Databricks Consulting & Engineering

Accelerate Intelligence with the Lakehouse

Build scalable Lakehouse architectures, accelerate AI initiatives, modernize data platforms, and unlock real-time intelligence with Databricks.

Anlage Digital helps enterprises design, implement, optimize, and govern Databricks ecosystems across AWS, Azure, and GCP.

Talk to a Databricks Expert Schedule an Assessment

Delta Lake

Apache Spark

Unity Catalog

Databricks

Unified Data Analytics

Databricks

Delta Lake

Apache Spark

Unity Catalog

MLflow

Delta Live Tables

Transformation

Accelerate Modern Data Transformation

Databricks provides a unified platform for data engineering, analytics, machine learning, and AI.

Our Databricks consultants help organizations modernize legacy platforms, build robust Lakehouse architectures, implement strict governance frameworks, and optimize analytics performance while reducing operational complexity.

Key Outcomes

Faster analytics delivery
Scalable data engineering
AI-ready data foundations
Enterprise-grade governance

Enterprise Security

Governance Built Into Every Engagement

Modern data platforms require more than performance. They require strict security, governance, compliance, data lineage, and granular access control.

Unity Catalog Role-based Access Auditability Data Classification Data Lineage

HIPAA

SOC 2

ISO 27001

GDPR

Capabilities

Databricks Expertise

End-to-end consulting and engineering services for the modern data enterprise.

Lakehouse Architecture

Design modern Delta Lake architectures that unify analytics, AI, and governance on a single, scalable platform.

Raw Data (Bronze)

Filtered Data (Silver)

Business Data (Gold)

Business Outcomes

Unified data strategy
Reduced storage costs
Simplified infrastructure

Technologies

Delta Lake, Photon
Apache Spark
Unity Catalog

Explore Lakehouse Services

Data Engineering

Build scalable Spark pipelines, streaming architectures, and robust data transformation frameworks.

Ingestion

Delta Live Tables (ETL)

Analytics Ready

Business Outcomes

Reliable data pipelines
Automated ETL workflows

Technologies

Delta Live Tables
Databricks Workflows

Talk to our Engineers

Platform Migration

Migrate seamlessly from Hadoop, Snowflake, Synapse, Redshift, Teradata, and legacy data warehouses to Databricks.

Legacy Data Warehouse

Automated Migration

Databricks Lakehouse

Business Outcomes

Modernized infrastructure
Zero downtime migration

Technologies

Databricks Migration Tools
Cloud Data Factory

Plan Your Migration

AI & MLOps

Operationalize machine learning with MLflow, Feature Stores, Model Registry, and end-to-end CI/CD.

Feature Store

Model Training (MLflow)

Model Serving

Business Outcomes

Faster model deployment
Reproducible AI workflows

Technologies

MLflow, AutoML
Databricks Feature Store

Scale AI Operations

Data Governance

Implement Unity Catalog, complete data lineage, fine-grained access controls, and strict compliance frameworks.

Data Assets

Unity Catalog Central

Secure Access

Business Outcomes

Audit-ready environment
Secure collaboration

Technologies

Unity Catalog
Delta Sharing

Secure Your Data

Real-Time Data Processing

Build robust event-driven architectures with Spark Structured Streaming for immediate analytics and responses.

IoT / Event Streams

Structured Streaming

Real-Time Dashboards

Business Outcomes

Instant operational insights
Proactive decision making

Technologies

Spark Structured Streaming
Apache Kafka Integration

Enable Real-Time Insights

SQL Analytics

Enable self-service analytics and high-performance Databricks SQL workloads for analysts and executives.

Delta Lake Data

Databricks SQL Serverless

BI Tools (Power BI/Tableau)

Business Outcomes

Empowered data analysts
Ultra-fast query execution

Technologies

Databricks SQL
Photon Engine

Optimize SQL Workloads

Platform Optimization

Reduce operating costs, drastically improve performance, and optimize cluster utilization across environments.

Current Clusters

Workload Analysis & Tuning

Optimized Cost & Performance

Business Outcomes

Significant cost savings
Improved job reliability

Technologies

Cluster Policies
FinOps Best Practices

Get an Optimization Audit

Differentiators

Why Enterprises Choose Anlage

Lakehouse Modernization

Unified architecture expertise for analytics, AI, and governance.

Performance Optimization

Improve Spark workloads, query execution, and compute cluster efficiency.

