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Database & Application Modernization Cut Licensing Costs and Improved System Performance for Tax Compliance MSP 

0 %

Migration from MSSQL to PostgreSQL with Zero Downtime and Live Data Sync

0 %

Reduction in Database Licensing and Support Costs

0 x

Faster Performance in Stored Procedure Execution with Optimized PL/pgSQL Refactoring

Zero

Application Downtime During Cutover Due to Real-Time Replication and Parallel Testing

Company Overview

Tax Compliance MSP is a specialized technology platform delivering digital tax services to businesses and service providers across India. The platform enables seamless connectivity with the Goods and Services Tax Network (GSTN), offering solutions for return filing, validation, reconciliation, and bulk data processing.

Story Snapshot

With the rising cost of MSSQL licensing and increasing pressure to scale its application backend, Tax Compliance MSP engaged Cygnet.One to modernize its core database and application infrastructure. By refactoring legacy services and migrating to open-source PostgreSQL with real-time data replication, the organization gained performance, cost savings, and architectural flexibility, all without business disruption.

Industry: Financial Technology | Tax SaaS

Use Case: Application & Database Modernization for Cost and Performance Gains

At a Glance

Facing high MSSQL overhead and technical debt from legacy architecture, Tax Compliance MSP successfully transitioned to a modern cloud-native stack centered around PostgreSQL and containerized services. The initiative ensured seamless migration of both data and logic, while preparing the platform for scalable, cost-effective growth.

Solutions Implemented

Outcomes Achieved

Migrated 12+ production MSSQL databases to self-hosted PostgreSQL on EC2 using AWS DMS + pgloader

Achieved 100% Database Cutover with real-time sync and zero end-user disruption

Replaced MSSQL licensing and enterprise support with open-source PostgreSQL stack

Delivered 30% Cost Savings in database operations and support contracts

Refactored 200+ stored procedures using PL/pgSQL for optimized execution paths

Resulted in 5x Faster Execution of heavy reporting and reconciliation queries

Implemented pgbouncer for connection pooling and high-concurrency optimization

Improved DB throughput and reduced latency under peak loads

Enabled cross-database querying via postgres_fdw and dblink extensions

Preserved reporting flexibility while reducing application code changes

Performed schema mapping using AWS Schema Conversion Tool (SCT) with manual tuning

Ensured Business Logic Fidelity and migration accuracy

Used AWS DMS with CDC (change data capture) for near-zero-downtime production migration

Maintained Service Continuity across UAT and Production waves

Containerized backend services using ECS + Fargate for stateless horizontal scaling

Enabled Cloud-Native Scaling and Better Deployment Automation

Future-Ready Database and Application Layer for a High-Growth SaaS Compliance Platform

The Tax Compliance MSP team recognized that while their MSSQL databases were stable, the licensing, performance limitations, and compatibility issues with modern DevOps pipelines were impeding future scalability. Refactoring efforts were delayed due to the perceived complexity of stored procedures, while platform costs continued to grow.

At the same time, their application architecture — initially designed for virtual machines — lacked containerized flexibility and had tight coupling between API layers and underlying databases. Scaling required manual efforts, and the infrastructure wasn’t optimized for elasticity or resilience.

To address this, the leadership team sought a modernization strategy that combined cost reduction, performance uplift, and operational flexibility, without interrupting the services relied on by hundreds of business users.

Problem

The legacy stack at Tax Compliance MSP was heavily reliant on Microsoft SQL Server, which introduced rising operational expenses due to high licensing fees, enterprise support contracts, and per-core pricing. The backend architecture was monolithic, making it difficult to isolate services or enable deployment independence — leading to longer release cycles and increased risk of regression. Additionally, backup and failover processes were manual, consuming valuable engineering time and creating inconsistencies in recovery procedures.

The business logic was embedded in complex T-SQL stored procedures, making any transition to open-source databases challenging. Attempts to migrate functionality using automated tools like AWS SCT often resulted in incomplete or non-optimized translations. These complexities introduced several risks, including the possibility of downtime during production migration, inconsistent function translation, and performance bottlenecks caused by heavy joins and long-running reports under MSSQL. With the cost of scaling and maintenance increasing, the leadership team recognized the urgency to modernize the database and application layers in a way that wouldn’t compromise service reliability.

Solution

Cygnet.One designed and delivered a staged modernization roadmap tailored to Tax Compliance MSP’s operational needs and risk profile. The engagement followed a hybrid approach; combining replatforming to PostgreSQL with selective refactoring — ensuring continuity of services while enhancing performance and cost efficiency.

The team began by converting the MSSQL schema using sqlserver2pgsql and AWS Schema Conversion Tool (SCT). While automated tools were used for initial translation, all critical stored procedures were manually rewritten in PL/pgSQL to ensure optimal execution and compliance with PostgreSQL best practices. This ensured data integrity and logic fidelity post-migration.

For non-production environments, the data was migrated using pgloader in a single-shot operation. For production, the team used AWS Database Migration Service (DMS) with Change Data Capture (CDC) enabled, allowing live data to sync from MSSQL to PostgreSQL without downtime. A dual-write validation window was maintained before cutover to ensure data parity and service continuity.

To support high concurrency and reduce latency, pgbouncer was implemented for connection pooling, while dblink and postgres_fdw extensions were used to replicate cross-database querying logic previously handled within MSSQL. On the application side, Cygnet engineers refactored core services for statelessness and deployed them using Amazon ECS with Fargate, enabling horizontal auto-scaling.

The final cutover was scheduled during an off-peak window. Rollback mechanisms using EBS snapshots and database dumps were pre-tested and documented. Post-switch, the team verified query performance, monitored replication health, and validated log ingestion volumes before decommissioning the legacy stack.

As a result, Tax Compliance MSP now operates on a PostgreSQL-backed architecture that is more cost-efficient, high-performing, and cloud-native. Fully prepared for rapid scaling, CI/CD-driven deployments, and future service expansions.

Tools & Technologies Used

AWS Glue

Managed ETL orchestration

AWS Lambda

Event-driven data triggers

Amazon Redshift

Centralized data warehouse

Power BI

Interactive dashboards and reporting

AWS S3

Storage for raw and processed data

Python & SQL

For data modeling and transformation

Contact us for more

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    CalendarJuly 29, 2025

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    CalendarJuly 31, 2025

    Modernized Infrastructure & Deployment Automation Enabled Zero Manual Provisioning for Tax Compliance MSP 
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    CalendarJuly 28, 2025

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