AWS Partner Network (APN) Blog

Tag: AWS Schema Conversion Tool

Fujitsu-APN-Blog-021423

Optimizing AWS Database Migration Service for Oracle to PostgreSQL with Fujitsu

Migrating a company’s database architecture from an on-premises database to the cloud can be a complicated and time-consuming process. One of the critical decisions is the choice of tooling to deliver the migration, and how to get the best out of the selected tool. This post discusses key learnings and experiences Fujitsu has gained through its use of AWS Database Migration Service (AWS DMS) during database migration projects, primarily from Oracle-to-PostgreSQL migrations.

Modernizing Data Assets from an On-Premises Data Warehouse to Amazon Redshift

Most enterprise customers are trying to migrate their on-premises data warehouse from Oracle or other on-premises solutions to Amazon Redshift. Learn how TEKsystems strives to put forth a series of tools, technologies, and methodologies to meet customers in their current AWS cloud journey path. With a phased migration approach, TEKsystems’s customer realized immediate savings moving off an on-premises data warehouse while running its current applications against Amazon Redshift through partner solutions.

Cloudreach-APN-Blog-081822

Step-By-Step AWS Database Migration Made Easy by Cloudreach

Migrating a database to a new platform is a significant event in an application’s lifecycle. The process can impact performance, availability, and reliability to a large extent. With Cloudreach, customers will see benefits from lower cost of migration, optimization and modernization, lower administrative burden to operate core databases, and confidence in the approach and technologies used to execute the most stressful part of an infrastructure change.

Futuralis-APN-Blog-031522

Migrating 50,000 MySQL Databases to Amazon Aurora with Futuralis

Large-scale database migrations are difficult, have multiple phases, and are time-consuming. Customers want a simpler way to achieve large-scale migration with little to no downtime. Learn how Futuralis helped their customer migrate more than 50,000 MySQL databases hosted on an Amazon EC2 server to Amazon Aurora relational database using AWS and native MySQL tools. The customer had MySQL version 5.5 hosted on EC2 with more than 50,000 databases with 1.5 million tables and hundreds of millions of records.

Contino-AWS-Partners

How Contino Helped Modernize a Multi-Tier Web Application from On-Premises to Containers Running on AWS

A Fortune 500 customer asked Contino, an AWS Premier Consulting Partner, to assist with the migration of an internal-facing, traditional line of business. They wanted to migrate a three-tier web application onto AWS to satisfy key business metrics around resiliency and availability. Learn how Contino helped modernize this multi-tier web application from being hosted in the customer’s data center to running on AWS.

Infosys-AWS-Partners

Migrating Netezza Workloads to AWS Using Amazon EMR and Amazon Redshift

Data warehouse modernization has been a key aspect of many customers’ broader cloud transformation stories. Legacy data warehouse systems, however, present many challenges when dealing with today’s enterprise data needs. Learn how AWS and Infosys collaborated to transform a legacy Netezza platform on AWS for a large retail customer. With Infosys tools, processes, and industry knowledge, the collaboration between AWS and Infosys enables customers to transform their analytics platforms.

Mactores-AWS-Partners

How Mactores Tripled Performance by Migrating from Oracle to Amazon Redshift with Zero Downtime

Mactores used a five-step approach to migrate, with zero downtime, a large manufacturing company from an Oracle on-premises data warehouse to Amazon Redshift. The result was lower total cost of ownership and triple the performance for dependent business processes and reports. The migration tripled the customer’s performance of reports, dashboards, and business processes, and lowered TCO by 30 percent. Data refresh rates dropped from 48 hours to three hours.