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Case Studies > Redis Enterprise Helps Growing Real Estate Platform Scale its Social Channels

Redis Enterprise Helps Growing Real Estate Platform Scale its Social Channels

Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Platform as a Service (PaaS) - Data Management Platforms
Applicable Functions
  • Business Operation
Services
  • Cloud Planning, Design & Implementation Services
The Challenge
Real, a technology-powered brokerage platform for real estate agents, faced significant challenges as its user base grew. The company experienced difficulties with its existing databases, which were unable to efficiently operate within a microservices framework. These databases were also too complex for new application development, leading to issues in scaling and administration. Real needed a database solution that could manage its microservices environment and provide stable performance for its social channels.
About The Customer
Real is a technology-powered brokerage platform designed to help real estate agents serve their clients better and achieve their goals faster. The platform offers on-demand enterprise support, technology, marketing tools, and additional income opportunities. As the user count on Real's platform increased, the company began to experience issues with scaling and complications with its current databases. Real required a database solution that could efficiently manage its microservices environment and provide stable performance for its social channels.
The Solution
Real chose Redis Enterprise to address its database challenges. Redis Enterprise's ability to seamlessly scale, cluster, and auto-shard reduced downtime for Real's application and provided more stable performance for its social channels. The platform's high-speed transactions, user session store, and job and queue management capabilities were particularly beneficial. Redis Enterprise also allowed Real to avoid cloud vendor lock-in, offering greater flexibility and control over its data. The company increased its usage of Redis Enterprise as its application usage and user count grew, and it found additional data models and uses for the platform.
Operational Impact
  • Redis Enterprise provided Real with stability and high performance, crucial for managing its growing user base and social channels.
  • The platform's ability to seamlessly scale, cluster, and auto-shard reduced downtime and improved application performance.
  • Redis Enterprise's capabilities allowed Real to operate with fewer specialized personnel, simplifying database management and reducing operational complexity.
Quantitative Benefit
  • Reduced downtime: Beneficial
  • Ability to offer fewer specialized personnel: Highly beneficial
  • Higher, more stable performance: Beneficial

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