PostgreSQL databasemigration services
PostgreSQL migration services from JusDB cover cross-engine conversion and PostgreSQL major-version upgrades. We assess schemas, data types, routines, extensions, and application compatibility, then agree validation checks, a rehearsed cutover window, rollback limits, and handover. The method depends on your source engine, version, and target platform.
Moving an existing PostgreSQL database to or between cloud platforms? Our PostgreSQL cloud migration services cover platform selection, connectivity, managed-service limits, and application cutover.
Migration in flight — sound familiar?
- ▸ Replication slot bloat — WAL retention eating disk because the logical replication slot can't advance; cutover window keeps growing while the source runs out of headroom.
- ▸ Logical replication breaks on DDL — Every schema change mid-stream tears down the subscription — and the application team can't freeze schemas for a 2-week cutover.
- ▸ pg_largeobject doesn't transfer — pg_dump skips large objects without --blobs; sequences lose their ownership relationship; you only catch it after cutover when sequences drift.
JusDB migration consultants own the cutover playbook + rollback plan, end-to-end. Book a migration scoping call →
Supported Migration Scenarios
Comprehensive PostgreSQL migration services for every scenario
PostgreSQL Version Upgrades
PostgreSQL 9.x to 18.x Upgrades
PostgreSQL version upgrades with pg_upgrade or logical replication, compatibility testing, and a low-downtime cutover plan.
- • pg_upgrade utilities optimization
- • Logical replication upgrades
- • Extension compatibility testing
- • Feature migration planning
- • Performance validation
Oracle to PostgreSQL
Oracle to PostgreSQL Transition
Complete Oracle to PostgreSQL migration with PL/SQL to PL/pgSQL conversion and Oracle-specific feature alternatives for database migration risk mitigation.
- • PL/SQL to PL/pgSQL conversion
- • Oracle-specific feature alternatives
- • Performance optimization
- • Schema transformation
- • Application compatibility
SQL Server to PostgreSQL
T-SQL transformation, Windows to Linux migration, and stored procedure conversion for SQL Server transitions with Postgres cross-region migration support.
- • T-SQL transformation
- • Windows to Linux migration
- • Stored procedure conversion
- • SSIS to PostgreSQL tools
- • Authentication migration
MySQL to PostgreSQL
MyISAM to PostgreSQL conversion, with a plan for adopting PostgreSQL features and tuning performance after the migration.
- • MyISAM to PostgreSQL conversion
- • Advanced feature adoption
- • Performance enhancement
- • Data type optimization
- • Index strategy migration
Cloud Platform Migration
AWS RDS & Aurora Migration
AWS RDS/Aurora, Azure Database, Google Cloud SQL migrations with multi-cloud strategies and optimization for PostgreSQL cloud migration expert services.
- • AWS RDS/Aurora PostgreSQL
- • Azure Database for PostgreSQL
- • Google Cloud SQL migrations
- • Multi-cloud strategies
- • Cost optimization
Legacy System Modernization
Mainframe database migration, application refactoring, and cloud-native transformation for legacy systems with comprehensive database migration services.
- • Mainframe database migration
- • Application refactoring
- • Cloud-native transformation
- • COBOL copybook conversion
- • Batch processing modernization
Six-Phase Migration Methodology
A six-phase methodology built for low-downtime migrations, with risk mitigation at every phase
Assessment Phase
Current system analysis, compatibility evaluation, migration complexity assessment, and timeline development.
System Analysis
- • Database schema complexity
- • Data volume assessment
- • Performance baseline
- • Extension dependencies
- • Security configuration
Compatibility Evaluation
- • Version compatibility matrix
- • Feature gap analysis
- • Application dependencies
- • Third-party integrations
- • Custom code review
Migration Planning
- • Timeline development
- • Resource allocation
- • Risk assessment
- • Success criteria
- • Rollback procedures
Planning Phase
Migration strategy design, data mapping, application impact analysis, and testing framework design.
Strategy Design
- • Migration approach selection
- • Downtime minimization strategy
- • Data synchronization plan
- • Cutover procedures
- • Contingency planning
Impact Analysis
- • Application dependency mapping
- • Business process impact
- • User experience considerations
- • Integration point analysis
- • Performance impact assessment
Preparation Phase
Environment setup, tool configuration, baseline establishment, and backup procedures implementation.
