AWS Schema Conversion Tool

AWS Schema Conversion Tool (SCT) converts database schemas across engines and helps plan supported migrations. It suits teams moving relational, data-warehouse, or NoSQL workloads into AWS destinations, especially when engineers want local project control. Its strongest case is a broad set of conversion and assessment utilities at no software charge; it is not a continuous-replication platform or an all-purpose workload mover.

Overview

SCT converts schemas for relational OLTP systems, data warehouses, and NoSQL databases. When an automatic conversion is not possible, it provides guidance for building an equivalent schema on the target. That makes it useful for mixed-compatibility projects, although the manual work still belongs to the migration team.

A project wizard estimates migration complexity for supported destinations and creates a report for comparing target options. The standalone, project-based application stores planned converted schemas locally until they are applied, providing a practical staging step. A command-line tool is also available, and AWS supplies checksum and signature procedures for verifying the compressed download.

Key features

For warehouse migrations to Amazon Redshift, SCT manages data-extraction agents. It can also create, run, and monitor AWS Database Migration Service endpoints and tasks. These capabilities consolidate important steps in supported AWS workflows, but the product does not offer continuous replication.

SCT converts SQL embedded in C++, C#, Java, and other application code. Teams can review, edit, and save the resulting SQL, which is valuable when a database change must be reflected in application logic rather than schemas alone.

Workload conversions cover SSIS packages to AWS Glue or AWS Glue Studio, Teradata workloads to Redshift RSQL or AWS Glue, and Apache Oozie to AWS Step Functions. These targeted paths can shorten modernization projects built around those technologies; they do not imply coverage for every ETL or big-data stack.

Supported integrations include Amazon RDS, Aurora, Redshift, S3, DynamoDB, AWS DMS, AWS Glue, AWS Lambda, and AWS Step Functions. Connections to Amazon S3 or another AWS resource can use FIPS standards, and SCT is FedRAMP compliant, making its security posture more suitable for regulated AWS environments.

Pricing

AWS Schema Conversion Tool — free (billed Free tool; 64-bit Windows, Fedora Linux, or Ubuntu Linux).

There is no paid tier, renewal, seat charge, or trial period to weigh. The free tool includes discovery and assessment and supports database migration workflows. Its practical cost is the engineering time required when conversions need manual guidance, plus any separate AWS infrastructure or services used by the resulting workflow.

Platforms

SCT is self-hosted and runs on 64-bit Microsoft Windows, Fedora Linux, and Ubuntu Linux. It is available as both a standalone application and a command-line tool. Organizations needing macOS, browser-only operation, or another Linux distribution should look elsewhere.

Who it's for

SCT is a strong fit for database teams planning a move among supported engines, AWS architects comparing destination complexity, and engineers modernizing SSIS, Teradata, or Oozie workloads into AWS services. It is also useful when application SQL must be adapted alongside a schema.

It is a poor fit for teams seeking a managed, always-on replication service, broad operating-system coverage, or a migration product focused on whole servers and applications rather than database conversion.

Pros and cons

Pros

• Broad database scope: Relational OLTP, warehouse, and NoSQL schema conversion covers more than a single database family.
• Assessment before migration: Complexity estimates and comparison reports help teams judge supported destinations before committing.
• Workflow depth: Extraction agents, AWS DMS task management, application-SQL conversion, and selected ETL conversions reduce tool switching.
• No software charge: The sole plan costs 0.00 USD, with discovery, assessment, and database migration capabilities included.
• Regulated-workload support: FIPS-capable AWS connections and FedRAMP compliance suit controlled environments.

Cons

• No continuous replication: SCT cannot replace a service designed for ongoing change-data movement.
• Conversion boundaries: Unsupported or non-automated work requires engineers to create and validate equivalent schemas.
• Restricted platform choice: Only 64-bit Windows, Fedora Linux, and Ubuntu Linux are supported.
• AWS-centered workflows: Its integrations and named conversion paths favor AWS destinations and supported technologies.

Alternatives

For server-level moves with a 90-day free period per source server, choose AWS Transform MGN (formerly AWS Application Migration Service) instead.

Choose Google Cloud Migration Center for free migration assessments and cost estimates when Google Cloud is the intended environment.

Google Compute Engine is a freemium compute platform with a free tier and trial, rather than a schema-conversion specialist.

Choose Tencent Cloud Cloud Migration Service for Tencent-oriented migration tooling, with migration resources and ongoing services charged separately.

Amazon Database Migration Service is the more direct choice for managed database movement, with AWS credits available under its free tier.

Choose Google Migrate to Containers when the goal is moving workloads into Google Cloud containers.

Ora2Pg is free GPL v3 software focused on Oracle-to-PostgreSQL migration.

pgloader is a free community option for supported database-loading work on Linux or self-hosted systems.

See the Cloud Migration Tools list for more options.

Verdict

AWS SCT is the right choice for teams converting supported database schemas into AWS workflows while also needing migration assessment, application-SQL conversion, or selected ETL modernization. Its zero software price and local, scriptable operation are compelling. Look elsewhere when continuous replication, whole-application migration, or an unsupported operating system is the central requirement.