Data Modernization

cloud migration
Lift and Shift Refactor Modernization

Lift and Shift



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

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


Digital River

Kroger Case Study



“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.


“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.


“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.

Download our solution overview to learn how SpringML takes data modernization projects from idealization to industrialization with a low-touch but high-intensity approach. Our friction-less and non-invasive assessments and four-stage migration framework provide a different Migration Factory experience.


In this eBook find out how we make Database Migrations an enabler for innovation, machine learning, and data democratization. Our Migration Factory provides friction-less non-invasive assessments, rapid prototyping and project sprints driven by lean and agile teams that ensure your project delivers business value from the first sprint.

SpringML Build Database Migration

Flexible Pathways


Meet our migration team

Steve Sorek, President and Chief Strategy Officer
Steve Sorek
Director, Google Cloud Services
Eric Clark
Eric Clark
VP, Public Sector

Before and After - Outcomes with SpringML

Tell us about your migration project