Database & Data Migration Services

Rebuild your data foundation for speed, scale, and security with the help of expert data migration specialists.

Legacy databases slow you down and increase risk. Through our data migration consulting, we help you modernize from the inside out, restructuring schemas, migrating across platforms, and enabling real-time access to business-critical data.

• Cross-platform & cross-cloud migration. Our data migration international capabilities enable us to migrate databases across operating systems and cloud providers, from on-premises SQL Server to AWS Aurora, and from Oracle to PostgreSQL on GCP. Each move is designed to minimize downtime and ensure complete data integrity.
• Legacy-to-Cloud Database Replatforming. Migrate legacy systems (such as IBM DB2 or Informix) to scalable cloud-native environments with built-in resilience and elasticity. We provide schema conversion, code customization, and performance tuning every step of the way.
• Automated ETL/ELT modernization. We redesign outdated data pipelines with tools like Apache Airflow, dbt, and Talend, automating transformation logic, improving auditability, and reducing maintenance.
• AI-augmented migration strategy. With our AI Solution Accelerator™, we analyze database structures, identify performance bottlenecks, and create optimized migration plans that accelerate deployment by up to 60%.
• Compliance-ready architecture. We implement security-focused designs with RBAC, column-level encryption, audit trails, and data masking, enabling you to meet standards such as GDPR, HIPAA, and ISO 27001.
• Real-time replication & streaming. Enable the continuous movement of data and migrate services in real-time with tools like Debezium, Kafka, and Snowflake Streams to keep your systems in sync and your decisions up-to-date.

This is how our data migration solution transforms your data estate into a strategic asset — one that is compliant, performant, and primed for growth with zero operational drag.

Seamless transition to a scalable, secure, and cost-efficient data infrastructure.

Moving to the cloud isn’t just about hosting, it’s about unlocking the full potential of your data. We’re with you every step of the way, delivering precision, performance, and uninterrupted service.

• On-prem to cloud migration. As part of our cloud database migration service, we move your data from local databases to AWS, Azure, or GCP. We take care of redesigning schemas, data validation, and mapping dependencies to ensure a stable, production-ready environment.
• Cross-cloud migration. Migrate from one cloud provider to another (e.g., AWS RDS to Azure SQL) with automatic replication, staged cutovers, and no data loss. We plan, test, and execute each migration with measurable control.
• Cloud-native optimization. More than just lift-and-shift, we customize your new environment for elasticity, high availability, and cost efficiency using managed services like BigQuery, Aurora, Synapse, and Redshift.
• AI-guided planning & execution. Our AI tools scan configurations, identify risks, and create migration plans, shortening timelines and eliminating configuration mismatches across environments.
• Business continuity by design. We implement versioned rollouts, blue-green deployments, and backup protocols to keep your data available, protected, and resilient during migration.
  

Your systems stay live, your team keeps moving, and your data lands in the cloud built for performance, protection, and precision scaling.

Cut the cord, not the control.

Legacy systems often linger long after they stop adding value, draining resources, and blocking transformation. We help you phase them out safely, systematically, and with complete operational continuity.

• Deep dependency mapping. Our data migration consultant analyzes how data flows between systems, services, and applications, identifying what can be shut down, revised, or replaced.
• Modular decoupling. Our engineers isolate critical components, APIs, jobs, reports, and DB triggers, and move them into modern equivalents, microservices, or managed workflows.
• Data retention & archiving. We implement strategies for legally compliant data archiving with full audit trails, ensuring that historical records remain accessible without requiring technical expertise.
• Decommissioning playbooks. Each decommissioning is managed via structured cutover plans, rollback mechanisms, and final validation protocols, eliminating risk and ensuring business continuity.
• Cost & risk reduction. By decommissioning obsolete systems, you lower infrastructure costs, reduce maintenance risk, and free up your team to focus on development, not babysitting.

This is how you reclaim control, cut waste, and future-proof your stack without breaking what still works.

Preserve behavior. Modernize the structure.

Stored procedures, triggers, and embedded SQL logic often carry years of business rules, but trap you in outdated systems. We help you extract, refactor, and migrate logic with full functional parity.

• Stored procedure extraction & refactoring. Our data migration consultants analyze procedural logic (e.g., PL/SQL, T-SQL) and migrate it into modern equivalents, application code, microservices, or modular functions, without breaking dependencies.
• Business logic replatforming. Move from tightly coupled DB logic to scalable application layers using modern stacks (Node.js, .NET, Python, etc.) while maintaining functional behavior and enabling future extensibility.
• API compatibility mapping. We translate legacy database APIs into RESTful services, GraphQL endpoints, or event-driven handlers, allowing your integrations to evolve without the need to rewrite consumers.
• Transactional integrity assurance. We replicate sequencing, rollback, and retry behavior in stateless environments, ensuring your new system behaves like the original, only faster and safer.
• Gradual rollout via feature flags. Using feature toggles, we gradually shift the execution of logic to the new services, minimizing risk and enabling business validation before complete transition.

