Our promise

    Secure, risk-free migration

    with 80%+ savings

    Mainframe migrations often result in failure, with over 74% experiencing setbacks, causing significant financial strain and hindering AI & ML progress.
    Our unique groundbreaking approach enables gradual migration of specific mainframe jobs ensuring 100% success rate while slashing infra costs.
    Our unique groundbreaking approach enables gradual migration of specific mainframe jobs ensuring 100% success rate while slashing infra costs.

    Empower Decisions, Unlock Insights and Accelerate Progress

    Key

    Benefits

    Hybrid ConnectivityMulti-cloud,

    Seamless bi-directional data transfer: Mainframe to Cloud, On-Prem, and Hybrid environments.
    Supports Data Warehouse of your choice - BigQuery, SnowFlake, Hive, Spark, Druid and Presto.

    Dual OperationsDe-risk with

    Run parallel JCL jobs on both your existing Mainframe and Cloud or Hybrid environments. Choose and migrate group of Mainframe jobs.

    costSave

    Jobs running on Cloud Compute save MIPS. Our unique approach runs jobs on the zIIP processor on the Mainframe, resulting in over 80% cost savings

    Analytics and AI potentialUnleash

    Deep dive into Analytics and unleash the power of AI once the data is migrated to Cloud or On-Prem. Get an unfair competitive advantage

    MigrationData

    The Multi-Cloud Connector can be used to migrate from Teradata, DB2, or IMS to Cloud Databases like BigQuery, SnowFlake, Hive, Spark, Presto, and Druid.

    Case Study

    Data Migrated
    10 PB
    Data Migrated
    Migrated 10PB of Teradata to the Cloud resulting in $79M savings/year
    Saved
    5000 MIPS
    Saved
    Eliminated 5000 MIPS, using remote Cloud VM resulting in $20 M savings/year
    Saved
    $297 Million
    Saved
    Achieved total savings of $99 M/year translating into $297 M over 3 years

    Start the 100% risk-free migration journey today

    We can prove the risk free, staggered migration with a demo

    Get Started Now

    Our

    Prominent Customers

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    Frequently Asked Questions

    Support

    Frequently Asked Questions

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    Get in Touch

    The timeline for a mainframe migration varies depends on various factors. Smaller, less complex projects might take a few months, while larger, more intricate ones could require a year or more.

    Three key pillars support successful mainframe migration: 1. Set clear goals and scope: define what you want to achieve (cost efficiency, increased agility, etc.) to guide the migration strategy. 2. Plan meticulously: assess your environment, choose the right approach based on application complexity and desired outcomes, and identify data for migration. 3. Secure expertise and resources: assemble a skilled team and partner with professionals experienced in mainframe, cloud, and data security.

    Navigating the complexities of legacy systems and their intricate code demands expertise and careful understanding. Migrating data successfully, ensuring its integrity, security, and compatibility with the new environment, presents another significant challenge.

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