Anshuman-02905

Layer	AWS	Azure / Fabric	Role
Data Lake	S3	OneLake	Store raw & curated data
Query Engine	Athena / Redshift	Fabric SQL Engine	Interactive querying
Governance	Lake Formation	Purview	Secure access & lineage
BI Tool	QuickSight	Power BI	Visualize and share insights

Anshuman-02905

Capability	AWS Stack	Azure / Fabric Stack
Data Lake Storage	S3	OneLake (ADLS Gen2 under the hood)
Ad-hoc SQL Querying	Athena	Fabric SQL Endpoint / Synapse Serverless
Data Warehouse	Redshift	Fabric Warehouse / Synapse Dedicated Pool
Governance & Security	Lake Formation + Glue Catalog	Purview
BI & Dashboards	QuickSight	Power BI

Anshuman-02905

Service	Purpose	Key Highlights
Amazon Athena	Serverless SQL querying directly on data lakes	Query data in Amazon S3 using standard SQL. Pay only for scanned data. Ideal for ad-hoc exploration, data validation, or feeding BI dashboards. Integrates with Glue Catalog for schema metadata.
Amazon Redshift	Cloud data warehouse for analytics	MPP-based (massively parallel) SQL engine optimized for analytical workloads. Supports columnar storage, compression, and fede

Anshuman-02905

Layer	AWS Tool	Azure Equivalent	Analogy
Workflow Engine	Step Functions	ADF Control Flow	"Director" – tells everyone when to act
Job Scheduler	MWAA	Fabric Pipelines	"Assistant Director" – manages dependencies
Monitoring	CloudWatch	Azure Monitor	"Camera Crew" – records everything that happens
Alerts & Notifications	SNS + EventBridge	Logic Apps + Event Grid	"Stage Manager" – alerts when something goes wrong

Anshuman-02905

Capability	AWS Stack	Azure Stack
Visual Pipeline Orchestration	Step Functions / Glue Workflows	Azure Data Factory (ADF)
Code-based DAG Orchestration	MWAA (Apache Airflow)	Fabric Pipelines / Synapse Pipelines
Event-driven Automation	EventBridge + Step Functions	Logic Apps + Event Grid
Monitoring & Metrics	CloudWatch	Azure Monitor
Logging & Telemetry	CloudWatch Logs, X-Ray	Log Analytics, Application Insights
Governance & Lineage	CloudTrail + Lake Formation	Purview

Anshuman-02905

Service	Purpose	Key Highlights
Azure Data Factory (ADF)	Primary Data Orchestrator	The powerhouse for orchestrating ingestion, transformation, and loading across hybrid and cloud data systems. Equivalent to Step Functions + MWAA combined. Supports dependency chaining, conditional logic, triggers, parameters, and CI/CD integration.

Anshuman-02905

Service	Purpose	Key Highlights
AWS Step Functions	Workflow Orchestration	Serverless workflow engine to chain Lambda, Glue Jobs, EMR steps, ECS tasks, or any API call. Supports branching, retries, error handling, and parallel execution. Equivalent to ADF pipelines.
AWS Managed Workflows for Apache Airflow (MWAA)	Data Pipeline Orchestration (Python DAGs)	Fully managed Apache Airflow. Ideal for co

Anshuman-02905

Capability	AWS Service	Azure Equivalent	Notes
Data Lake Storage	S3	ADLS Gen2	Core storage for raw → curated data
Data Warehouse	Redshift	Synapse (Dedicated)	MPP engine for structured analytics
Serverless Querying	Athena	Synapse Serverless	Query directly on data lake
Catalog & Governance	Lake Formation + Glue Catalog	Purview / Unity Catalog	Fine-grained security, metadata lineage

Anshuman-02905

Scenario	Best AWS Service	Azure Equivalent
Metadata-driven, serverless ETL	Glue	ADF Data Flows
Heavy Spark-based transformation	EMR	Databricks
Small real-time transformations	Lambda	Functions
Multi-step workflow orchestration	Step Functions	ADF Pipelines

Anshuman-02905

Step	Service	Purpose	Azure Counterpart
1️⃣	AWS Glue	Serverless ETL with PySpark	ADF Mapping Data Flows
2️⃣	Amazon EMR	Scalable, managed Spark/Hive clusters	Azure Databricks
3️⃣	AWS Lambda	Event-driven or micro-transformations	Azure Functions
4️⃣	Step Functions (optional)	Pipeline orchestration & retries	ADF Pipelines / Logic Apps