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Architecting a Modern Data Lakehouse: Performance Testing Delta Lake on Databricks vs. Azure Synapse Analytics

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Performance Testing Delta Lake on Databricks vs. Azure Synapse Analytics

  • Use Case:

    Organizations want a single unified platform for real-time and batch data analytics.

    The use case is to evaluate performance, scalability, and cost efficiency of a modern Data Lakehouse architecture by comparing Delta Lake on Databricks with Azure Synapse Analytics for querying, ETL, and BI workloads.

Objective

  • To design and implement a modern data lakehouse architecture.

    To benchmark performance of Delta Lake on Databricks vs. Azure Synapse Analytics for:

    Large-scale data ingestion.

    Complex queries and transformations.

    BI dashboard integration.

    To evaluate cost, latency, and scalability trade-offs between both systems.

    To provide recommendations for when to use Databricks Delta Lake vs. Synapse Analytics depending on workload.

Project Description

  • Data Ingestion :

    Stream IoT, clickstream, or enterprise logs into Azure Data Lake Storage (ADLS Gen2).

    Store raw data in Delta Lake (Databricks) and partitioned tables in Synapse Analytics.

Processing Layer

  • Use Databricks with Delta Lake for big data processing, ML feature engineering, and real-time analytics.

    Use Azure Synapse Analytics (serverless / dedicated pools) for SQL-based analytics and BI queries.

Performance Testing

  • Run TPC-DS style benchmark queries across both platforms.

    Measure query execution time, concurrency, throughput, and cost efficiency.

Visualization & Reporting

  • Connect outputs to Power BI dashboards for performance comparison visualization.

Monitoring & Governance

  • Implement Azure Monitor and Azure Purview for monitoring, lineage, and governance.
  • Azure Services and Technologies :
    Component Purpose
    Centralized Data Storage Azure Data Lake Storage (ADLS Gen2)
    Lakehouse Engine Azure Databricks (Delta Lake)
    Data Reliability Delta Lake (ACID transactions, schema enforcement, time-travel)
    Data Warehousing & BI Queries Azure Synapse Analytics (Serverless/Dedicated SQL Pools)
    ETL/ELT Orchestration Azure Data Factory
    Visualization & Dashboards Power BI
    Monitoring & Logging Azure Monitor & Application Insights
    Data Governance Azure Purview