Enterprise data migration that prevents the 83% failure rate with zero-downtime architectures

Migrate from legacy mainframes, Oracle, SQL Server, DB2, SAP systems, and on-premise infrastructure to modern cloud platforms with automated schema mapping, real-time validation, and rollback capabilities that eliminate data loss and corruption risks.

Our engineering team builds custom migration architectures with incremental transfer strategies, automated data validation, and parallel processing that maintains business continuity while moving petabytes of critical enterprise data.

Enterprise Data Migration Services | Zero Downtime | Xenoss

Leaders trusting our AI solutions:

83%

Migration failure rate eliminated with proven zero-downtime architectures

99.9%

Data integrity maintained during complex legacy system transitions

<1hr

Cutover window for mission-critical enterprise database migrations

Proud members and partners of

Challenges Xenoss eliminates with data stack integration services

Data corruption and loss during complex schema transformations

Legacy systems use incompatible data types, encoding formats, and constraint structures that don’t map cleanly to modern platforms. Manual schema conversion introduces errors, truncated fields, and referential integrity violations that corrupt critical business data.

Extended downtime disrupting mission-critical business operations

Traditional big-bang migration approaches require taking systems offline for days or weeks, causing revenue loss and operational paralysis. Financial institutions, healthcare systems, and manufacturing operations can’t afford prolonged database unavailability.

Incomplete data validation leading to silent migration failures

Teams discover data inconsistencies, missing records, and broken relationships weeks after go-live when business processes start failing. Without comprehensive validation frameworks, corrupted migrations go undetected until they impact customer transactions.

Legacy system complexity preventing automated migration approaches

Mainframe COBOL applications, proprietary database formats, and custom-built systems with decades of business logic can’t be migrated using standard tools. Manual data extraction and transformation processes are error-prone and don’t scale to enterprise volumes.

Rollback impossibility creating catastrophic project risks

When migrations fail mid-process, teams have no reliable way to restore original systems and data states. The inability to rollback forces organizations to continue with corrupted migrations or face weeks of system reconstruction from backups.

Performance degradation in target systems after migration

Data that performed well in legacy systems becomes slow and inefficient in modern platforms due to poor indexing strategies, suboptimal partitioning, and incompatible query patterns. Post-migration performance issues force expensive re-architecture.

Compliance violations during sensitive data transfer processes

Moving regulated data between systems without proper encryption, audit trails, and access controls violates GDPR, HIPAA, and industry regulations. Compliance breaches during migration result in fines, legal exposure, and loss of customer trust.

Vendor lock-in and proprietary format dependencies

Legacy systems often use proprietary data formats, custom APIs, and vendor-specific technologies that make migration extremely expensive and technically complex. Organizations become trapped by legacy vendors who charge premium rates for migration tools.

Migrate petabyte-scale enterprise data without business disruption

What we engineer for enterprise use cases

Custom migration orchestration platforms and workflow automation

We engineer bespoke migration control systems that orchestrate your complex multi-system data transfers with dependency management, scheduling, and monitoring. Our automated workflows handle rollback procedures, validation checkpoints, and parallel processing coordination for your enterprise-scale migrations.

Legacy data extraction and transformation engines

We develop custom ETL pipelines and data connectors for extracting from your mainframes, AS/400, proprietary databases, and legacy APIs that standard tools can’t access. Our transformation logic handles complex schema mapping, data type conversions, and business rule preservation.

Real-time migration monitoring and validation systems

We create comprehensive monitoring dashboards and validation frameworks that track your migration progress, detect data inconsistencies, and verify integrity throughout the transfer process. Our automated alerting systems catch corruption before it impacts your business operations.

Zero-downtime migration architectures with live replication

We engineer incremental migration systems with change data capture (CDC), real-time synchronization, and seamless cutover mechanisms. Our parallel processing architectures maintain your business continuity while transferring petabytes of your enterprise data.

Custom schema mapping and data conversion frameworks

We develop intelligent schema analysis tools that automatically map your legacy data structures to modern formats while preserving relationships and constraints. Our custom conversion engines handle proprietary formats, COBOL data types, and mainframe encoding schemes.

Enterprise-grade security and compliance automation

We build encryption pipelines, audit logging systems, and compliance reporting automation that meets GDPR, HIPAA, and industry requirements for your organization. Our secure data transfer protocols include end-to-end encryption and comprehensive access controls.

Performance optimization and target system tuning

We engineer post-migration optimization systems that analyze your query patterns and implement intelligent indexing, partitioning, and caching strategies. Our performance monitoring tools ensure your migrated data performs better than legacy systems.

Migration testing and rollback automation platforms

We develop comprehensive testing frameworks for validating your migration success before cutover, including data integrity verification, performance benchmarking, and business process validation. Our automated rollback systems provide point-in-time recovery capabilities.