You retain the logic that runs your business, reengineered for speed, scalability, and zero legacy drag.

Keep systems in sync, without stopping the business.

Modern migrations demand continuous availability. With real-time replication and Change Data Capture (CDC), your legacy and modern systems stay aligned, allowing you to migrate gradually, test confidently, and switch seamlessly.

• Zero-downtime migration enablement. We implement data replication pipelines in near real-time with tools such as Debezium, AWS DMS, Intel Data Migration Software, or Azure Data Factory, enabling live shadow systems and phased conversions.
• Change event streaming. Every insert, update, or delete operation is captured and streamed to the target systems (e.g., via Kafka, Kinesis, or Pub/Sub) for analysis, backups, and service synchronization.
• Bi-directional sync support. For hybrid configurations, we support bi-directional replication with conflict detection and resolution, ensuring data consistency across environments during extended periods of transition.
• Selective table & field-level tracking. Capture only what’s essential. We fine-tune the CDC configuration to track business-critical data while minimizing processing overhead.
• Latency & drift monitoring. We deploy custom observability dashboards to track replication delays, drift errors, and synchronization performance, so you’re always informed and in control.

You get uninterrupted operations, complete visibility, and the freedom to modernize on your terms, one consistent data stream at a time.

Better data in. Better outcomes out.

Migrating legacy data without cleaning it means transferring the same problems to a new environment. We ensure that only clean, accurate, and compliant data makes the move, using automation and AI at every step.

• AI-driven anomaly detection. Machine learning models detect duplicates, inconsistencies, and invalid records that go far beyond what rule-based scripts can catch. Everything is logged, evaluated, and can be verified by humans, unlike basic tools such as Intel migration software, which focus on cloning rather than cleansing.
• Automated data profiling. We scan data sets for format errors, outliers, incomplete values, and structural mismatches and create detailed reports and quality KPIs before the migration begins.
• Standardization & normalization pipelines. Our ETL tools (dbt, Talend, Apache NiFi) enforce naming conventions, data types, units of measurement, and taxonomies, and ensure that data behaves consistently downstream.
• Sensitive data redaction & classification. We recognize PII, PCI, and other sensitive fields using NLP and Entity Recognition and apply masking, encryption, or segregation policies as required.
• Integration of feedback loops. After migration, we monitor quality deviation, automatically flag anomalies, and improve cleansing models based on usage, making your data stack smarter over time.

This is how your new system starts clean, stays compliant, and continuously improves, turning legacy chaos into intelligence you can trust.

Trust what you migrate. Prove what you deliver.

Even a flawless migration plan means little without confidence in the result. We automate testing and validation to ensure your data is complete, accurate, and performs as expected, before you go live.

• Schema & data integrity verification. Automated tools compare source and target structures, detect inconsistencies, and verify consistency at the field level, including NULL values, constraints, and relationships.
• Volume & consistency checks. Line counts, hash comparisons, and referential integrity checks ensure that nothing is lost, duplicated, or distorted in transit.
• Performance regression testing. We simulate real workloads to validate query latency, indexing, and load behavior, ensuring the new system meets or exceeds its SLAs.
• Business logic validation. Test harnesses validate triggers, stored procedures, and derived fields against synthetic and historical data to ensure parity with legacy systems.
• CI/CD integration for continuous testing. Unlike generic approaches, our data migration solutions embed testing into your pipelines and enable revalidation after every change, rollback scenario, or deployment, so quality assurance never blocks release.

You launch with confidence because every record, rule, and response has already been thoroughly tested.

Architect for flexibility. Operate without lock-in.

Your data shouldn’t be confined to one environment, and neither should your options. We design hybrid and multi-cloud strategies that strike a balance between control, compliance, and cost efficiency.

• Cross-cloud compatibility Engineering. We build data architectures that span AWS, Azure, and GCP, aligning storage formats, query tiers, and networks to support interoperability and smooth migration.
• Hybrid data orchestration. Whether you’re combining on-premises warehouses with cloud lakes or synchronizing data across regions, we configure distributed workflows using tools like Airflow, Kafka, and dbt Cloud.
• Cloud-agnostic storage design. We structure schemas, partitions, and data lakes to avoid cloud-specific lock-in and use open formats such as Parquet, Avro, and Delta Lake.
• Latency-aware replication plans. Our engineers design data flows that are optimized for proximity, failover, and compliance, whether it’s real-time CDC or batch ETL across zones.
• Observability & cost visibility. Unified dashboards track usage, costs, replication latency, and drift across all providers so that you can stay on top of the situation even in complex topologies.

This is how your data stays portable, performant, and always aligned with your business.