cloud migration
Lift and Shift Refactor Modernization

Lift and Shift

Refactor

Modernization

Quickly migrate existing workloads with a lift and shift methodology:

  • Remove the burden of managing on-premise infrastructure
  • Realize scale and availability with limited changes to applications or code

Refactor and redesign workloads to take advantage of the cloud:

  • Leverage Analytics and AI
  • Reduce Metadata Management
  • Consolidate DB Instances

Rearchitect, get up and running quickly with our migration accelerators:

  • Exadata
  • Netezza
  • Oracle

Dream BigQuery. SpringML brings reality

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Agile approach delivered with tough love.

SpringML exists to bring about desired client data-driven outcomes by combining road-tested methodologies, vast technology and business process expertise, and Google Cloud solutions – in the most efficient, cost effective and speedy way possible without sacrificing quality

We are agile, iterative, truthful and transparent, and strive to be your trusted advisor focused solely on whats best for your business.

Lightning speed to migration

SpringML offers a different migration factory experience based on proven processes, frameworks and accelerators coupled with rapid, iterative sprints to produce immediate value. Our project managers and cloud experts run projects efficiently – we never artificially bloat projects. Our only goal is to deliver a comprehensive, cost-effective, accelerated migration so you get the full value of Cloud-native tools and architecture.

Iron-Mountain

“The completion of the first MVP has helped us establish governance and data stewardship, build the enterprise data platform foundation, and provided our leadership the art of the possible analytics.”
Hayelom Tadesse | Director, Enterprise Data Product Management at Iron Mountain

Iron Mountain achieved a massive database consolidation and cloud migration project in just weeks. Together we reduced license and overhead costs while improving data management visibility across a complex global organization.

 Harish Kuram Harish Kuram

Technical Project Manager working with Iron Mountain to drive adoption of Looker and Google Cloud.

Masaf DawoodMasaf Dawood

SpringML Director of Cloud Services says, “The journey to the cloud starts with assessments."

Digital-river

“SpringML helped us design and re-platform our Microstrategy environment to Google Cloud.”
– Digital River

Digital River wanted to modernize and move infrastructure to the cloud. We helped them achieve two strategic objectives: Reduce cost of legacy architecture and prepare for machine learning projects.

PRABHU Eric Clark

Technical Project Manager supporting customers on their data-driven journey to the cloud.

Kroger

“We helped Kroger set up a BigQuery Data Lake with scalability, reliability and repeatability. We established best practices for data ingestion and data modeling, providing a blueprint for setting up complex data lakes in the cloud.”
– SpringML

Kroger historically relied on an on-premise big data platform. We created a cloud data lake to help them keep pace with rapidly expanding data volumes and processing requirements.

Prabhu Palanisamy Prabhu Palanisamy

Prabhu Palanismay, helping customers create a unique data-driven digital transformation path with cloud, analytics AI & ML

Flexible Pathways

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Meet our migration team

Steve Sorek, President and Chief Strategy Officer
Steve Sorek
Director, Google Cloud Services
Masaf Dawood
Masaf Dawood
Director Cloud Services
Eric Clark
Eric Clark
Technical Project Manager

Before and After - Outcomes with SpringML

Tell us about your migration project