Energy and Manufacturing companies depend on mission-critical systems that often span decades—ERP platforms, historians, SCADA systems, plant applications, on-prem data warehouses, and aging reporting environments.
As operations scale and real-time demands increase, these legacy systems limit analytics, slow down AI adoption, and create bottlenecks across the business.
Frame’s Data Migration & Modernization services give organizations a safe, efficient, and proven path to move from fragmented legacy infrastructure to modern, cloud-native data platforms powered by Azure, AWS, GCP, and Databricks Lakehouse.
We help clients migrate essential workloads, unify Operational Data Streams, and build modern data foundations engineered for analytics, automation, and AI.
We specialize in modernizing enterprise systems where uptime, data continuity, and regulatory integrity matter most. Our migration approach covers:
On-prem data warehouses → cloud-native lakehouse platforms
Legacy ETL pipelines → modern ingestion & transformation frameworks
Historic operational data → scalable storage and query layers
BI platforms (SSRS, SAP BW, Cognos, Qlik) → modern analytics engines
Every migration is engineered for security, reliability, and zero operational disruption.
Energy & Manufacturing operations generate massive volumes of telemetry across assets, plants, and field environments. Frame enables clients to:
Ingest streaming data from sensors, historians, OT/IT systems
Normalize and merge high-frequency data with enterprise context
Create unified time-series architectures optimized for analytics & AI
Make real-time operational insight available across the enterprise
This transforms scattered operational data into a foundation for predictive intelligence.
Frame builds cloud-native architectures that combine the best of data lakes and data warehouses, including:
Delta Lake / Iceberg / Hudi architectures
Databricks Lakehouse enablement
Cloud-native storage + compute scaling
Streaming, batch, and real-time pipelines
Semantic and consumption layers for analytics & AI
A modern lakehouse compresses delivery timelines and unlocks new analytical capabilities that legacy platforms cannot support.
To make data usable, trusted, and AI-ready, we modernize governance processes and tooling with:
Domain-based governance models
Automated metadata capture & lineage
Quality monitoring and anomaly detection
Unified catalogs across cloud & Databricks
Policy-based access and security controls
Governance becomes an operational advantage—not a bottleneck.
Modernization is not complete without predictable cloud economics. Frame delivers:
Workload forecasting & cloud consumption modeling
Right-sizing compute & storage architectures
Performance optimization for ETL/ELT pipelines
Scaling thresholds and capacity planning
Run-cost governance for AI & analytics workloads
Clients get clarity, control, and long-term sustainability.
The Frame Difference – Engineering Data for Real Operations
Frame helps organizations replace fragmented, legacy data environments with a modern, unified, cloud-native data ecosystem. By breaking down silos and making high-velocity operational data accessible, clients enable real-time analytics, intelligent automation, and a scalable foundation for machine learning and GenAI.
Modernization efforts are anchored in measurable outcomes—faster analytics, reduced downtime, lower operational costs, improved workforce productivity, and enterprise-wide AI readiness—turning legacy complexity into a streamlined platform for insight, innovation, and industrial AI.
Designed for High-Volume, High-Complexity Operations
We understand the unique challenges of migrating data from production environments where downtime, safety, and continuity matter.
Cloud-Agnostic, Future-Proof Architecture
Whether you’re modernizing on Azure, AWS, GCP, or Databricks, Frame ensures flexibility and avoids vendor lock-in.
Deep OT/IT Integration Expertise
We specialize in unifying plant systems, historians, maintenance systems, supply chain data, IoT/edge telemetry, and enterprise applications.
Accelerated Delivery with Industrial-Grade Precision
Our modernization accelerators eliminate risk, compress timelines, and ensure clean, governed, AI-ready data from day one.
Modernize your data foundation without disrupting operations
