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Databricks

Databricks Migration

Move to Databricks with confidence Turn fragmented legacy systems into a unified, scalable, and AI-ready data platform on Databricks.

Databricks Delivers Power

Your Legacy System is Holding Back Quality, Speed, and Even Your Growth

Many organizations reach a point where legacy data platforms, whether on-prem, Hadoop-based, or fragmented cloud systems, can no longer support modern analytics and AI demands.

Data is spread across multiple systems, pipelines are difficult to maintain, and performance struggles to keep up with growing workloads. As a result, teams are forced to maintain outdated infrastructure, manage complex integrations, and work around limitations rather than grow.

Migrate to a Unified, Scalable Databricks Platform

KMS delivers an end-to-end migration approach: moving your data, pipelines, and workloads to Databricks with minimal disruption to ongoing operations. We begin by assessing your existing environment, identifying dependencies, and defining a migration strategy aligned with business priorities. From there, we execute a phased migration to ensure critical workloads are transitioned smoothly while maintaining performance and data integrity. Rather than simply replicating legacy systems, we modernize them, leveraging Databricks’ lakehouse architecture to unify data, simplify pipelines, and enable advanced analytics and AI use cases.

AI-Ready Data Foundation

Design and implement a modern lakehouse architecture that supports analytics, machine learning, and real-time data at scale

Improved Performance & Efficiency

Accelerate workloads while reducing infrastructure complexity and operational overhead

Simplified & Unified Data Architecture

Consolidate siloed systems into a single lakehouse platform for analytics, ML, and real-time processing

Trusted by:

WHAT YOU GET

A Seamless Transition to a Modern Data Platform

By the end of the engagement, you’ll have a complete migration plan and implementation, with key workloads transitioned and a scalable foundation in place.

Optimized platform configuration

Tuned clusters, workloads, and pipelines for improved efficiency and performance.

Migration strategy and execution plan

A phased roadmap aligned with business priorities and technical dependencies

Modernized data architecture

A lakehouse-based design optimized for performance, scalability, and governance

Validated performance improvements

Benchmarking and validation to ensure workloads meet or exceed previous performance

Governance and access control setup

Implemented security, lineage, and access management aligned with best practices

Post-migration optimization roadmap

A clear path to further enhance performance, cost efficiency, and scalability

WHY KMS

What Success Looks Like

We’re not another consultancy or offshore dev shop. We’re a product-native partner that knows how to take AI from concept to production—fast.

Product-led data expertise

We don’t just analyze data systems—we build and scale them inside real products.

End-to-end capability

From ingestion to analytics to AI enablement, we connect architecture, tooling, and delivery for measurable results.

Practitioners, not PowerPoint

Senior data architects and engineers who’ve solved these problems in production environments.

Execution-ready partnership

The same team that assesses can implement—modernizing pipelines, optimizing platforms, and enabling AI.

Proven in complex industries

Trusted by SaaS, healthcare, and fintech leaders to modernize data systems where reliability and compliance matter most.

Built for AI readiness

Every recommendation prepares your foundation to support real-time analytics and AI-driven workloads.

Trusted Data Pipelines

Reliable, observable data pipelines that deliver trusted insights on time.

Scalable Architecture for AI

Modern, scalable architecture built to support analytics and AI workloads.

Unified Visibility Across Teams

Shared visibility into performance, cost, and value across data and business teams.

A Roadmap Built for Impact

Clear, actionable roadmap that aligns technical modernization with strategic goals.

A Future-Ready Data Foundation

A future-ready data foundation—built for real-time intelligence and continuous innovation.

From First Agent to Full Strategy

The Next Step in Your Data Journey

The Data Pipeline Assessment is your foundation for modernization and AI readiness. From here, organizations often expand into:

Data Platform Assessment

Gain clear visibility into your data architecture and pipelines, uncover inefficiencies and bottlenecks, and establish a practical, actionable path to modernize your data platform. The outcome is a prioritized roadmap with quick wins and a scalable foundation for long-term growth.

Cloud Data Migration Strategy

Define the right cloud data architecture and execute a seamless migration from legacy warehouses and ETL processes to modern platforms like Snowflake, Databricks, or BigQuery, all without disrupting business operations.

Data Pipeline Proof-of-Concept

Design and validate a production-ready real-time data pipeline that proves feasibility, reduces data latency, and demonstrates the business impact of streaming data—giving you confidence before scaling to full implementation.

Data Quality & Governance Sprint

Establish quality controls and ownership for analytics data at scale as your intelligence platform grows.

Ready to move from legacy complexity to a modern data platform?

Let’s plan and execute your migration, reduce platform complexity, and build a scalable foundation for analytics and AI.