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What is Redis?

Redis Labs serves as the official home of Redis, showcasing its leading product, Redis Enterprise, which is recognized as the most advanced version of Redis. Offering much more than mere caching capabilities, Redis Enterprise is accessible for free in the cloud, delivering NoSQL solutions and utilizing the fastest in-memory database available. The platform is designed for scalability and enterprise-level resilience, enabling massive scaling along with user-friendly administration and operational efficiency. Notably, Redis in the Cloud has gained popularity among DevOps professionals due to its capabilities. Developers benefit from advanced data structures and a broad range of modules, empowering them to foster innovation and achieve quicker time-to-market. Chief Information Officers appreciate the robust security and reliable expert support that Redis provides, ensuring an impressive uptime of 99.999%. For scenarios involving active-active configurations, geodistribution, and conflict resolution with read/write operations across multiple regions on the same dataset, relational databases are recommended. Furthermore, Redis Enterprise facilitates various flexible deployment options, making it adaptable to different environments. The ecosystem also includes Redis JSON, Redis Java, and Python Redis, along with best practices for Redis on Kubernetes and GUI management, solidifying its versatility in modern application development.

What is Azure Managed Redis?

Azure Managed Redis integrates the latest advancements from Redis, providing outstanding availability and a cost-effective Total Cost of Ownership (TCO), specifically designed for hyperscale cloud settings. By utilizing this service within a robust cloud framework, organizations can seamlessly expand their generative AI applications. The platform empowers developers to build high-performance, scalable AI solutions, leveraging its state-of-the-art Redis functionalities. With features like in-memory data storage, vector similarity search, and real-time data processing, developers are equipped to handle large datasets efficiently, accelerate machine learning workflows, and develop faster AI applications. Furthermore, its seamless integration with Azure OpenAI Service guarantees that AI workloads are optimized for both speed and scalability, meeting critical operational requirements. This positions Azure Managed Redis not only as a powerful tool for AI development but also as an essential resource for companies aiming to maintain their edge in a rapidly evolving market. Ultimately, embracing these capabilities can significantly enhance business agility and innovation.

Media

Media

Integrations Supported

Azure Cache for Redis
Azure Marketplace
Amazon MemoryDB
AsparaDB
Astro
ChatGPT Pro
DbSchema
Dumper
Elastic Observability
HoneyHive
Hosted Graphite
Klu
One-IoT Device Management
Ploi
RAD Security
Rivery
StrongDM
TablePlus
TcaplusDB
The CodeGround

Integrations Supported

Azure Cache for Redis
Azure Marketplace
Amazon MemoryDB
AsparaDB
Astro
ChatGPT Pro
DbSchema
Dumper
Elastic Observability
HoneyHive
Hosted Graphite
Klu
One-IoT Device Management
Ploi
RAD Security
Rivery
StrongDM
TablePlus
TcaplusDB
The CodeGround

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Redis Labs

Date Founded

2011

Company Location

United States

Company Website

redislabs.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

www.microsoft.com

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

Categories and Features

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