AWS Database Blog

Category: AWS Schema Conversion Tool

Validating database objects after migration using AWS SCT and AWS DMS

Database migration can be a complicated task. It presents all the challenges of changing your software platform, understanding source data complexity, data loss checks, thoroughly testing existing functionality, comparing application performance, and validating your data. AWS provides several tools and services that provide a pre-migration checklist and migration assessments. You can use the AWS Schema […]

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Classify OLTP and OLAP workloads using AWS SCT with Workload Qualification Framework (WQF)

Migration is a multiphase process, and different steps are involved based on the type of migration you’re doing. With the help of AWS Schema Conversion Tool (AWS SCT) reports and involvement of partners, you can automate more than 50 percent of the work. However, another large percentage of work still is required. This is where […]

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AWS Schema Conversion Tool blog series: Introducing new features in build 617

We are excited to introduce a new version of the AWS Schema Conversion Tool (AWS SCT). This version includes support for table-valued function conversions, additional information in server-level assessment reports, and more. For those of you who are new to AWS SCT, this tool helps convert your existing database schema from one database engine to […]

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AWS Schema Conversion Tool introduces new features in build 616

We are excited to introduce a new version of AWS Schema Conversion Tool (AWS SCT) that includes support for PostgreSQL 10 partitioning, a new server-level Assessment Report, support for table-valued functions, and more. For those of you who are new to AWS SCT, this tool helps convert your existing database schema from one database engine […]

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AWS Database Migration Service and AWS Schema Conversion Tool now support IBM Db2 LUW as a source

Managing and operating relational databases is a basic piece of maintaining an effective business. Relational databases come in many flavors—commercial (Oracle, Microsoft SQL Server, IBM Db2, and so on) and open source (MySQL, PostgreSQL, and so on). With innovation and improvements in the open-source database world and cloud computing platforms like AWS, many enterprises are […]

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Introducing schema compare in AWS Schema Conversion Tool

The AWS Schema Conversion Tool (AWS SCT) makes your database migrations more predictable. It does this by automatically converting the source database schema and most of the database code objects to a format compatible with the target database. We’re excited to announce a new feature in AWS SCT to enable schema comparison and synchronization for […]

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Schema Conversion Tool blog series: Introducing new features in build 613

The AWS Schema Conversion Tool (AWS SCT) helps convert your existing database schema from one database engine to another. You can convert from a relational OLTP schema or any supported data warehouse OLAP schema to Amazon RDS (for example, Amazon Aurora MySQL or Amazon Aurora PostgreSQL, among others). You can also convert from a relational […]

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How the AWS Schema Conversion Tool Drove Trimble’s Database Migration Successes

By Todd Hofert, Director of Infrastructure Operations—FSM at Trimble Inc. The situation Recently, the Infrastructure Operations Group for Trimble’s Field Service Management division embarked on an aggressive initiative to migrate their privately hosted SaaS offerings to Amazon Web Services (AWS). The division faced the need for a hardware refresh, continuing cost reduction pressures, and a […]

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How to Migrate from MySQL to Amazon Aurora using AWS SCT and AWS DMS

MySQL is a great open-source database engine, which a lot of companies use because it’s cost-effective. However, like any other open-source database, it takes a lot of work to get commercial-grade performance out of it. As the size of your database increases, the complexity of scaling and crash recovery in MySQL also increases. Scaling out […]

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