Stop Renewing Licenses You Resent
Commercial database licenses cost more every year. Moving to open source engines like PostgreSQL removes the fee entirely.
Migrate & Modernize
Cut Database Costs, Unlock the Data
Proprietary database licenses drain budget every year and lock you into an engine you have outgrown. We move you to managed, open source, and purpose built databases, prove the saving before you commit, and leave you a data layer ready for analytics and AI.
The Reality
What's Holding Your Database Back?
Database costs don't stop at the license. As data grows, so do infrastructure, maintenance and operational costs, and when you're locked into an engine you've outgrown, leaving feels even more expensive.
Paying too much for proprietary licenses
Annual licensing costs keep climbing even when the database no longer justifies the price.
Databases outgrew their purpose
What worked five years ago is now expensive, hard to scale, or simply more than you need.
Maintenance eats the budget
DBAs, upgrades, patching, tuning and infrastructure overhead add up year after year.
Afraid to migrate
Savings exist elsewhere, but dependencies, downtime risk and migration complexity make change feel dangerous.
The data is there but hard to use
Operational databases weren't designed to carry every reporting, analytics and AI workload you need today.
Nobody can size the saving
Without a conversion assessment, the case for moving stays a hunch that never reaches the board.
Key Benefits
Spend Less on the Database, Get More From the Data
Know the Saving Before You Commit
An assessment measures what converts automatically and what it saves, so the business case is proven up front.
The Right Database for Each Job
Not every workload belongs in a relational database. We move you to document, time series, search, or graph stores where they fit.
A Foundation Ready for Analytics and AI
A modern managed database feeds real time analytics and AI instead of blocking them.
Proof Points
See the Business Case Before You Migrate
30–70%Lower database and licensing cost
99%+Of schema objects convert automatically in a typical assessment
WeeksTo a costed conversion plan, not months
How It Works
How We Modernize Your Database
- 01
Map the current estate
We capture every table, procedure, and dependency, flagging what is encrypted, undocumented, or missing.
- 02
Test what converts on its own
Automated conversion analysis, with AI assist, separates the ninety plus percent that converts cleanly from the manual remainder.
- 03
Size the real effort
Every object needing manual work is counted and rated, so the project is scoped in person days, not guesswork.
- 04
Recommend the target and prove the saving
We propose the target engine, for example PostgreSQL in place of a licensed one, with a cost comparison beside it.
- 05
Migrate with no data loss
Change data capture keeps the source live during the move, so cutover happens with near zero downtime.
- 06
Leave it ready for what is next
The modern database is tuned, secured, and ready to feed analytics and AI.
What We Modernize
More Than a Like for Like Move
Managed and Open Source Engines
Move off licensed MSSQL and Oracle to managed PostgreSQL, MySQL, or Aurora.
Purpose Built Databases
Document, time series, search, key value, and graph stores matched to the workload.
Pipelines and Warehouse
Managed ETL, streaming, and warehouse where reporting needs it.
Procedures and Structure
Refactor heavy database procedures into scalable, maintainable constructs.
Technology and Tools
What We Build On
Works across the major clouds. AWS shown as our primary practice.
Managed Engines
RDS, Aurora, PostgreSQL, MySQL.
Purpose Built
DynamoDB, DocumentDB, OpenSearch, Timestream, Neptune.
Migration
DMS with change data capture, and Schema Conversion Tool with AI validation.
Ready for Analytics
Glue, Redshift, Athena, for when reporting comes next.
Case Studies
View All Case StudiesWhere Database Modernization Makes a Difference
NBFC and Lending
Licensed database cost rising with every branch. A conversion assessment proved the PostgreSQL saving and sized the effort before a rupee was spent.
Svatantra Microfin
On demandGrowth ready
Moved to managed databases with high availability and containers, ready for on demand growth with a stronger security posture.
Fintech
A manual data layer could not scale. Managed databases with high availability across zones removed the ceiling.
Cassbana
Multi-AZManaged RDS
Databases moved to managed RDS across zones and the data lakehouse rearchitected to Databricks, giving a clean, scalable data layer.
Enterprise with Mixed Workloads
One relational database forced to do every job. Purpose built stores cut cost and lifted performance.
Godrej Capital
80%Faster onboarding
Managed databases and modern analytics, with AI on Bedrock automating KYC and cutting onboarding time by 80 percent.
Regulated Business
No audit trail on data changes. A governed, managed database delivered lineage and compliance reporting.
What's Next
Where This Fits in Your Journey
One engagement is one stage. Here is what usually comes before and after, so the next step is always clear.
Application and Database Modernization
Clear the application and database debt that migration alone does not solve.
Explore Application and Database ModernizationDatabase Modernization
Cut licence and maintenance cost and get the data ready for analytics and AI.
Data Engineering
One governed copy of your data, ready for BI and AI.
Explore Data EngineeringAnalytics & Intelligence
Self-service BI and GenAI grounded in data you trust.
Explore Analytics & IntelligenceGet Started
See What Your Database Licenses Really Cost
Book a free assessment. We profile your databases, measure what converts, and hand back a costed plan with the saving proven up front.
- AWS Advanced Consulting Partner
- 200+ migrations
- 96.5% retention