How to start

Transform your enterprise with AI and data engineering—faster efficiency gains and cost savings in just weeks

Challenge briefing

2 hours

Tech assessment

2-3 days

Discovery phase

1 week

Proof of concept

8-12 weeks

MVP in production

2-3 months

Tech stack for enterprise data migration

Why Xenoss is trusted with enterprise-grade data migration

We solve the complex migration challenges that prevent enterprises from successfully moving from legacy systems to modern platforms.

Eliminated the 83% migration failure rate with proven zero-downtime architectures

Engineered incremental migration systems for Fortune 500 companies that transfer petabyte-scale data while maintaining 99.9% system availability. Our zero-downtime architectures prevent the operational disruption and revenue loss that causes most enterprise migration projects to fail.

Deep expertise in COBOL, AS/400, SAP, and vendor-specific data formats

Built custom connectors and extraction tools for IBM z/OS mainframes, AS/400 systems, Oracle legacy databases, and proprietary formats that standard migration tools can’t handle. Our legacy expertise enables data extraction from systems with decades of accumulated business logic.

Prevented data corruption through intelligent schema mapping and validation

Developed proprietary schema analysis tools that automatically map legacy data structures to modern formats while maintaining referential integrity and business rules. Our validation frameworks catch corruption before it impacts business operations or compliance reporting.

Point-in-time recovery capabilities that provide instant restoration during failed migrations

Created comprehensive rollback mechanisms with automated state preservation that allow instant restoration to pre-migration conditions. Our rollback systems eliminate the catastrophic risks that force organizations to continue with corrupted migrations or face weeks of reconstruction.

Optimized post-migration performance preventing system degradation

Engineered performance optimization frameworks that analyze query patterns and implement intelligent indexing, partitioning, and caching strategies. Our optimization prevents the performance degradation that forces expensive re-architecture after migration completion.

Implemented enterprise-grade compliance and security automation

Built comprehensive security frameworks with encryption pipelines, access controls, and audit logging that meet GDPR, HIPAA, and industry compliance standards. Our automated compliance reporting ensures regulatory adherence throughout sensitive data transfers.

Developed parallel processing architectures for petabyte-scale migrations

Created custom parallel processing platforms that distribute migration workloads across multiple systems while maintaining data consistency and integrity. Our architectures scale to handle the massive data volumes that overwhelm traditional migration approaches.

Eliminated vendor lock-in through unified migration platforms

Built comprehensive migration frameworks that handle any source system regardless of vendor or proprietary format. Our unified platforms break organizations free from expensive vendor migration tools and professional services while maintaining full control over processes and timelines.

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Eliminate migration risks with custom architectures that prevent data loss and downtime

Talk to our engineers about designing incremental migration platforms with parallel processing, automated validation, comprehensive rollback capabilities, and enterprise-grade security that handle petabyte-scale data transfers from legacy mainframes and proprietary systems to modern cloud platforms.

Xenoss team helped us build a well-balanced tech organization and deliver the MVP within a very short timeline. I particularly appreciate their ability to hire extreme fast and to generate great product ideas and improvements.

Oli Marlow Thomas,

CEO and founder, AdLib

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Enterprise data migration that prevents the 83% failure rate with zero-downtime architectures

Challenges Xenoss eliminates with data stack integration services

Migrate petabyte-scale enterprise data without business disruption

Custom migration orchestration platforms and workflow automation

Legacy data extraction and transformation engines

Real-time migration monitoring and validation systems

Zero-downtime migration architectures with live replication

Custom schema mapping and data conversion frameworks

Enterprise-grade security and compliance automation

Performance optimization and target system tuning

Migration testing and rollback automation platforms

Tech stack for enterprise data migration

Deep expertise in COBOL, AS/400, SAP, and vendor-specific data formats

Prevented data corruption through intelligent schema mapping and validation

Point-in-time recovery capabilities that provide instant restoration during failed migrations

Optimized post-migration performance preventing system degradation

Implemented enterprise-grade compliance and security automation

Developed parallel processing architectures for petabyte-scale migrations

Eliminated vendor lock-in through unified migration platforms

Multi-agent extendable hyperautomation platform for enterprise accounting automation

ML-based virtual flow meter

Implementing a proprietary SDK with a lightweight tracker for a new generation mediation platform

Developing a gaming advertising platform with 1.4B monthly video impressions

Building performance-oriented mobile DSP with innovative user behavior prediction mechanism

Fast rollout of AI-powered creative management platform used by Nestlé, Adidas & Uber

Building a video-on-demand platform with 1.1M monthly users for a leading content distributor in Europe

Reducing infrastructure costs by 20 times for a programmatic ad marketplace with 1B audience reach

Multifunctional Customer Data Platform (CDP)

Unified multi-modal neural network for improving credit scoring accuracy

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