Execution Phase
Incremental migration, real-time synchronization, validation testing, and rollback preparation.
Migration Progress
Real-time Monitoring
Validation Phase
Data integrity verification, performance validation, functional testing, and user acceptance testing.
Data Integrity
- • Row count verification
- • Checksum validation
- • Foreign key integrity
- • Data type consistency
Performance Testing
- • Query performance
- • Load testing scenarios
- • Concurrent user simulation
- • Resource utilization
Functional Testing
- • Application compatibility
- • Feature functionality
- • Integration testing
- • User acceptance
Go-Live Phase
Final cutover, monitoring activation, support coordination, and optimization implementation.
Cutover Process
- • Final synchronization
- • Application switchover
- • DNS updates
- • Connection string updates
- • Monitoring activation
Post-Migration Support
- • Monitoring and alerting setup
- • Performance optimization
- • Issue resolution
- • Knowledge transfer
- • Documentation delivery
Data Validation & Risk Mitigation
Comprehensive validation and risk management throughout the migration process
Data Integrity Validation
Extension Compatibility Verification
Multi-layered validation to verify data accuracy and consistency across all migration phases.
- Row Count Verification: Automated comparison of row counts across all tables to ensure complete data transfer
- Checksum Validation: pg_checksums and custom hash functions to verify data integrity at the byte level
- Foreign Key Integrity: Comprehensive validation of all referential integrity constraints
- Data Type Consistency: Verification of data type mappings and value ranges
- Sample Data Comparison: Statistical sampling and comparison of actual data values
Risk Mitigation Strategies
Schema Merging & Optimization
Proactive risk management with multiple safety nets and rollback capabilities at every stage.
- Comprehensive Backups: Full database backups before each migration phase with verified restore procedures
- Rollback Procedures: Documented and tested rollback plans, with a recovery time objective agreed with you before cutover
- Staging Environment Testing: Complete migration rehearsal in production-like environments
- Parallel Running: Source and target databases run in parallel during validation period
- Continuous Monitoring: Real-time monitoring with automated alerts for anomalies during the migration
How JusDB PostgreSQL Migration compares to alternative approaches.
Generic cloud migration tools and legacy dump/restore scripts introduce extended multi-hour downtime and schema incompatibilities. Here is how our specialized PostgreSQL migration team compares:
| Decision or deliverable | JusDB migration scope | Platform or tool | Your team | Validation and handover |
|---|---|---|---|---|
| Migration & Upgrade Method | Assess cross-engine conversion or major-version upgrade paths and document their prerequisites. | Determine supported import, upgrade, replication, extension, and access options. | Provide source inventory, application requirements, and production approvals. | A compatibility assessment and a selected method with tested acceptance criteria. |
| Heterogeneous Engine Conversion | Review data types, schemas, routines, and application behavior; use conversion tools with manual review where needed. | Define supported source engines and conversion capabilities for each migration service. | Validate business rules, application SQL, and ownership of code changes. | Conversion exceptions, application tests, and decisions on unsupported objects. |
| Data Validation & Integrity | Plan row counts, normalized row hashes, constraints, sequences, and functional checks against agreed criteria. | Expose supported data movement and validation facilities; physical page checksums do not compare logical rows across engines. | Approve validation coverage and investigate business-data exceptions. | Source/target comparison results, exception records, and cutover approval. |
| Target Platform Compatibility | Assess the target PostgreSQL version, extensions, connectivity, authentication, and operating limits. | Control documented platform features and service configuration. | Choose the target and approve access, maintenance, and operating costs. | Compatibility findings and an agreed target configuration. |
| Schema Modernization | Propose schema or index changes separately from migration where they alter application behavior. | Determine supported data types, extensions, and version features. | Approve schema changes and run application regression tests. | A reviewed configuration diff, test results, and rollback conditions. |
| Rollback & Handover | Document source retention, recovery criteria, and reconciliation of writes after cutover. Test reverse replication only where supported. | Provide the supported backup, restore, and replication mechanisms. | Approve the recovery decision and assign owners for application reconnect and write reconciliation. | A rehearsed recovery plan, validation records, and operating instructions. |
Production Migration Breakdown Modes We Prevent
Terabyte-scale database migrations collapse when logical replication slots stall, sequences desynchronize, or unindexed foreign keys lock production tables during cutover. Our DBREs mitigate these critical breakdown modes:
Replication Slot Lag & Unbounded WAL Disk Saturation
During ongoing logical replication, schema alterations or high transaction write spikes stall replication apply workers. Unconsumed WAL accumulates on the source database until disk capacity reaches 100%, triggering an immediate primary database shutdown.
