# AWS Database Migration Service

Published articles for AWS Database Migration Service.

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## SQL Server to Aurora PostgreSQL conversion with AI agents for AWS DMS

DevFeed: [SQL Server to Aurora PostgreSQL conversion with AI agents for AWS DMS](<https://devfeed.tech/articles/sql-server-to-aurora-postgresql-conversion-with-ai-agents-for-aws-dms-4711.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/database/sql-server-to-aurora-postgresql-conversion-with-ai-agents-for-aws-dms/>)

Author: Mayur Aggarwal

Published: 2026-09-01T15:19:13Z

Content type: tutorial

Language: en

Sources: [AWS Database Blog](<https://devfeed.tech/sources/aws-database-blog.md>)

Topics: [AWS Database Migration Service](<https://devfeed.tech/topics/aws-database-migration-service.md>), [sql-server](<https://devfeed.tech/topics/sql-server.md>), [Database Migration](<https://devfeed.tech/topics/database-migration.md>), [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [Databases](<https://devfeed.tech/topics/databases.md>)

Tags: [advanced-300](<https://devfeed.tech/tags/advanced-300.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [amazon-aurora](<https://devfeed.tech/tags/amazon-aurora.md>), [aws-database-migration-service](<https://devfeed.tech/tags/aws-database-migration-service.md>), [database-migration](<https://devfeed.tech/tags/database-migration.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [postgresql](<https://devfeed.tech/tags/postgresql.md>), [technical-how-to](<https://devfeed.tech/tags/technical-how-to.md>)

### AI overview

Tutorial on using AI agents with AWS DMS Schema Conversion to convert SQL Server schemas to Aurora PostgreSQL through natural-language workflows.

### Source excerpt

Learn how to use AI agents with AWS DMS Schema Conversion to orchestrate SQL Server to Amazon Aurora PostgreSQL schema conversion through natural language. See how the conversion engine processes T-SQL, how the agent drives the workflow, and how to interpret and resolve CRITICAL action items using decision frameworks for common incompatibilities.

## Migrate Oracle Materialized Views with AWS DMS and Fast Refresh

DevFeed: [Migrate Oracle Materialized Views with AWS DMS and Fast Refresh](<https://devfeed.tech/articles/migrate-oracle-materialized-views-with-aws-dms-and-fast-refresh-4705.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/database/migrate-oracle-materialized-views-with-aws-dms-and-fast-refresh/>)

Author: Abhilash Negi

Published: 2026-08-18T16:36:11Z

Content type: tutorial

Language: en

Sources: [AWS Database Blog](<https://devfeed.tech/sources/aws-database-blog.md>)

Topics: [AWS Database Migration Service](<https://devfeed.tech/topics/aws-database-migration-service.md>), [migration](<https://devfeed.tech/topics/migration.md>)

Tags: [advanced-300](<https://devfeed.tech/tags/advanced-300.md>), [analytics](<https://devfeed.tech/tags/analytics.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [aws](<https://devfeed.tech/tags/aws.md>), [aws-database-migration-service](<https://devfeed.tech/tags/aws-database-migration-service.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [data](<https://devfeed.tech/tags/data.md>), [database](<https://devfeed.tech/tags/database.md>), [database-migration](<https://devfeed.tech/tags/database-migration.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [latency](<https://devfeed.tech/tags/latency.md>), [logs](<https://devfeed.tech/tags/logs.md>), [migration](<https://devfeed.tech/tags/migration.md>), [oracle](<https://devfeed.tech/tags/oracle.md>), [performance](<https://devfeed.tech/tags/performance.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [replication](<https://devfeed.tech/tags/replication.md>), [technical-how-to](<https://devfeed.tech/tags/technical-how-to.md>), [testing](<https://devfeed.tech/tags/testing.md>), [validation](<https://devfeed.tech/tags/validation.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

### AI overview

A tutorial for configuring Oracle materialized views with Fast Refresh and materialized view logs so AWS DMS can replicate incremental CDC changes instead of complete refreshes.

### Source excerpt

Learn how to configure Oracle Materialized Views with Fast Refresh and materialized view logs to enable efficient, incremental AWS DMS change data capture (CDC) replication. This approach eliminates full-reload overhead and achieves near real-time migration of large, multi-table joined views to AWS.

## Rustic Witcher: Reimagining data anonymization

DevFeed: [Rustic Witcher: Reimagining data anonymization](<https://devfeed.tech/articles/rustic-witcher-reimagining-data-anonymization-23707.md>)

Original publisher: [Read original article](<https://engineering.theblueground.com/rustic-witcher-reimagining-data-anonymization/>)

Author: Pavlos Petros Tournaris

Published: 2024-07-01T11:10:44Z

Content type: article

Language: en

Sources: [Blueground Engineering blog](<https://devfeed.tech/sources/blueground-engineering-blog.md>)

Topics: [data](<https://devfeed.tech/topics/data.md>), [pii](<https://devfeed.tech/topics/pii.md>), [AWS Database Migration Service](<https://devfeed.tech/topics/aws-database-migration-service.md>), [Rust](<https://devfeed.tech/topics/rust.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Amazon S3](<https://devfeed.tech/topics/amazon-s3.md>), [Kafka](<https://devfeed.tech/topics/kafka.md>), [Microservices](<https://devfeed.tech/topics/microservices.md>), [Testing](<https://devfeed.tech/topics/testing.md>)

Tags: [aws-database-migration-service](<https://devfeed.tech/tags/aws-database-migration-service.md>), [data](<https://devfeed.tech/tags/data.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [debezium](<https://devfeed.tech/tags/debezium.md>), [kafka](<https://devfeed.tech/tags/kafka.md>), [microservices](<https://devfeed.tech/tags/microservices.md>), [pii](<https://devfeed.tech/tags/pii.md>), [rust](<https://devfeed.tech/tags/rust.md>), [s3](<https://devfeed.tech/tags/s3.md>), [testing](<https://devfeed.tech/tags/testing.md>)

### AI overview

Blueground describes replacing an increasingly slow production-data de-identification pipeline with Rustic Witcher, an internal Rust tool designed to support growing data volumes and database counts. The existing process used Debezium, Kafka, temporary Postgres storage, and S3, while the proposed approach considers AWS Database Migration Service exports as its input.

### Source excerpt

At Blueground, the majority of our services require data for testing end-to-end user journeys, whether client-facing or operational. Consequently, we need to de-identify PII from production data to provide our engineers with realistic datasets. This approach ensures our pre-production systems mirror the behavior of production