Accelerated migration to Databricks

With LeapLogic, your transformation to Databricks will happen faster, with more accuracy, thanks to superior analysis, automation, and validation

    We use the information provided in accordance with our privacy policy.

    Explore the transformation potential in your business

    / Assessment
    • Say yes to key questions
    • Can I identify anti-patterns in my existing code and resolve them as per Databricks Lakehouse coding techniques and standards?
    • Will it make sense to design my future-state architecture using all cloud-native services (for orchestrating, monitoring, etc.)?
    • Will I know if I can meet my SLAs through Databricks Lakehouse or if I need cloud-native warehouses?
    • Data warehouse
    • Can I get schema optimization recommendations for partitioning, bucketing, clustering, etc.?
    • ETL
    • Will my ETL processing SLAs impact my choice for an optimum Databricks cluster size?
    • Can I save provisioning and maintenance costs for rarely used workloads on Databricks?
    • Hadoop
    • Is my optimization strategy for Update/Merge on Databricks apt?
    / transformation
    • Packaging and orchestration using Databricks-native wrappers
    • Intelligent transformation engine, delivering up to 95% automation for:
    • Databricks Lakehouse on AWS/Azure/GCP
    • ETL – Databricks Lakehouse on AWS/Azure/GCP, PySpark/Scala + Spark
    • Databricks Lakehouse on AWS/Azure/GCP, Presto query engine
    / validation
    • All transformed data warehouse, ETL, analytics, and/or Hadoop workloads
    • Business logic (with a high degree of automation)
    • Cell-by-cell validation
    • Integration testing on enterprise datasets
    / operationalization
    • Capacity planning for optimal cost-performance ratio
    • Performance optimization
    • Robust cutover planning
    • Infrastructure as code
    • CI/CD
    • Provisioning of Databricks Lakehouse and other required services



    Watch LeapLogic in action

    Automated workload transformation from Informatica to Databricks

    Automated workload transformation from Teradata to Databricks

    Automated workload transformation from SAS to Databricks


    Explore resources to support your transformation initiatives


    30% performance improvement by converting Netezza and Informatica to Azure-Databricks stack


    20% SLA improvement by modernizing Teradata workloads on Azure


    Accelerate your data estate modernization journey


    Learn more about these benefits and best practices for cloud-native transformation