWS DMS, Azure DMS, or GCP Datastream keeps source and target in lockstep through change data capture (CDC) — by cutover time, the target lag is usually under 5 seconds. The cutover window itself is: stop writes to source, drain in-flight transactions, validate final row counts/checksums, switch the application connection string, smoke-test the top 10 queries, and unblock writes. We schedule cutovers during off-peak IST windows (typically 02:00-04:00 IST) and keep the source database read-only available for 48 hours as the rollback path.

How do you validate migrated data?

Three layers. Layer 1: row counts per table on source vs target, every hour during replication and at cutover. Layer 2: page-level checksums (e.g. AWS DMS validation, custom pg_dump-checksum scripts for PostgreSQL targets) catching corruption that row counts miss. Layer 3: business-query parity — we run the application's top 50 reporting queries against source and target and diff the result sets, including aggregates that depend on Oracle-specific NULL semantics or implicit type coercion. The validation report is signed off by your DBA before cutover, archived for audit.

Can you migrate Oracle stored procedures to PostgreSQL?

Yes — and this is where most database migrations succeed or fail. AWS SCT and Ora2Pg auto-convert maybe 60-80% of typical PL/SQL: simple procedures, basic cursors, standard exception handling. The remaining 20-40% needs manual rewriting: autonomous transactions (`PRAGMA AUTONOMOUS_TRANSACTION` has no PostgreSQL equivalent — we use dblink or background workers), `BULK COLLECT` patterns, hierarchical queries (`CONNECT BY` becomes recursive CTE), and dynamic SQL with bind variables. Each rewritten procedure is unit-tested against captured production inputs, with behavioural deltas documented for your DBA team — common ones include date-arithmetic differences and `NULL` handling in string concatenation.

Can Opsio migrate Oracle databases to open-source alternatives for Indian enterprises?

Yes, Oracle-to-PostgreSQL and Oracle-to-MySQL migrations are common engagements. Opsio uses AWS SCT, Azure Database Migration Service, and custom tooling to convert schemas, stored procedures, and application queries. We provide comprehensive testing frameworks that validate data integrity and application compatibility before cutover, reducing Oracle licensing costs significantly for Indian enterprises.

How do you handle database migration for Indian BFSI organisations with RBI requirements?

BFSI database migrations require enhanced controls: zero-data-loss guarantees, comprehensive audit trails, encryption at rest and in transit, and rollback capability at every stage. Opsio’s BFSI migration framework addresses RBI technology risk management guidelines, data localisation requirements, and the operational resilience mandates specific to Indian financial institutions.

What is the typical downtime during database migration for Indian enterprises?

Opsio uses continuous replication — AWS DMS, Azure DMS, or Google DMS — to maintain real-time synchronisation between source and target databases. Final cutover typically requires 15-60 minutes depending on database size and transaction volume. We schedule cutovers during low-traffic IST windows and maintain instant rollback capability throughout the process.

Can you migrate NoSQL databases like MongoDB or Cassandra for Indian workloads?

Yes, Opsio migrates NoSQL databases including MongoDB to DocumentDB or Atlas, Cassandra to Amazon Keyspaces or DataStax, and DynamoDB migrations across regions. We handle schema mapping, data transformation, and application-level testing to ensure functional equivalence — with all target databases configured in Indian cloud regions for DPDPA compliance.

How does Opsio ensure data integrity during database migration for Indian enterprises?

Our validation framework performs multi-layer verification: row counts, checksum comparisons, referential integrity checks, and application-level functional testing. We run parallel environments during the validation window, comparing query results between source and target databases. Only after comprehensive validation — documented and signed off by your Indian DBA team — do we execute production cutover.

Still have questions? Our team is ready to help.

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Editorial standards: Written by certified cloud practitioners. Peer-reviewed by our engineering team. Updated quarterly.

Published: Mar 2025|Updated: May 2025|About Opsio

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Opsio BangaloreKarnataka, India

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Send DDL + a PL/SQL Sample — We'll Score the Conversion Effort

Send your database DDL export and 5-10 representative PL/SQL or T-SQL stored procedures (text files are fine, no live access required). We return a conversion-effort matrix scored in story points, the auto-vs-manual split per object, and an INR fixed-price quote with timeline. 7 working days, no NDA on the matrix itself.

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Database Migration Services India

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