Microsoft Azure Databricks 2.25 Million DBCUs Subscription
Microsoft Azure Databricks provides a powerful, unified analytics platform for data engineering, machine learning, and business analytics, offering 2.25 million Databricks Units for your organization's data initiatives.
- License Term: Subscription-based access for 3 years, billed monthly.
- Capacity: Entitlement to 2.25 million Databricks Units (DBUs) for processing and analytics.
- Platform: Enables advanced analytics and AI workloads on the Microsoft Azure cloud.
- Value: Facilitates data-driven decision-making and accelerates AI model development.
Product Overview
Product Overview
Microsoft Azure Databricks is a cloud-based platform that unifies data warehousing and machine learning, offering a collaborative environment for data professionals. This specific offering provides 2.25 million Databricks Units (DBUs) on a 3-year subscription, enabling extensive data processing and advanced analytics capabilities.
This solution is designed for businesses that require scalable and powerful tools for data engineering, data science, and machine learning. It integrates seamlessly with Azure services, allowing IT Managers and IT Professionals to build, deploy, and manage complex data pipelines and AI models within their existing Azure infrastructure.
- Unified Analytics: Combines data warehousing, big data analytics, and machine learning in a single platform.
- Scalable Performance: Utilizes Databricks Units (DBUs) to provide elastic compute for demanding workloads.
- Collaboration: Offers a shared workspace for data engineers, data scientists, and analysts.
- AI & ML Ready: Built-in tools and integrations for developing and deploying machine learning models.
- Azure Integration: Deeply integrated with Azure services for data ingestion, storage, and security.
Azure Databricks empowers SMB and mid-market teams to achieve enterprise-grade data analytics and AI without the associated infrastructure overhead.
What This Enables
Enable Advanced Data Engineering Workflows
Enable teams to build and manage complex data pipelines for large-scale data processing and transformation. Streamline data ingestion, cleaning, and preparation for downstream analytics and machine learning applications.
cloud-native deployments, hybrid cloud environments, data warehousing modernization, big data processing
Accelerate Machine Learning Model Development
Streamline the entire machine learning lifecycle, from experimentation to production deployment. Automate model training, evaluation, and deployment to drive AI-powered business solutions.
data science initiatives, AI research and development, predictive analytics, custom application integration
Unify Business Intelligence and Analytics
Enable teams to consolidate data from various sources into a single, powerful analytics environment. Automate reporting and dashboard creation to provide real-time business insights for decision-makers.
business intelligence consolidation, interactive data visualization, operational reporting, cross-departmental analytics
Key Features
Unified Data and AI Platform
Reduces complexity and cost by consolidating data engineering, data science, and business analytics into a single environment.
Scalable Compute (DBUs)
Provides elastic processing power to handle fluctuating big data workloads efficiently, ensuring performance when needed.
Collaborative Workspace
Enhances productivity by allowing data teams to work together on shared notebooks and projects.
Optimized Spark Engine
Delivers superior performance for big data processing and machine learning tasks compared to standard Apache Spark.
Integration with Azure Services
Simplifies data management and security by seamlessly connecting with Azure Data Lake Storage, Azure Synapse Analytics, and other Azure services.
Industry Applications
Finance & Insurance
Enables advanced fraud detection, risk modeling, and personalized customer analytics required by financial institutions and insurance providers to meet regulatory compliance and competitive demands.
Healthcare & Life Sciences
Supports the analysis of large patient datasets for clinical research, predictive diagnostics, and operational efficiency, aiding in compliance with HIPAA and driving medical advancements.
Retail & Hospitality
Facilitates customer behavior analysis, inventory optimization, and personalized marketing campaigns to enhance customer experience and drive sales in competitive markets.
Manufacturing & Industrial
Enables predictive maintenance, supply chain optimization, and quality control through the analysis of IoT data and production metrics, improving operational efficiency and reducing downtime.
Frequently Asked Questions
What are Databricks Units (DBUs)?
Databricks Units (DBUs) are a unit of processing capability on the Databricks platform. The number of DBUs consumed depends on the type of virtual machine used and the duration of the workload.
How is Azure Databricks billed?
This offering is a subscription-based license billed monthly for a 3-year term. The 2.25 million DBUs represent the total processing capacity available over the subscription period.
Can this be used for real-time analytics?
Yes, Azure Databricks supports real-time data streaming and processing, enabling near real-time analytics and dashboarding for time-sensitive business needs.
Deployment & Support
Deployment Complexity
Medium — IT-assisted
Fulfillment
Digital Delivery
License keys / portal provisioning
Support Model
Zent Networks Managed
Renewal, add-license, and lifecycle management included
Subscription Terms
Cancellation
Cancel anytime — no charge on next cycle
You may cancel this subscription at any time. Cancellation takes effect at the end of the current billing period. You will not be charged for the following billing cycle. Access remains active through the end of the paid term.
Returns
Subscription licenses are non-refundable
Digital software licenses and SaaS subscriptions cannot be returned once activated or provisioned. Contact a Zent Networks account manager if you have questions before purchasing.