JusDB configures max_slot_wal_keep_size thresholds, instruments real-time pg_wal_lsn_diff byte alerts, and enforces automatic replication throttle policies to safeguard source storage volumes.
Data Type & Sequence Desynchronization Post-Cutover
Cross-engine migrations from Oracle or MySQL fail to transfer sequence ownership or trigger implicit numeric type truncation. Post-cutover application writes fail immediately with primary key collision violations and sequence drift errors.
JusDB executes automated pre-cutover validation scripts comparing sequence maximums against table values, verifying identity column semantics, and validating row-by-row checksum hashes.
DDL-Induced Replication Slot Invalidation & Breakdown
Direct DDL changes executed on the source database during live logical replication cause subscription workers to encounter unhandled errors, crashing the replication pipeline and requiring manual re-initialization of terabyte-scale datasets.
JusDB deploys strict schema freeze gates during migration cycles, configures event triggers to intercept unauthorized DDL, and scripts idempotent catch-up syncs via pglogical or AWS DMS.
Our migration engineers run non-blocking queries to audit logical replication lag and identify unindexed foreign keys before executing live cutovers:
Calculates pending WAL bytes retained by logical replication slots to verify real-time stream synchronization before initiation of cutover.
-- 1. Inspect replication slots and byte lag from current WAL LSN SELECT slot_name, plugin, slot_type, active, pg_size_pretty(pg_wal_lsn_diff(pg_current_wal_lsn(), restart_lsn)) AS retained_wal_bytes, pg_size_pretty(pg_wal_lsn_diff(pg_current_wal_lsn(), confirmed_flush_lsn)) AS pending_flush_bytes FROM pg_replication_slots; -- 2. Inspect active subscription worker status on target SELECT subname, pid, received_lsn, last_msg_send_time, last_msg_receipt_time, latest_end_lsn FROM pg_stat_subscription;
Detects unindexed foreign keys that acquire full-table share locks on parent updates or deletes, preventing application deadlock during migration cutover.
-- Identify foreign keys without matching indexes
SELECT
c.conrelid::regclass AS child_table,
string_agg(a.attname, ', ' ORDER BY x.n) AS fk_columns,
c.confrelid::regclass AS parent_table
FROM pg_constraint c
CROSS JOIN LATERAL unnest(c.conkey) WITH ORDINALITY AS x(attnum, n)
JOIN pg_attribute a ON a.attnum = x.attnum AND a.attrelid = c.conrelid
WHERE c.contype = 'f'
AND NOT EXISTS (
SELECT 1 FROM pg_index i
WHERE i.indrelid = c.conrelid
AND (i.indkey::smallint[])[0:array_length(c.conkey, 1) - 1] = c.conkey
)
GROUP BY c.conrelid, c.confrelid;Specialized Migration Scenarios
Expert handling of complex enterprise migration requirements
Oracle Enterprise to PostgreSQL
Complete Oracle to PostgreSQL migration with feature compatibility matrix, PL/SQL conversion strategies, and Oracle-specific alternatives.
SQL Server Integration Services
ETL process migration, SSIS to PostgreSQL tools, and data pipeline modernization for SQL Server environments.
Legacy Mainframe Migration
COBOL copybook conversion, batch processing modernization, and real-time system transformation from mainframe environments.
Multi-Database Consolidation
System integration, data harmonization, and API standardization for multiple database consolidation projects.
