How FinTech Plus Transitioned to Aurora 3 PostgreSQL to Eliminate Enterprise Licensing and Drive Scale

Overview

FinTech Plus, a mid-sized financial services organization, was relying on MS-SQL Server 2016 for its core database operations. Seeking to reduce licensing overhead and secure the scalability required for its growing financial platform, they migrated to Amazon Aurora 3 PostgreSQL. Partnering with Mydbops, they executed a migration strategy that addressed incompatibilities, minimized downtime during the transition, and completely stripped out legacy licensing expenses.
$120,000+
Annual ARR Savings
By adopting an on-demand cloud pricing model.
Zero
Operational Disruption
Utilized live data synchronization to ensure zero service downtime.
100%
Data Fidelity
Transitioned all records with absolute accuracy & no data loss.
Immediate
Speed Boost
Realized significantly faster database response times.
PostgreSQL
Consulting Services

About

In 2026, FinTech Plus operates as a rapidly growing digital payments platform in India, integrated directly with the Unified Payments Interface (UPI) ecosystem, which processes over 740 million daily transactions nationwide. Within this massive digital payment network, the company processes hundreds of thousands of merchant payments, peer-to-peer transfers, and instant ledger updates daily. To preserve consumer confidence and meet Indian financial regulatory standards, all transaction settlements must execute immediately, especially during peak consumer shopping windows.
★★★★★
Deployment Type
Database Stack
Outcome
Cloud-Based Deployment
Migration from Legacy MS-SQL to Amazon Aurora PostgreSQL
$120,000+ Annual Savings & Scalable Performance
Deployment Type
Cloud-Based Deployment
Database Stack
Migration from Legacy MS-SQL to Amazon Aurora PostgreSQL
Outcome
$120,000+ Annual Savings & Scalable Performance

Business Challenges

Overview
FinTech Plus was constrained by high proprietary licensing fees and performance bottlenecks on its legacy database. Scaling the platform required transitioning to a flexible cloud environment without disrupting daily transactions.

Escalating Software Overhead: Scaling legacy database systems meant committing to costly proprietary software licenses, eating into development budgets and driving up overhead.

Rigid System Limits: The platform faced performance constraints during high-traffic peaks, threatening transaction speeds and the overall user experience.

Code & Format Mismatches:Transitioning to a new database engine required resolving structural differences without breaking customer-facing applications.

Downtime Risk: As a real-time financial platform, any system outage during migration would directly impact user operations, revenue, and client trust.

Goals
The key objectives the client was aiming to achieve:

Lower ongoing operational overhead and eliminate software licensing fees.

Protect platform uptime and transaction continuity.

Achieve dynamic database scaling to support user growth.

Maintain complete data fidelity and rigorous security compliance.

Risks if Not Addressed
If left unresolved, these challenges posed serious risks

Risks & Impact if Not Addressed

Performance Issues

Without resolving replication lag and fragmented tables, query performance would continue to degrade, leading to a frustrating customer experience during peak hours.

Business Continuity Risks

Non-standardized backup policies increased the risk of data loss and prolonged outages, potentially disrupting thousands of orders in real-time.

Revenue Loss

Poor performance and downtime during peak times directly impacted Swiggy’s ability to fulfill customer demand, resulting in lost revenue and dissatisfied users.

Escalating Costs

Continued reliance on oversized, under-optimized infrastructure would lead to unnecessary monthly spend, straining the company’s profitability.

Developer Inefficiency

Lack of a stable and scalable database foundation meant developers spent significant time firefighting performance issues instead of innovating on features.

Performance Issues: Replication lag and fragmentation slow order searches and transactions.
Business Continuity Risks: Non-standardized backups mean longer recovery times and higher data-loss risk.
Revenue Loss: Slow page loads or timeouts during peak hours lead to failed checkouts.
Escalating Costs: Over provisioned, under-optimized servers strain profitability
Developer Inefficiency: Engineers spend more time firefighting than building new features
Goals
The key objectives the client was aiming to achieve:
→   
[Goal 1]
→   
[Goal 1]
→   
[Goal 1]

Solution Provided by Mydbops

Mydbops designed a structured transition strategy to migrate FinTech Plus safely to Amazon Aurora PostgreSQL. By resolving code compatibility and using live data synchronization, the team modernized the database with zero disruption to daily transactions.
Transition Planning:

Assessed application connections and database structures to guarantee a smooth, risk-free migration path.

