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Databricks

Databricks Audit

Clarity, Control, and Confidence Across Your Data Platform: Transform your Databricks environment into a high-performance, cost-efficient, and production-ready data platform.

Databricks Delivers Power

Without Control, Data Complexity Grows Faster Than Value

Databricks enables rapid experimentation and data innovation, but as adoption expands, many environments become increasingly difficult to manage. Architectures evolve without clear standards, compute usage grows unchecked, and governance struggles to keep pace.

Over time, engineering teams spend more time optimizing clusters, debugging pipelines, and managing technical debt than delivering new capabilities. Meanwhile, business leaders lack clear insight into cost drivers, performance bottlenecks, and whether the platform is truly generating ROI.

Assess Your Databricks Platform End-to-End

KMS conducts a comprehensive assessment of your Databricks environment,covering architecture design, cluster configuration, data pipelines, workload patterns, and governance frameworks. We analyze how your platform operates in real conditions to identify where costs accumulate, where performance degrades, and where risks emerge. Beyond identifying issues, we translate findings into business impact, linking technical inefficiencies to cost, speed, and scalability challenges. You’ll leave with a clear, prioritized roadmap that aligns your Databricks platform with both best practices and your long-term data and AI strategy.

AI-Ready Architecture & Roadmap

Define a future-state Databricks architecture that enables scalable data processing, governed access, and seamless transition from experimentation to production

Full Platform Visibility

Gain full visibility into architecture, compute usage, pipelines, and governance maturity.

Operational Insights

Uncover inefficiencies, cost drivers, performance gaps, and security risks

Trusted by:

WHAT YOU GET

A Databricks Optimization Blueprint

By the end of the engagement, you gain a structured, execution-ready plan to improve performance, reduce costs, and strengthen governance across your platform.

End-to-end platform visibility

A comprehensive view of your Databricks architecture, workloads, and data flows

Cost optimization plan with measurable impact

Clear identification of waste drivers and high-impact savings opportunities through better resource management

Performance and scalability improvements

Prioritized recommendations to accelerate pipelines, improve reliability, and support growing workloads

Modernization Roadmap

Prioritized initiatives with effort, value, and sequencing guidance.

Security and governance assessment

Identification of access control gaps, compliance risks, and governance inconsistencies, with clear remediation steps

Target-state architecture design

A modern, scalable Databricks setup aligned with best practices for data engineering and AI workloads

Actionable roadmap tied to business value

A sequenced plan connecting technical improvements to ROI, operational efficiency, and faster time-to-insight

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 turn Databricks performance into real business value?

Let’s optimize your platform, reduce unnecessary spend, and build a scalable foundation for data and AI growth.