PostgreSQL Migration Tools & Methodologies
Industry-leading tools for secure, efficient migrations
Oracle to PostgreSQL Migration
Comprehensive Oracle to PostgreSQL migration consulting using industry-leading tools
Ora2Pg
Open-source Oracle to PostgreSQL migration tool
- • Schema conversion
- • Data migration
- • PL/SQL to PL/pgSQL
- • Migration assessment
AWS DMS
AWS Database Migration Service
- • Continuous replication
- • Minimal downtime
- • CDC support
- • Schema conversion
CYBERTEC Migrator
Enterprise Oracle migration solution
- • Complex PL/SQL conversion
- • Package migration
- • Automated testing
- • Performance tuning
Our Oracle to PostgreSQL Expertise
- PL/SQL to PL/pgSQL automated conversion
- Oracle compatibility layer setup (Orafce)
- Stored procedure migration and testing
- Performance tuning for PostgreSQL query patterns
- Oracle-specific feature alternatives
- Licensing cost analysis & ROI calculation
SQL Server to PostgreSQL Migration
Complete T-SQL transformation and Windows to Linux migration strategies
AWS DMS
AWS Database Migration Service
- • SQL Server CDC
- • Continuous replication
- • Schema conversion
- • Data validation
pgloader
High-performance data loading
- • Parallel data loading
- • Data transformation
- • Error handling
- • Type mapping
Custom Scripts
Tailored migration solutions
- • T-SQL conversion
- • SSIS replacement
- • Job scheduling
- • ETL pipelines
SQL Server Migration Services
- T-SQL to PL/pgSQL conversion
- Windows to Linux migration strategy
- Application compatibility testing
- SSIS to PostgreSQL tools migration
- Authentication migration (AD to LDAP)
- Licensing cost analysis and ROI calculation
MySQL to PostgreSQL Migration
Adopt PostgreSQL features with a validated data migration
pgloader
Direct MySQL to PostgreSQL loading
- • One-command migration
- • Automatic type mapping
- • Index conversion
- • Constraint handling
AWS DMS
Managed migration service
- • MySQL binlog CDC
- • Minimal-downtime migration
- • Data validation
- • Monitoring dashboard
Custom ETL
Tailored data pipelines
- • Data transformation
- • Business logic migration
- • Incremental sync
- • Validation testing
MySQL to PostgreSQL Benefits
- ACID compliance upgrade
- Advanced JSON capabilities (jsonb)
- Improved scalability with table partitioning
- Better full-text search with native FTS
- Advanced indexing (GIN, GiST, BRIN)
- Window functions and CTEs
Cloud PostgreSQL Migration Services
Expert cloud migration to all major platforms with optimized configurations
AWS PostgreSQL Migration
- AWS Database Migration Service (DMS) setup
- RDS for PostgreSQL optimization
- Aurora PostgreSQL migration and tuning
- AWS Schema Conversion Tool (SCT)
- Multi-AZ high availability setup
- Read replica configuration
Azure PostgreSQL Migration
- Azure Database Migration Service
- Azure Database for PostgreSQL configuration
- Flexible Server deployment
- Hybrid cloud setup with on-premises
- Cost optimization with reserved capacity and burstable tiers
- Zone-redundant high availability
Google Cloud PostgreSQL Migration
- Database Migration Service for PostgreSQL
- Cloud SQL for PostgreSQL optimization
- AlloyDB for PostgreSQL migration
- 100x faster analytics with AlloyDB
- Multi-region setup for global applications
- BigQuery integration for analytics
PostgreSQL migration questions, answered
Common questions about our PostgreSQL migration services
What is the timeline for a 9.x to 18.x upgrade?
How do you keep downtime low during migration?
Which cloud platforms do you support?
How is data integrity validated?
Can you handle cross-database migrations (MySQL to Postgres)?
What happens if something goes wrong during migration?
Do you provide post-migration support?
Migration & Database Architecture Comparisons
Evaluate cross-engine migration paths, architectural trade-offs, and post-cutover operational readiness.
Ready for Your PostgreSQL Migration?
Get a comprehensive migration assessment and a detailed project plan, with rehearsed cutovers and a rollback plan agreed in advance.
Phone: +91-9994791055 · Email: contact@jusdb.com
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