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.
Trusted by 100+ organisations across 6 countries
Zero
Data Loss
<30min
Cutover
Oracle/SQL
Expertise
Multi-Cloud
Targets
What's Included
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.
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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
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. Customers moving SQL Server estates frequently pair this engagement with our broader Azure migration service programme for application-tier and networking work. 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. Once migrated, ongoing operational ownership (patching, backup verification, parameter tuning) is typically handed over to our AWS managed service provider programme so the new estate doesn't drift the way the legacy one did.
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. Post-cutover, query latency and IOPS telemetry are wired into our cloud monitoring and support services so regressions surface as alerts rather than as user-side tickets.
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%. Cutover-window contingency planning is co-developed with our cloud disaster recovery service so the rollback path is rehearsed, not theoretical, and ongoing licence-spend deltas feed into our cloud cost optimization services reporting. 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 What is data localization in India under RBI?.
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) |
Ready to get started?
What You Get
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
Heterogeneous Migration
₹8,00,000–₹15,00,000/database
Engine change, e.g. Oracle to Aurora PG
Enterprise Portfolio
₹25,00,000–₹75,00,000
10+ databases, volume pricing
Transparent pricing. No hidden fees. Scope-based quotes.
Questions about pricing? Let's discuss your specific requirements.
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.
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.
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.
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.
Database Migration Services India
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