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Database Migration Services

  • Streamline Your Database Migration: Maximize Efficiency and Minimize Downtime

Transform your data strategy by migrating to the cloud, boosting agility & scalability by 30%. At WaferWire, we deliver seamless migrations across leading platforms, ensuring each transition is efficient, secure, and tailored to your unique needs. Minimize downtime & maximize performance for lasting business success.

Why Choose WaferWire?

Proven Expertise

Our skilled team utilizes best practices and advanced tools for a seamless database migration.

Minimized Downtime

We implement strategies that ensure your business continues to operate smoothly during the migration.

Data Integrity & Security

We prioritize the safety and integrity of your data with industry-leading methodologies.

Tailored Solutions

Our customized approaches meet your unique business requirements, infrastructure, and goals.

Our Approach

Assessment and Planning

  • Setting the Stage for Success
    We analyze your database environment to identify migration goals like cost reduction and performance enhancement. Our tailored cloud strategy outlines the approach, timeline, and resources for a seamless transition to Azure, AWS, or Google Cloud.

Migration Strategy Design

  • Choosing the Best Path Forward
    We evaluate methods such as Lift-and-Shift, Re-platforming, or Refactoring to find the ideal fit for your needs. We select the right tools, like Azure Database Migration Service or AWS Database Migration Service, to ensure a smooth process.

Data Preparation and Pre-Migration

  • Cleaning Up for Clarity
    We cleanse your data to remove duplicates and errors, ensuring only valuable data is migrated. We map your database schema and dependencies to maintain integrity.

Migration Execution

  • Testing Before the Leap
    We conduct pilot migrations to validate data integrity and ensure minimal downtime before executing the full migration.

Post-Migration Validation and Optimization

  • Ensuring Accuracy and Performance
    After migration, we validate data accuracy and optimize performance through indexing and query tuning for efficient access.

Training and Support

  • Empowering Your Team
    We provide training sessions for your team and ongoing support to address issues, ensuring your database remains optimized and secure.

Industry Best Practices

Agile Methodology

We leverage Agile principles for a flexible, iterative migration process, enabling real-time adjustments that enhance efficiency and outcomes.

Data Governance

Our robust data governance practices ensure compliance and protect data integrity, minimizing risks and safeguarding your assets.

Comprehensive Documentation

We maintain clear and thorough documentation throughout the migration, providing a complete record of configurations and decisions for future reference.

Continuous Improvement

After migration, we focus on ongoing optimization, regularly reviewing your database environment to ensure it evolves with your business needs.

Customer Success Stories

Healthcare Provider Database Migration

We have successfully migrated a large healthcare provider’s on-premises database to Azure, improving data accessibility for clinical staff and enhancing data analytics capabilities. The migration led to a 30% reduction in operational costs and improved patient care through better data insights.

E-commerce Platform Scalability

A leading e-commerce platform partnered with us to migrate its database to AWS, resulting in a highly scalable solution that supported increased traffic during peak sales periods. The migration enabled real-time data analytics, leading to a 20% increase in sales during promotional events.

Financial Services Transformation

We have assisted a financial services firm in migrating its database to Google Cloud, ensuring compliance with regulatory requirements while enhancing security and data management capabilities. Post-migration, the firm reported improved data processing speed and reduced infrastructure costs by 40%.

Technologies We Use

Here are just a few examples of how WaferWire has delivered transformational data warehousing solutions:

  • Cloud Platforms:
  • ETL Tools:
  • Data Analytics:
  • Databases:

Accelerate Innovation with 6 Essential Database Migrations Shaping Tomorrow’s Digital Landscape

Oracle to
PostgreSQL

From: Oracle (on-premises or cloud)
To: PostgreSQL (cloud or on-prem) Reasons: Oracle’s licensing costs, vendor lock-in, and the need for open-source flexibility are pushing organizations to migrate to PostgreSQL. PostgreSQL is widely adopted due to its scalability, open-source nature, and support for complex queries. It is also a cost-effective alternative.
Industries: Finance, retail, and healthcare are among the key sectors adopting this migration.

SQL Server to Azure SQL Managed Instance

From: SQL Server (on-prem)
To: Azure SQL Managed Instance Reasons: Organizations using SQL Server on-premises are shifting to Azure for a fully managed database experience, reduced infrastructure management, and automatic backups and updates. Azure SQL Managed Instance offers compatibility with SQL Server while removing operational burdens.
Industries: Enterprises in manufacturing, technology, and services seeking cloud transformation.

MySQL to Amazon
Aurora

From: MySQL (self-hosted or cloud-based)
To: Amazon Aurora (AWS)
Reasons: MySQL users are migrating to Amazon Aurora for its cloud-native architecture, high availability, automated backups, and scalability. Aurora offers improved performance while maintaining MySQL compatibility.
Industries: E-commerce, media, and startups that require scalable and high-performance database solutions.

AWS RDS (MySQL) to
Google Cloud SQL

From: AWS RDS (MySQL)
To: AWS RDS (MySQL)
Reasons: Many organizations seek multi-cloud strategies or prefer Google Cloud’s integrations with analytics tools like BigQuery and Dataflow. Google Cloud SQL offers similar MySQL compatibility with advanced features for analytics integration.
Industries: Data-heavy industries like media, entertainment, and tech.

MongoDB to Azure Cosmos DB

From: MongoDB (on-prem or cloud-hosted)
To: Azure Cosmos DB (NoSQL, MongoDB API)
Reasons: MongoDB users are migrating to Cosmos DB for its globally distributed database capabilities, native integration with Azure services, and the ability to scale rapidly while supporting multiple APIs, including MongoDB.
Industries: Organizations focused on real-time data, IoT, and AI/ML applications.

IBM Db2 to
Snowflake

From: IBM Db2 (on-prem)
To: Snowflake (cloud data warehouse)
Reasons: Legacy systems like IBM Db2 are being replaced by cloud-native data warehouses like Snowflake due to its ease of use, scalability, and performance in handling large-scale analytics workloads. Snowflake also offers seamless integration with various cloud ecosystems.
Industries: Financial services, healthcare, and large enterprises undergoing digital transformation.

These migrations are driven by factors such as reducing operational costs, avoiding vendor lock-in, leveraging cloud scalability, and adopting modern architectures suited to big data and real-time analytics. Cloud providers like AWS, Azure, and Google Cloud have developed tools and services to facilitate these migrations, offering automation, cost savings, and better integration with their ecosystems.