Case Studies Drivy Trusts Redis Enterprise as the Database for Real-Time Analytics & Fraud Detection

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	Drivy Trusts Redis Enterprise as the Database for Real-Time Analytics & Fraud Detection

Drivy Trusts Redis Enterprise as the Database for Real-Time Analytics & Fraud Detection

Technology Category	Analytics & Modeling - Real Time Analytics Application Infrastructure & Middleware - Data Exchange & Integration Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries	Automotive Transportation
Applicable Functions	Business Operation Sales & Marketing
Use Cases	Fraud Detection Real-Time Location System (RTLS)
Services	Cloud Planning, Design & Implementation Services System Integration
Challenge	Drivy is a small but quickly-growing business. Drivy plans on expanding to other European countries, starting with the U.K. Drivy has had over 1.4 million Rental days logged and nearly 1 million users ever since the platform was created on 2010. With this uptick in growth and a relatively small operational team, Drivy needed to scale its mobile and web app seamlessly without sacrificing performance. Here are a few other challenges that led Drivy to evaluate and ultimately select Redis Enterprise: Values Redis Enterprise’s ability to provide: High availability persistence, auto-failover, cross-zone / multi-region / multi-datacenter in-memory replication Seamless scaling & clustering Stable, high performance Read More
About Customer	Drivy provides peer-to-peer car rental services in Europe through an online platform. Based out of Paris, it connects individuals or legal entities who would like access to a vehicle for a short rental period with available cars (no driver included). Drivy is seeing an increasing user count and chose Redis Enterprise to tackle its scaling needs. Read More
Solution	Drivy uses several application components featured in Redis for its mobile and web apps. Drivy now holds information for 36,000 cars in its platform and this number is steadily increasing. As their user base and list of rentals grow, so does the need for a scalable database management tool that wouldn’t lose out on performance; customers expect quick turnaround on available rental cars and accurate profile information. The key features and functionalities of Redis Enterprise that Drivy uses: Uses Redis Enterprise for the following: User session store Job & queue management Scalability tier / content caching Throttling, Feature Flipper, Autocomplete, Locking, Short-Term Analytics Logging, light KV store Is using Redis Enterprise in the following solutions: E-commerce Fraud detection Analytics Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Application Infrastructure & Middleware - Data Exchange & Integration

Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

Automotive

Transportation

Applicable Functions

Business Operation

Sales & Marketing

Use Cases

Fraud Detection

Real-Time Location System (RTLS)

Services

Cloud Planning, Design & Implementation Services

System Integration

Challenge

Drivy is a small but quickly-growing business. Drivy plans on expanding to other European countries, starting with the U.K. Drivy has had over 1.4 million Rental days logged and nearly 1 million users ever since the platform was created on 2010. With this uptick in growth and a relatively small operational team, Drivy needed to scale its mobile and web app seamlessly without sacrificing performance. Here are a few other challenges that led Drivy to evaluate and ultimately select Redis Enterprise: Values Redis Enterprise’s ability to provide: High availability persistence, auto-failover, cross-zone / multi-region / multi-datacenter in-memory replication Seamless scaling & clustering Stable, high performance

About Customer

Drivy provides peer-to-peer car rental services in Europe through an online platform. Based out of Paris, it connects individuals or legal entities who would like access to a vehicle for a short rental period with available cars (no driver included). Drivy is seeing an increasing user count and chose Redis Enterprise to tackle its scaling needs.

Solution

Drivy uses several application components featured in Redis for its mobile and web apps. Drivy now holds information for 36,000 cars in its platform and this number is steadily increasing. As their user base and list of rentals grow, so does the need for a scalable database management tool that wouldn’t lose out on performance; customers expect quick turnaround on available rental cars and accurate profile information. The key features and functionalities of Redis Enterprise that Drivy uses: Uses Redis Enterprise for the following: User session store Job & queue management Scalability tier / content caching Throttling, Feature Flipper, Autocomplete, Locking, Short-Term Analytics Logging, light KV store Is using Redis Enterprise in the following solutions: E-commerce Fraud detection Analytics

Impact #1	Thanks to Redis Enterprise, Drivy has been able to achieve sub-millisecond latency it requires throughout each of its cycles of user growth.
Impact #2	Drivy chose Redis Enterprise for its stability and continuous performance and achieve some of the following results: Have seen the following improvements from choosing Redis Enterprise as their Redis deployment provider compared to their previous state: Reduced downtime: up to 30% Fewer specialized resources: up to 30% Higher and more stable performance: 30-50%
Impact #3	Their use of Redis includes data that is not stored in any other database.

Impact #1

Thanks to Redis Enterprise, Drivy has been able to achieve sub-millisecond latency it requires throughout each of its cycles of user growth.

Impact #2

Drivy chose Redis Enterprise for its stability and continuous performance and achieve some of the following results: Have seen the following improvements from choosing Redis Enterprise as their Redis deployment provider compared to their previous state: Reduced downtime: up to 30% Fewer specialized resources: up to 30% Higher and more stable performance: 30-50%

Impact #3

Their use of Redis includes data that is not stored in any other database.

Benefit #1	Reduced downtime: up to 30%
Benefit #2	Fewer specialized resources: up to 30%
Benefit #3	Higher and more stable performance: 30-50%

Benefit #1

Reduced downtime: up to 30%

Benefit #2

Fewer specialized resources: up to 30%

Benefit #3

Higher and more stable performance: 30-50%

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Overview

Drivy Trusts Redis Enterprise as the Database for Real-Time Analytics & Fraud Detection

Operational Impact

Quantitative Benefit