Azure Databricks
Azure Databricks unifies your data, analytics, and AI in one powerful lakehouse platform.
Enterprise-Grade Data Intelligence - Delivered with Korcomptenz and Azure
Developed together by Microsoft and Databricks, Azure Databricks provides a first-party, enterprise-grade solution on a solid lakehouse architecture. It unites data, analytics, and AI in the Azure environment. As part of the Databricks Data Intelligence Platform, Korcomptenz provides Azure Databricks services to enable your business to streamline data architectures, accelerate insights, and operationalize generative AI, providing an easy, secure, and scalable experience native to Azure.
Modernize Your Data Estate with Azure Databricks and Korcomptenz
Azure Databricks provides the performance, scale, and elasticity needed to power data-driven businesses in the modern era. Korcomptenz enables you to realize its full potential for a vast array of applications:
Azure Databricks integrates easily with top Azure services, such as Azure Storage, Azure SQL Database, and Azure Machine Learning Studio, allowing you to develop and deploy end-to-end analytics and AI solutions quickly, securely, and efficiently.
Driving Intelligent Outcomes with Azure Databricks
Superior Price-Performance for SQL Workloads
Achieve faster, cost-effective SQL performance with the Photon engine and AI-optimized queries: Spark, Python, and SQL runtimes power ETL, BI, and AI workloads.
Proven at Enterprise Scale
Trusted by 10,000+ global enterprises, including 60% of the Fortune 500, to run AI and data workloads seamlessly across 44+ Azure regions with reliability.
Seamless, Native Azure Integration
Launch instantly via Azure Portal with built-in security and governance through Entra ID, Unity Catalog, and Purview. Enable collaboration across your data teams.
Core Capabilities of Azure Databricks
Designed for Apache Spark-Based Big Data Analytics
Built on Apache Spark, Azure Databricks speeds up massive-scale data processing with optimized runtimes for ETL, streaming, and advanced analytics.
Collaborative Notebooks for Data Science and ML
Interactive notebooks are supported for Python, R, and SQL, with real-time collaboration, experiment tracking, and integrated ML workflows for accelerated model building.
Scalability and Performance for Complex Pipelines
Auto-scaling compute and performance-optimized execution engines provide consistent performance for high-demand data pipelines, from ingestion to real-time analytics and AI.
Secure and Compliant Enterprise-Grade Environment
Built-in identity, access control, encryption of data, and support for leading standards provide enterprise-level security for all Azure Databricks workloads.
Our Azure Databricks Solutions & Services
Azure Databricks Consulting Services
Professional guidance on strategy, governance, and architecture designed for your business objectives. Utilize Azure Databricks services to speed up deployment and optimize ROI throughout the analytics lifecycle.
Data Engineering on Azure Databricks
Deploy and design high-performance Spark-based pipelines with Delta Lake and Lakeflow. These Azure Databricks services support efficient ingestion, transformation, orchestration, and robust analytics at cloud scale.
Machine Learning & AI Solutions
Create strong ML and AI workflows on collaborative notebooks with support for MLflow, automated training, and effortless Azure ML integration for productive, scalable intelligence capabilities.
Real-Time Data Streaming and Analytics
Facilitate real-time insights through structured streaming, event ingestion, and materialized views in Azure Databricks. Provide live dashboards, anomaly detection, and quick operational intelligence.
Custom Dashboards & BI Integrations
Bake SQL analytics and BI tools like Power BI into customized, interactive dashboards. Use lakehouse data to drive actionable business user insights.
End-to-End Azure Databricks Implementation
Manage end-to-end deployment life cycle, from workspace provisioning and MLOps establishment to governance, monitoring, and optimization, guaranteeing compliant, scalable, and enterprise-ready analytics platforms.
Azure Databricks Migration Services
Migration from Apache Spark / Hadoop to Azure Databricks
Effective Azure Databricks migration moves Spark or Hadoop workloads to Delta Lake with minimal refactoring, taking advantage of Photon and native Spark compatibility to enhance scalability, performance, and governance.
Lift-and-Shift from Legacy Data Warehouses
Move existing data warehouses to a new lakehouse in a lift‑and‑shift approach. Accelerated lift‑and‑shift migration provides faster time‑to‑value and continuous analytics for unified datasets.
Replatforming Current Azure Data Workloads
Update current Azure-based ETL, SQL, and analytics platforms by replatforming to a single unified Azure Databricks solution. Improve efficiency, streamline architecture, and lower technical debt.
Performance Tuning Post‑Migration
Balance clusters and workloads after migration through Photon, Delta Lake caching, partitioning, query profiling, auto-scaling, and cluster pools to enhance throughput and decrease latency.
Transforming operations for your business
Use Cases of SAP Joule AI in Enterprise
These industry-specific use cases are underpinned by advanced Azure Databricks features such as streaming analytics, Spark-based ML workflows, and unified lakehouse architecture to deliver robust, compliant solutions.
Healthcare
Process high-speed clinical and device data for real-time patient monitoring, predictive health analytics, and compliance reporting, securely governed within Azure Databricks environments.
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Designed for Azure with Native Governance and Compliance
Connect your Azure datastore ecosystem securely with dedicated connectors for high-speed access and simplified management. Azure Databricks service facilitates easy Unity Catalog setup, enforcing strong identity, access control, and compliance, while providing you with centralized control and simplified operational governance across your Azure data landscape.
Our End‑to‑End Process for Azure Databricks Delivery
The Korcomptenz Advantage in Azure Databricks Implementation
Our Azure Databricks Success Stories
Tap into the Strength of a Completely Managed Azure Databricks Service
Turn your data into actionable insight with Korcomptenz’s end-to-end Azure Databricks solution. From discovery to deployment and beyond, we enable you to unlock the full power of data engineering, machine learning, and real-time analytics, securely and at scale.
Ready to modernize your data landscape? Talk to our Azure Databricks experts today.
Frequently asked questions
An open, horizontally scaled platform integrating Spark-based data processing, analytics, and ML pipelines for unified data, AI, and business intelligence solutions at scale.
Azure Databricks provides deep Spark optimizations, live collaborative notebooks, and autoscaling clusters, as opposed to Synapse’s mainly SQL-based data warehouse features.
Yes, it is easy to move existing Apache Spark jobs with minimal refactoring, embracing Delta Lake and Databricks Runtime for best performance and compatibility.
Photon is Apache Spark re-coded in C++ and offers a high-performance query engine that can help speed up your time to insights and lower your overall cost per workload.
Delta Lake is an optimized storage layer that offers the basis for storing tables and data in Azure Databricks.
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