ETL

ETL Solution	Type	Key Features	Best For	Scalability	Ease of Use
AWS Glue	Fully managed ETL service	Serverless, auto-scaling, visual ETL job creation	Large-scale data integration, data catalog	Automatic	High
AWS Data Pipeline	Web service for data-driven workflows	Supports on-premises and cloud-based data sources, scheduling	Complex, multi-step data workflows	Manual	Medium
Amazon EMR (Elastic MapReduce)	Big data platform	Supports various frameworks (Spark, Hive, etc.), can be used for ETL	Large-scale data processing and ETL	Manual	Low (requires expertise)
AWS Batch	Fully managed batch computing service	Can be used for ETL jobs, integrates with other AWS services	Batch ETL jobs, especially compute-intensive ones	Automatic	Medium
AWS Step Functions	Serverless workflow service	Can orchestrate ETL processes using other AWS services	Complex ETL workflows, especially those involving multiple services	Automatic	Medium
Amazon Redshift	Data warehouse with ETL capabilities	COPY command for data loading, stored procedures for transformations	Large-scale data warehousing with built-in ETL	Manual	Medium
AWS Lambda	Serverless compute service	Can be used for lightweight ETL tasks	Small to medium-scale ETL, event-driven data processing	Automatic	High
Amazon DMS (Database Migration Service)	Database and data warehouse migration service	Can be used for ongoing replication, supports heterogeneous migrations	Database migrations, continuous data replication	Automatic	High
AWS Lake Formation	Data lake service	Automates many tasks in setting up a data lake, including data ingestion	Building, securing, and managing data lakes	Automatic	High
Amazon AppFlow	Fully managed integration service	Connects SaaS apps and AWS services	SaaS data integration, no-code ETL for business users	Automatic	Very High
AWS Transfer Family	Managed file transfer service	Can be part of ETL processes involving file transfers	Secure file-based ETL workflows	Manual	Medium
Amazon EventBridge Pipes	Event-driven pipe service	Connects event producers to consumers with optional transform	Real-time ETL, event-driven architectures	Automatic	High

AWS Glue VS AWS Data Pipeline

Glue replaces AWS Data Pipeline.

The diagram below shows how:

1. Glue provides a more integrated, serverless approach

2. Data Pipeline requires more manual configuration

3. Glue's Data Catalog provides central metadata management

4. Both can access the same data sources, but Glue offers more built-in capabilities