- AWS
- Google Cloud
- Microsoft Azure
- Oracle
- Teradata
From the engine you have to the engine you want.
Heterogeneous migrations between different database engines are our core work. We also handle same-engine moves into and between clouds.
Oracle → PostgreSQL
Schema, PL/SQL and data moved off Oracle licensing, with disaster recovery designed for the new clusters.
SQL Server → PostgreSQL
T-SQL procedures, data types and jobs converted and tested against your application.
Oracle / SQL Server → MySQL & Aurora
For teams standardising on MySQL or on AWS-managed engines.
Teradata → Redshift / Snowflake
Warehouse schemas, loads and reporting queries re-platformed onto a cloud warehouse.
MongoDB ↔ DocumentDB
Compatibility checked, indexes rebuilt, and data moved in either direction.
Legacy systems → Oracle / PostgreSQL
FoxPro-era and file-based data profiled, cleaned and loaded into a modern relational database.
On-prem → AWS, Azure, Google Cloud
Same engine, new home: RDS, Aurora, Cloud SQL, AlloyDB, or self-managed in the cloud.
Cloud → cloud
PostgreSQL and MySQL workloads moved between AWS, Azure and Google Cloud.
Changing engines is the hard part. It's the part we specialise in.
A heterogeneous migration moves you from one database engine to a different one. Copying the data is the easy half. The code, the data types and the differences in behaviour are where projects stall.
Schema & data types
Tables, indexes, constraints and partitioning mapped to the target engine's own types, not just auto-converted.
Stored code
PL/SQL and T-SQL procedures, functions, triggers and packages rewritten for the target and reviewed line by line.
Application SQL
Queries, drivers and ORM settings in your application checked for engine-specific syntax and behaviour.
Data movement
Bulk load plus ongoing change replication where the engines allow it, so the cutover window stays short.
Validation
Row counts and checksums compared between source and target before anyone signs off.
Cutover & rollback
A rehearsed cutover runbook, with a tested way back if validation fails.
Migrate it. Automate it. Keep it running.
Most clients start with a migration, then have us automate the routine work and stay on for database services. You can take any of these on its own.
Heterogeneous & VLDB migration
Engine-to-engine migrations such as Oracle or SQL Server to PostgreSQL, sized for very large databases, with a scripted, validated cutover.
What's included →DBA-as-a-Service
A fractional senior DBA for your team — monitoring, backups, patching, and on-call support, at a fraction of a full-time hire.
What's included →Database automation
Provisioning, backups, patching, refreshes and health checks turned into scripts and pipelines, so routine work stops depending on someone remembering.
What's included →Performance & cost optimization
Query tuning, indexing strategy, and cloud right-sizing — before a migration, after one, or on its own.
What's included →Security & compliance audits
Access control review, encryption at rest, and PII-handling assessment, aligned with India's DPDP Act.
What's included →We only do databases.
Databases are our entire practice, not a side offering of a general IT firm.
Specialists, not generalists
Every engineer on an engagement works databases full-time, across engines.
Transparent engagements
Fixed-scope migrations and clear retainer tiers, agreed in writing before work starts.
Remote-first, India-delivered
We work with teams anywhere, with senior engineering hours priced from India.
On-prem, cloud, and VLDB scale
Your own data center or a managed cloud service, a few GB or a very large database — we're built to run it.
Led by a DBA who has been doing this since 2012.
Amit SinghFounder & Principal Database Architect, Hyderabad
Before starting Orvion, Amit spent his career as a database administrator, senior consultant and architect, including seven years in the database and cloud practice of a Big Four consulting firm, working on production systems for banks, insurers, asset managers and manufacturers in India and the US.
He has run PostgreSQL, Oracle, MongoDB, MySQL and Teradata on-premises and across AWS, Azure and Google Cloud.
Oracle to PostgreSQL, on-premises
Led the migration, including code review, reverse engineering and disaster-recovery design for the PostgreSQL clusters.
Amazon RDS, Aurora and Redshift
Ran and tuned multi-region Aurora clusters, deployed infrastructure with Terraform, and set up role-based access control.
Migrations into AWS, Azure and Google Cloud
Moved PostgreSQL, SQL Server and Teradata workloads into all three clouds, and planned PostgreSQL and MySQL moves between them.
Oracle RAC, Data Guard and MongoDB for core banking
Installed and upgraded Oracle RAC, built standby databases for disaster recovery, and set up MongoDB replica sets for internet banking.
FoxPro to Oracle, 300+ branches
Migrated more than 300 branch datasets onto Oracle 11g and wrote the backup and recovery policy.
Python, Terraform and RPA
Automated metadata backups and re-org jobs in Python, deployed AWS database infrastructure with Terraform, and built bots that route incidents and change requests.
Data masking and encryption
Implemented masking on MySQL, Oracle and Teradata, and encryption on MongoDB.
Experience from roles held before Orvion. Organisation names are withheld for confidentiality.
What changes when it's a team, not a hire.
A single in-house DBA is one person's bandwidth and one person's knowledge. A retainer gives you a team's worth of both.
Planning a migration, or need dependable database operations?
Start with a discovery call. We review your environment and give you a clear, written assessment, with no obligation.
Talk to us about your database.
Orvion
Tell us what you run today and what you need. We will reply by email with clear next steps.