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Sybase to PostgreSQL Modernization Sybase Migration & Modernization

Q: What Sybase versions do you support?

We support Sybase SQL Anywhere and Sybase ASE (SAP ASE). Assessment identifies version-specific constructs and migration effort.

Q: How long does a typical migration take?

Assessment: \~1 month. Pilot (10–15 cases): \~3 months. Full migration depends on scope (tables, code, data volume); our playbook and automation compress timeline.

Q: Is data validated after migration?

Yes. migVisor™ Reconciler runs automated validation and targets >99.5% data accuracy, with 10× faster reconciliation than manual checks.

Q: Can we migrate to a cloud other than AWS?

Yes. Primary reference is AWS (RDS, S3); target can be any PostgreSQL-compatible platform (e.g. GCP, Azure, on-prem).

Q: What if we have custom stored procedures?

migVisor™ Code Converter automates a large share of conversion; remaining objects are handled with GenAI-assisted reverse engineering and manual review.

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Sybase to PostgreSQL Modernization

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Solution Overview

Enterprises running Sybase SQL Anywhere or Sybase ASE meet end-of-life support (e.g. 2025), compliance risk, and inability to scale. Legacy applications managing critical data—such as patient workflows in healthcare—require a secure, repeatable path to modern cloud platforms.

EPAM’s Sybase Migration and Modernization service delivers that path. We combine the migVisor™ suite (Analytics, Code Converter, Reconciler) with proven methodologies to assess complexity, automate schema and code conversion, and validate data integrity. Migration is executed to Amazon RDS for PostgreSQL (or other PostgreSQL targets), with data staged via Amazon S3 and optional log-based reconciliation. migVisor also supports GC and Azure clouds.

The service is designed for regulated industries and mission-critical systems: secure, compliant, and with zero disruption to end users when planned correctly.

Customer Problem

Sybase end-of-life, critical application and data risk, tight coupling with legacy apps, need for cloud scalability and compliance.

EPAM Solution

Full assessment with migVisor™ Analytics; automated conversion with migVisor™ Code Converter; secure cloud-native architecture on AWS (or other clouds); validation with migVisor™ Reconciler; performance tuning and ongoing optimization.

Data Migration from On Premises to AWS Cloud

Request Logs Processing & Reconciliation

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Key Differentiators

10× faster reconciliation, >99.5% accuracy

migVisor™ Reconciler automates validation and ensures high data accuracy, cutting manual effort and compliance risk

Sybase modernization framework

Proven methodology, accelerators, and technical expertise for secure, compliant migration from Sybase to AWS PostgreSQL

Benefits

50% migration cost savings

Automation, reusable assets and cloud optimization lower migration costs

80% code conversion automated

Schema and code conversion with migVisor™ Code Converter reduce manual effort

45% performance improvement post-migration

Query tuning, log analysis, and AI-driven insights improve runtime performance

AI toolset for automated migration

migVisor™ accelerates Sybase-to-PostgreSQL migrations by up to 40%

Secure, compliant migration

Encrypted transfer, compliance, and zero disruption for critical apps

Features

Assessment: SQL complexity analysis, dependency mapping, migration roadmap, and PoC with migVisor™.
Automated conversion: migVisor™ Code Converter for schema and code.
Data migration: Staged migration via S3 (or equivalent), encrypted transfer, minimal downtime.
Reconciliation: migVisor™ Reconciler for automated validation.
GenAI-assisted QA: Reverse engineering and test acceleration.
Performance tuning: Post-migration SQL tuning, log analysis, and AI insights.
Reusable playbook: Repeatable methodology across Sybase-to-PostgreSQL engagements.
Cloud-native target: Amazon RDS for PostgreSQL by default (other PostgreSQL-compatible targets are supported).

Use Cases

Healthcare

Problem Statement

A healthcare company currently relies on Sybase SQL Anywhere, which is approaching its EOL in 2025. This poses significant risks to critical patient data and imaging workflows, especially given the need to maintain strict compliance requirements.

Solution Proposed

Full SQL assessment with migVisor™ Analytics; migration plan and PoC; cloud-native design on Amazon RDS for PostgreSQL; migVisor™ Code Converter; data via S3; migVisor™ Reconciler for validation.