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AI-first data platforms
powered by Databricks
Build governed lakehouse architectures, production AI, and enterprise
analytics with a Databricks Select Partner. From Delta Lake and Unity
Catalog to Mosaic AI and MLflow, we help organizations modernize data
and accelerate AI adoption.
Databricks Consulting

We help organizations plan, implement, and optimize Databricks solutions that align with their business goals. From strategy and platform implementation to migration and ongoing optimization, our experts deliver secure, scalable, and future-ready data platforms.

Our consulting approach combines proven delivery frameworks, certified expertise, and best practices to accelerate adoption, reduce implementation risk, and maximize long-term value.

20,000 +
ORGANIZATIONS ON DATABRICKS
60 %
OF THE FORTUNE 500
$5.4 B
REVENUE RUN-RATE (2026)
$1.4 B+
AI PRODUCTS RUN-RATE
Why Databricks
Databricks created the lakehouse category and has grown into the default data-and-AI platform for the enterprise. More than 20,000 organizations — including over 60% of the Fortune 500 — run on the Databricks Data Intelligence Platform, and the company crossed a $5.4B revenue run-rate in early 2026, with its AI products alone exceeding a $1.4B run-rate. For clients, the momentum matters less than what drives it: one platform where the data lives, the governance applies, and the AI runs.
01
One Copy of Your Enterprise Data
The lakehouse unifies engineering, warehousing, streaming, BI, ML, and GenAI on a single governed copy of your data, in an open format that stays yours. More than 20,000 organizations — over 60% of the Fortune 500 — run on it.
02
Governance Built for AI
Unity Catalog governs tables, models and AI agents under one permission, lineage and audit model, so your risk function can sign off on AI, not just data.
03
AI Where Your Data Lives
Build and operate GenAI agents on governed enterprise data with Mosaic AI and Agent Bricks; give every business user plain-English access with Genie.
04
Open Standards & Multi-Cloud
Delta Lake, MLflow and Delta Sharing are open source, and the platform runs on AWS, Azure and Google Cloud. Your architecture survives your cloud strategy.
Databricks Services
Our Databricks services cover the complete lifecycle—from strategy and implementation to governance, AI enablement, optimization, and managed operations. We deliver scalable solutions that help organizations unlock greater value from their data investments.
01
Lakehouse Architecture & Migration
We redesign and build lakehouse platforms on Databricks, migrating from legacy warehouses like Teradata, Netezza, Oracle, Hadoop clusters, and early cloud data lakes. Our delivery uses medallion architecture (bronze → silver → gold) with built-in governance, quality, and cost controls, plus parallel-run validation to ensure reporting continuity during cutover. We operate on Azure, AWS, or GCP, including alongside existing Snowflake estates when a dual-platform strategy fits, advising on workload placement without vendor bias.
02
Governance with Unity Catalog
Unity Catalog is where lakehouse programs succeed or stall. We implement it as the single governance plane for the estate: catalog and domain design, fine-grained access control (including attribute-based access and dynamic masking for regulated data), end-to-end lineage, audit logging, and data sharing via Delta Sharing. For 2026-era estates, we extend governance to AI itself — registering models, functions and agents in Unity Catalog, and using Unity AI Gateway patterns to control what agents can see, do and spend. The outcome: data and AI your risk function can sign off on.
03
Data Engineering with Lakeflow
Lakeflow unifies ingestion, transformation and orchestration under Unity Catalog — and we build on it end to end: managed connectors to 100+ enterprise sources with Lakeflow Connect, high-volume event streaming, declarative pipelines with built-in data quality expectations, and orchestrated jobs with full observability. Where a visual approach fits, Lakeflow Designer lets analysts assemble governed pipelines without code. The result is a real-time, trustworthy data foundation — increasingly important because AI agents acting on stale or inconsistent data make wrong decisions at machine speed.
04
Generative AI with Mosaic AI & Agent Bricks
RAG, fine-tuning, model serving and full agentic systems on Agent Bricks — with document intelligence for claims, contracts and KYC, and evaluation and guardrails before anything touches production.
05
Machine Learning & MLOps with MLflow
Forecasting, risk, predictive maintenance and propensity models — notebook to governed production endpoint in weeks, monitored for drift.
06
Data-Intelligent Applications — Lakebase & Databricks Apps
The newest frontier: operational applications built directly on the lakehouse. Lakebase — Databricks' managed Postgres — provides the transactional layer, unified with analytical data and serving as memoryfor AI agents; Databricks Apps hosts the application itself inside the governance perimeter. We use this pattern to collapse architectures that used to need a separate app database, ETL into the warehouse, and a reverse-ETL back out — one governed platform now carries the app, the analytics and the agents.
07
Conversational Analytics & BI — Genie and Databricks SQL
Databricks SQL as one semantic layer for Power BI, Tableau and Looker — then conversational analytics with AI/BI Genie, grounded in your business definitions.
08
Cost Optimization & Managed Services
FinOps discipline that typically recovers 20–40% of platform spend, backed by 24×7 managed operations.
Databricks Technologies
1AI & Machine Learning
  • Mosaic AI
  • Agent Bricks
  • MLflow
  • Genie
2Data Platform
  • Delta Lake
  • Unity Catalog
  • Delta Sharing
  • Lakeflow
3Analytics
  • Databricks SQL
  • Lakehouse
  • Streaming
  • Vector Search
4Multi-Cloud
  • AWS
  • Microsoft Azure
  • Google Cloud
Why Techkrill
A
AI-First Lakehouse Expertise
Deliver governed lakehouse platforms that unify engineering, analytics, machine learning, and enterprise AI.
P
Production AI Enablement
Build enterprise GenAI, RAG, intelligent agents, and ML solutions directly on governed enterprise data.
E
Enterprise Data Modernization
Modernize legacy warehouses and Hadoop environments into scalable AI-ready lakehouse platforms.
M
Managed Optimization
Continuously optimize platform performance, governance, security, and cloud costs with managed services.
Databricks Industries
Financial Services
Real-time fraud and AML transaction monitoring · credit risk and underwriting models with explainability · regulatory reporting on governed, lineage-complete data · data mesh across business units on Unity Catalog.
Healthcare
Revenue cycle intelligence · clinical decision support · payer analytics and risk adjustment · HL7/FHIR interoperability pipelines on a HIPAA-grade Lakehouse.
Manufacturing
Predictive maintenance from sensor data · computer-vision quality inspection · OEE analytics · supply-chain digital twins on IoT streaming.
Retail & Commerce
Demand sensing and inventory optimization · customer 360 and personalization · dynamic pricing · supply-chain analytics on streaming POS and logistics data.
Technology & Software
Product telemetry Lakehouses · ML-powered product features · usage-based billing analytics · AI agent backends on Lakebase.
Communications & Media
Network performance analytics · churn prediction and next-best-offer · content recommendation · audience analytics at streaming scale.
Ready to build an AI-powered data platform with Databricks?
Transform your enterprise data into modern lakehouse architecture that gives you analytics, machine
learning, and intelligent applications all from one place.
Schedule a Free Databricks Assessment