Microsoft Azure Redis Cache Enterprise E20 Subscription
Microsoft Azure Redis Cache Enterprise E20 provides a high-performance, in-memory data store for your critical business applications, ensuring rapid data retrieval and enhanced user experiences.
- Platform Access: Enables the use of Azure Redis Cache Enterprise E20 for advanced caching and data management.
- Subscription Term: Covers a 1-year commitment with monthly billing for predictable IT budgeting.
- Geographic Focus: Deployed in the US Central region, optimizing latency for local operations.
- Scalability & Performance: Delivers enterprise-grade speed and capacity for demanding workloads.
Product Overview
Product Overview
This is a Microsoft Azure Redis Cache Enterprise E20 subscription, providing a fully managed, in-memory data store service. It is designed to accelerate application performance by enabling fast access to frequently used data, reducing database load and improving response times for end-users.
IT Managers and IT Professionals in SMB and mid-market companies utilize Azure Redis Cache to enhance the performance of their web applications, APIs, and microservices. It integrates directly into existing Azure environments, acting as a critical component for applications requiring low-latency data access and high throughput.
- High-Performance Caching: Offers sub-millisecond latency for data retrieval, significantly boosting application speed.
- Enterprise-Grade Features: Includes advanced capabilities like clustering, persistence, and geo-replication for resilience and scalability.
- Managed Service: Reduces operational overhead by handling infrastructure management, patching, and monitoring.
- Flexible Deployment: Integrates seamlessly with other Azure services and application architectures.
- Cost-Effective Scaling: Allows businesses to scale their caching capacity up or down based on demand.
Azure Redis Cache Enterprise E20 is the ideal solution for SMB and mid-market teams seeking to elevate application performance and user experience without the complexity of self-managed caching solutions.
What This Enables
Enable High-Speed Data Access for Applications
Enable teams to significantly reduce application load times and improve user engagement by caching frequently accessed data. Streamline data retrieval processes for dynamic content and real-time analytics.
web applications, API services, microservices architectures, cloud-native deployments
Enhance User Session Management
Streamline user session management for web applications, ensuring a consistent and responsive experience across devices. Automate the handling of user state information for scalable and reliable user interactions.
e-commerce platforms, SaaS applications, customer portals, multi-user applications
Accelerate Real-Time Data Processing
Automate the processing of real-time data streams and analytics by providing a low-latency data source. Support immediate insights and decision-making for time-sensitive business operations.
IoT data ingestion, financial trading platforms, live dashboards, gaming applications
Key Features
In-memory data store
Achieve sub-millisecond latency for lightning-fast data access, significantly improving application responsiveness.
Enterprise clustering
Scale your caching capacity horizontally to handle massive workloads and ensure high availability.
Data persistence options
Protect against data loss with configurable persistence, ensuring data availability even after restarts.
Geo-replication
Enhance disaster recovery and reduce latency for global users by replicating data across regions.
Managed service
Reduce operational burden as Microsoft handles infrastructure, patching, and monitoring, allowing your IT team to focus on core business needs.
Industry Applications
Finance & Insurance
Financial services require low-latency access to market data, transaction processing, and customer information to meet strict performance and regulatory demands.
Retail & Hospitality
Retail and hospitality businesses need fast access to product catalogs, inventory, and customer profiles to deliver seamless online shopping and personalized experiences.
Healthcare & Life Sciences
Healthcare organizations benefit from rapid retrieval of patient data, appointment scheduling, and real-time monitoring to improve care delivery and operational efficiency.
Manufacturing & Industrial
Manufacturers can leverage high-speed data access for real-time production monitoring, supply chain optimization, and predictive maintenance analytics.
Frequently Asked Questions
What is Azure Redis Cache Enterprise E20?
Azure Redis Cache Enterprise E20 is a fully managed, in-memory data store service from Microsoft. It is designed to provide extremely fast data access for applications, acting as a high-performance cache or session store.
What are the benefits of using Azure Redis Cache?
Key benefits include significantly improved application performance, reduced database load, enhanced scalability, and simplified management. It enables faster response times and a better user experience for your applications.
Who is this subscription for?
This subscription is ideal for SMB and mid-market companies that need to accelerate their business applications, APIs, or data processing. It is suitable for IT Managers and IT Professionals looking for a reliable and high-performance caching solution.
Deployment & Support
Deployment Complexity
Low — self-service
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.