Governance First

Enterprise-grade governance baked in from day one using Unity Catalog.

Multi-Cloud Expertise

Seamless Databricks deployments across AWS, Azure, and Google Cloud.

Managed Operations

Ongoing monitoring, L2/L3 support, and platform reliability engineering.

AI Acceleration

Prepare trusted data foundations required for advanced enterprise AI.

Ecosystem

Enterprise Integrations

Connecting Databricks seamlessly to your enterprise ecosystem.

SAP

Operational analytics and financial intelligence.

Salesforce

Customer 360 and predictive analytics.

ServiceNow

Workflow intelligence and operational insights.

Oracle

Enterprise reporting and data modernization.

Azure OpenAI

Generative AI and enterprise knowledge solutions.

Power BI

Unified analytics and executive reporting.

Microsoft Fabric

Hybrid analytics architectures bridging OneLake and Delta Lake seamlessly.

Excellence

Engineering Standards

We follow engineering practices designed for long-term platform success.

Quality Code: Maintainable Spark and SQL codebases.
Automated Testing: Data quality validation and pipeline testing.
Modular Frameworks: Reusable engineering patterns.
Documentation: Architecture, governance, lineage, and runbooks.
CI/CD Automation: Reliable deployment pipelines.
Observability: Monitoring, logging, and operational visibility.

Engagement

Delivery Models

Advisory & Assessment

Architecture reviews and modernization roadmaps.

Project Delivery

End-to-end implementation and migration.

Dedicated Databricks Teams

Embedded consultants and engineers.

Build-Operate-Transfer

Launch and transition ownership seamlessly.

Managed Services

Optimization, support, and platform operations.

Verticals

Industry Solutions

Healthcare

Clinical analytics and patient intelligence.

Financial Services

Fraud detection and risk analytics.

Retail & CPG

Customer intelligence and demand forecasting.

Manufacturing

Predictive maintenance and operational intelligence.

Logistics

Supply chain visibility and optimization.

Energy

Asset monitoring and operational efficiency.

Expertise

Related Platform Expertise

Our consultants also work across leading data technologies:

Snowflake

Microsoft Fabric

Azure Synapse

Apache Kafka

Hadoop

Apache Hive

Apache Cassandra

Power BI

Trust

Trusted by Leading Enterprises

Frequently Asked Questions

How is Databricks different from traditional data warehouses?

Databricks employs a Lakehouse architecture, combining the performance and ACID reliability of data warehouses with the massive scalability, flexibility, and low cost of data lakes. It unifies workloads across analytics and AI on a single platform.

What is a Lakehouse architecture?

A Lakehouse is a new data management paradigm that integrates the best elements of data lakes and data warehouses. It allows direct querying of unstructured and semi-structured data using standard SQL while supporting advanced machine learning natively.

Can Databricks support AI and machine learning workloads?

Absolutely. Databricks was built from the ground up to natively support ML and AI workloads. It includes integrated tools like MLflow for tracking experiments, Model Registry for deployment, and distributed computing capabilities via Spark.

How does Unity Catalog improve governance?

Unity Catalog provides a centralized governance layer across workspaces and clouds. It enables fine-grained access control, automated data lineage tracking, cross-workspace sharing, and auditing capabilities necessary for enterprise compliance.

Can Databricks integrate with SAP and Salesforce?

Yes, through native connectors and optimized ingestion pipelines, we integrate Databricks directly with core operational systems like SAP and Salesforce to create a unified Enterprise Customer 360 and financial intelligence layer.

How do you optimize Databricks costs?

We implement strict FinOps practices, including automated cluster right-sizing, spot instance utilization, serverless SQL compute when applicable, auto-termination policies, and optimizing Delta Lake file sizes to drastically reduce DBU consumption.

What migration approaches do you recommend?

We utilize automated schema translation and historical data backfilling tools, advocating for a phased parallel-run migration approach. This ensures zero business disruption while allowing for incremental validation of pipelines against the legacy system.

How long does a Databricks implementation take?

A foundational Databricks Lakehouse with Unity Catalog and initial use cases can typically be deployed in 6-8 weeks. Enterprise-wide migrations and complex ML operationalization vary based on data volume and legacy pipeline complexity.

Modernize Your Data Platform with Databricks

Whether you're building a Lakehouse, modernizing analytics, or preparing for enterprise AI, Anlage Digital can help accelerate your Databricks journey.

Talk to a Databricks Expert Schedule an Assessment