Move databases to AWS with less migration risk. Rapyder designs and manages AWS DMS migrations with secure replication, schema conversion support, data validation, controlled cutover, rollback planning, and application-aware testing.
Migrating databases to the cloud is one of the most critical steps in modernizing your infrastructure — and it needs to be done right. Our comprehensive aws data migration services ensure that this critical step is handled with precision.
At Rapyder, we specialize in helping enterprises move their databases to Amazon Web Services (AWS) using AWS Database Migration Service (DMS) – securely, efficiently, and with minimal disruption.
Let us help you unlock these benefits through a migration process designed specifically for your business.
Rapyder helps organizations use AWS Database Migration Service to move supported databases into AWS, between AWS environments, or as part of a wider database modernization program. The engagement begins with source and target engines, versions, schemas, objects, data volume, change rate, network, security, downtime, and application dependencies.
Rapyder can design AWS DMS replication instances or serverless configurations, endpoints, tasks, table mappings, transformation rules, monitoring, security, full-load behavior, change data capture, validation, cutover, and rollback. Heterogeneous migrations can also require schema conversion and application remediation.
AWS DMS is one component of the migration. Rapyder validates engine compatibility, unsupported features, data types, large objects, transaction behavior, target performance, application queries, backup, recovery, and operational readiness before production acceptance.
We understand that every database migration comes with unique challenges — from complex schemas to strict compliance requirements.
That’s why our approach focuses on three key pillars:
AWS Database Migration Service (DMS) is a powerful tool that enables fast, secure, and reliable database migrations. The dms service of aws provides is a cornerstone of modern cloud architecture. Here’s what makes it stand out:
Supports Homogeneous &
Heterogeneous Migrations
Move between similar or different database platforms — like MySQL to Oracle or Oracle to Amazon Aurora.
Real-Time Data
Replication
Keep source and target databases in sync during migration with continuous replication.
Minimal
Downtime
Achieve near-zero downtime thanks to CDC (Change Data Capture) technology.
Secure
Transfers
All data transfers are encrypted in transit using SSL, ensuring your information stays protected.
Automated Schema
Conversion
Use AWS Schema Conversion Tool (SCT) to automatically convert your schema and code objects for the target environment.
| MODE | BEST FIT | HOW IT WORKS | CUTOVER CONSIDERATION |
|---|---|---|---|
| Full load only | Workloads that can accept a migration window or static source | Existing source data is copied to the target | Stop changes or reconcile any activity after the load begins |
| Full load plus CDC | Active databases that need reduced cutover downtime | Initial data is loaded, then ongoing source changes are replicated | Monitor replication lag and validate a consistent final state |
| CDC only | Targets that are already seeded or need ongoing change replication | Only changes from a defined log position or time are applied | Confirm start point, log retention, transaction coverage, and target state |
We offer end-to-end support for AWS database migration services, covering everything from planning to post-migration optimization.
Migration Assessment &
Planning
We evaluate your current databases, dependencies, and workloads to design a migration roadmap tailored to your business.
Schema & Code
Conversion
Using AWS SCT, we convert your existing database schema and stored procedures to match the target platform.
Migration
Execution
From initial transfer to full cutover, we handle the entire migration process using AWS DMS – keeping you informed at every step.
Validation & Performance
Optimization
After migration, we verify data accuracy and optimize queries to ensure your new system runs faster than before.
Security &
Compliance
We ensure your migrated databases meet industry standards such as SOC 2, ISO 27001, and GDPR.
Choosing AWS database migration service offers strategic advantages that go beyond just moving data. These benefits are why so many businesses rely on the data migration services that aws provides.
Cost Efficiency
Reduce hardware costs and licensing fees by migrating to managed AWS databases.
Flexibility
Supports over 20+ source and target databases including Oracle, MySQL, PostgreSQL, SQL Server, MongoDB, and more.
Scalability
Easily scale your database resources based on demand without manual intervention.
High Availability
Built-in failover mechanisms ensure your applications stay online even during migration.
Operational Simplicity
Automate repetitive tasks and streamline operations with AWS-managed services.
When it comes to amazon database migration service, partnering with an experienced provider makes all the difference. Here’s why companies trust us:
Rapyder supports organizations across verticals to fully leverage Amazon data migration services:
Whether you’re a fast-growing startup or an enterprise managing complex workloads, our managed services are designed to adapt to your scale and drive measurable outcomes.
Our customer success stories speak volumes. For example, we helped Vouchagram, a leading digital gifting platform, modernize its AWS infrastructure with end-to-end managed services from provisioning and monitoring to security, patching, and automation. Our engagement resulted in 99.99% service availability and a 12% reduction in monthly AWS costs, enabling the client to focus on innovation while we ensured a secure, high-performing, and cost-effective cloud environment. Read Complete Case Study Here.
As a top AWS managed service provider, Rapyder follows a proven, transparent process to deliver high-impact, scalable solutions. Our approach to AWS cloud managed services ensures that businesses get both speed and stability across every stage of their cloud lifecycle.
With Rapyder, you’re not just choosing a vendor, you’re partnering with one of the leading AWS cloud managed service providers dedicated to long-term cloud success. Reach out to us today!
Discover the Impact of Our Cloud Migration Services in Driving Down
Capital Investment and Operational Costs for Businesses.
Discover the Impact of Our Cloud Migration Services in Driving Down Capital Investment and Operational Costs for Businesses.
Common Questions
AWS DMS moves data between supported database and analytics engines using full load, ongoing change data capture, or both. It can support homogeneous and heterogeneous migrations, but schema conversion, unsupported objects, application changes, target design, and validation may require additional tools and engineering.
Rapyder can assess compatibility, design connectivity and security, configure endpoints and replication, define task and table mappings, support schema conversion, monitor tasks, validate data, plan cutover and rollback, tune the target, and transition the migrated database into operations.
Yes, for supported source and target combinations. Heterogeneous migration may require schema, stored procedure, function, data type, query, driver, and application changes. Rapyder evaluates conversion effort and tests behavior before production cutover.
AWS DMS can reduce downtime through ongoing replication, but an absolute zero-downtime claim depends on the application and data behavior. Final cutover still requires consistency checks, connection changes, validation, and rollback decisions. Rapyder defines the achievable window for the specific workload.
Rapyder can monitor task status, table statistics, validation, replication latency, source and target behavior, capacity, logs, and errors through AWS DMS and related AWS monitoring. Thresholds and escalation are defined before the production migration.
Rapyder inventories objects and tests platform support early. Some items can use AWS DMS task settings or schema-conversion tools; others require redesign, staged transfer, native tools, or application change. Exceptions are documented with owners and acceptance criteria.
Teams should validate data completeness and consistency, schema objects, security, application connectivity, queries, transactions, jobs, integrations, performance, monitoring, backup, recovery, and rollback. Business owners confirm that the migrated workload is functionally acceptable before the source is retired.
Delivery Head, Rapyder Cloud Solutions
Don’t let complexity hold you back from the power of the cloud. Whether you’re exploring amazon data migration services or need help with AWS DMS implementation, Rapyder is here to guide you every step of the way.