The Migration Pipeline

MS-SQL Logo
Legacy Database
MS-SQL Server 2016
Continuous Sync
Amazon Aurora Logo
Cloud Native Engine
Amazon Aurora PostgreSQL
Database Format Alignment:

Safely converted existing database structures to match the cloud-native environment, resolving potential compatibility issues.

Live Data Synchronization:

Deployed continuous data sync tools to duplicate active financial data, keeping legacy and cloud systems in sync prior to the final cutover.

Application Integration:

Updated connecting applications and optimized configurations to ensure continuous platform availability.

Compliance & Security Deployment:

Configured strict cloud network access, identity protocols, and data encryption to align with industry regulatory requirements.

MS-SQL Logo
Legacy Setup
MS-SQL Server 2016
  • Licensing Overhead High fixed enterprise software licensing fees.
  • Scaling Constraints Hardware-bound scaling limits performance.
  • Cost Model Heavy upfront capital expenditure requirements.
Amazon Aurora Logo
Modern Setup
Amazon Aurora PostgreSQL
  • Zero License Fees Complete exit from database software license contracts.
  • Elastic Scaling Dynamic horizontal scaling to process transaction spikes.
  • Cost Model Efficient, on-demand operational cloud pricing.

Results and Impact

Key Outcomes
Direct ARR Savings

Saved over $120,000 annually by exiting legacy commercial licensing contracts, shifting entirely to on-demand cloud pricing.

Annual Software Licensing Costs

$120,000+
$0
MS-SQL Logo
Legacy MS-SQL Server
Amazon Aurora Logo
$0 Software License
Zero Customer Impact

Completed the final cutover during low-traffic hours with zero service disruption to active users.

Absolute Data Fidelity

Transferred all financial records securely with 100% data integrity and no record loss.

Reliable Performance Under Load

Upgraded the platform's ability to handle sudden transaction surges without performance degradation.

✅  Enhanced Audit-Ready Security: 

Bolstered data security using robust cloud security controls, protecting sensitive customer transactions.

Capability
Legacy MS-SQL Setup

Aurora PostgreSQL Setup
Cost Structure $120,000+ Annual Licensing On-Demand Cloud Pricing
Scaling Agility Rigid, hardware-bound processing Dynamic, horizontal cloud-native scaling
Service Continuity Outage risks during major peaks Automated multi-node replication
Security Controls Traditional local server configurations Native cloud networks & automatic encryption

For a growing financial platform, the database is the foundation of client trust. Every delayed query or licensing audit translates directly into operational friction and missed opportunities. Operating on a legacy database platform presented FinTech Plus with high licensing overhead and rigid scaling options that hindered their growth in a fast-paced market. The decision to migrate was logical, but executing it required careful planning to avoid service disruption. By collaborating with Mydbops, FinTech Plus systematically addressed these challenges. Engineers resolved database system mismatches and maintained an active data sync between the legacy and cloud environments.

When the time came to cut over, continuous replication enabled a smooth transition with minimal disruption to the platform's users. Today, FinTech Plus operates free from legacy licensing constraints, saving more than $120,000 annually by transitioning to Aurora's on-demand scaling and pricing model. Backed by a highly scalable database environment that is fully compliant with modern financial security standards, this transition has positioned them to focus on scaling operations and serving clients without being held back by their data layer.

A Partner You Can Trust

Mydbops brings specialized database engineering and migration expertise to help financial institutions navigate transitions away from legacy database systems. Our focus on systematic schema conversion, zero-downtime replication strategies, and cloud security compliance ensures your financial data layers remain secure and resilient as your transaction volumes grow.

Schedule a Database Migration Consultation

Need Expert Database Solutions?

Talk to a Database Expert Today!

Database solutions are provided by mydbops expert team
Mydbops set up High Availability (HA) Solutions with InnoDB or Percona Clusters, ensuring continuous uptime and fault tolerance.
Thank You!
We’ve got your request, our expert team will be contacting you shortly.
Oops! Something went wrong while submitting the form.
Download Case Study