Unleash Analytics Across Any Cloud
Design modern lakehouse architectures that enable real-time analytics, machine learning, and BI across leading cloud platforms
Microsoft Fabric
(Data & Analytics Platform)
- Unified Analytics Platform
Combines data engineering, data science, real-time analytics, and BI in a single SaaS environment - OneLake Storage
Centralized lakehouse storage layer enabling Delta tables and unified governance across workloads - Lakehouse + Warehouse
Supports both Spark-based lakehouse processing and SQL-based enterprise data warehousing - Native Power BI Integration
Direct semantic modeling and reporting with minimal data movement - End-to-End Data Pipelines
Built-in orchestration, ingestion, transformation, and monitoring capabilities
Databricks
(Unified Lakehouse Platform)
- Lakehouse Architecture
Combines data lake flexibility with data warehouse performance using Delta Lake - Apache Spark Engine
Distributed processing for large-scale batch and streaming analytics workloads - Delta Lake Storage Layer
ACID transactions, schema enforcement, and time travel on data lakes - Unified Data & AI Workspace
Collaborative notebooks and pipelines for data engineering, analytics, and ML - Medallion Architecture Support
Bronze, Silver, Gold layers for structured data engineering pipelines
Snowflake
(Cloud Data Platform)
- Cloud-Native Data Warehouse
Decoupled storage and compute for elastic scaling of analytics workloads - Multi-Cloud Deployment
Runs on AWS, Azure, and GCP with a consistent platform experience - Secure Data Sharing
Enables governed cross-organization data collaboration without copying datasets - Semi-Structured Data Support
Native processing of JSON, Avro, and Parquet within SQL queries - High Concurrency Analytics
Independent virtual warehouses allow simultaneous workloads without contention
AWS
(Data & Analytics Ecosystem)
- Scalable Data Lake
Amazon S3 as the core storage layer for structured and unstructured data - Cloud Data Warehouse
Amazon Redshift for large-scale SQL analytics and BI workloads - Serverless Query Engines
Amazon Athena enables SQL querying directly on data lakes - ETL & Data Integration
AWS Glue provides serverless data cataloging, transformation, and pipelines - Streaming Analytics
Kinesis supports real-time ingestion and processing of event streams
Google Cloud Platform
(Data & Analytics Stack)
- BigQuery Data Warehouse
Serverless, massively scalable analytical SQL engine for large datasets - Dataflow Processing
Managed Apache Beam pipelines for batch and streaming data processing - Unified Data Lake
Cloud Storage + BigLake enable open lakehouse architectures across structured and unstructured data - Real-Time Streaming
Pub/Sub and Dataflow support real-time event ingestion and analytics - Integrated ML & AI
BigQuery ML and Vertex AI allow analytics and machine learning directly on analytical datasets
