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Wakeup Flower
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File Gateway Vs DataSync Vs DMS

Feature / Service AWS File Gateway AWS DataSync AWS DMS (Database Migration Service)
What it is Hybrid cloud file gateway for on-prem → AWS High-speed data transfer service Managed service for database migration & replication
Data type Files (NFS, SMB) → stored as S3 objects Files & objects (NFS, SMB, HDFS, object stores, AWS services) Structured data (databases, schemas, tables)
Typical use case Ongoing hybrid storage: apps write to a file share, data lands in S3 Bulk/recurring transfer of large file datasets (TB–PB) to AWS or between AWS services/regions Migrate relational/NoSQL databases to AWS with minimal downtime
On-premises support Yes (acts like a local file server) Yes (agent deployed on-premises) Yes (connects to on-prem DBs)
AWS-to-AWS transfers ❌ Not really (only works with S3 backend) ✅ Yes (S3↔S3, S3↔EFS, EFS↔FSx, cross-region, cross-account) ✅ Yes (RDS↔RDS, cross-region DB replication, cross-account DB migration)
Protocols supported SMB, NFS SMB, NFS, HDFS, object APIs, AWS APIs DB-native protocols (SQL, JDBC/ODBC)
Ongoing replication ✅ Continuous (files cached locally + synced to S3) ✅ Scheduled or continuous sync ✅ Continuous replication with CDC (Change Data Capture)
Best for Hybrid file access + transparent cloud archiving High-throughput migrations of unstructured data (files, objects) Migrating/replicating databases with minimal downtime
Not good for One-time bulk migrations Structured DB data File/object storage migration

File Gateway → best if you want apps to keep using file shares but store data in S3 transparently.

DataSync → best if you want to migrate/sync large-scale file datasets (on-prem ↔ AWS or AWS ↔ AWS).

DMS → best if you need to migrate databases (Oracle, MySQL, PostgreSQL, SQL Server, MongoDB, etc.) with schema + ongoing replication.

👉 Together, they cover most migration needs:

File Gateway = hybrid ongoing file access

DataSync = bulk/periodic unstructured data migration

DMS = structured database migration

🔹 AWS DataSync

Purpose: File-level or object-level data transfer.

Source/Target: On-premises storage (NFS, SMB, HDFS, object stores) and AWS storage services (S3, EFS, FSx).

Use cases:

Migrate file shares into AWS.

Move petabytes of files across AWS services/regions.

Periodic sync of file-based data.

Not for structured databases (it doesn’t understand schemas, tables, SQL).

🔹 AWS DMS (Database Migration Service)

Purpose: Migrate and replicate databases.

Source/Target:

Relational databases (MySQL, PostgreSQL, Oracle, SQL Server, MariaDB, Aurora, etc.)

Some NoSQL (MongoDB, DynamoDB).

Data warehouses (Redshift, Snowflake via partners).

Use cases:

Lift-and-shift database migration into AWS.

Cross-region or cross-account replication of databases.

Schema conversion + ongoing replication (for heterogeneous migrations with AWS SCT).

Key feature: Supports CDC (Change Data Capture) — keeps the target DB in sync with the source until cutover.

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