Trusted by 6 of the top 8 technology companies
As the cornerstone of virtually every technology product, data is mission critical to hardware, software, IoT, and mobile companies.
By their very nature, technology solutions are data-centric and rely heavily on underlying databases. In the age of mobile and connected Internet of Things (IoT) devices, as well as big data and artificial intelligence (AI), the velocity, volume, and variability of this data is constantly growing. To stay ahead of the competition, applications must support rapid data ingestion with sub-millisecond latencies to enable real-time analytics. They also need the ability to economically scale to accommodate heavy loads while maintaining stable performance and minimal downtime.
Today’s most disruptive technology organizations rely on Redis Enterprise to unburden their developers from operational complexity so they can focus on accelerating innovation and product delivery.
Redis Enterprise database recognized as a NoSQL leader
Forrester Research cited Redis Labs, home of Redis, as a Leader in The Forrester Wave™: Big Data NoSQL, Q1 2019.
NoSQL has become critical for growing technology companies to increase agility,and cost-effectively eliminate resource bottlenecks. Modern software applications built with microservices architectures depend on real-time data and require databases that can be deployed on multiple clouds, on-premises, or in a hybrid architecture. According to Forrester, half of global data and analytics technology decision makers either have implemented or are implementing flexible NoSQL platforms such as Redis Enterprise.
Redis Enterprise, the first and only true multi-model database
Technology organizations often struggle to maintain rapid innovation while keeping up with the high-throughput, low-latency requirements of their services using traditional databases that are too expensive, complex, and difficult to scale. Redis Enterprise, on the other hand, is an elegant multi-model database for heterogeneous data that breaks down data silos, simplifies operations, and enables real-time analytics for modern applications. It empowers developers with improved flexibility and rapid response times while bringing data models together into a unified platform.
Redis Enterprise delivers predictable sub-millisecond performance for large volumes of structured, unstructured, or semi-structured—and constantly changing—data, scaling easily to millions of operations per second.
Redis Enterprise use cases for technology companies
Session managementMany technology solutions require you to manage session data about the users who log into these applications. This might include simple profile attributes or preferences that need to be loaded frequently (often instantly) to achieve the best user experience. Redis Enterprise provides the data structures needed to manage this data and deliver it in a distributed, scalable fashion to users across different devices at sub-millisecond latencies.
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Real-time analytics on massive datasetsAs the world moves to analytics at the speed of transactions, technology applications are expected to instantaneously process and analyze extremely large datasets. Redis on Flash enables rapid processing, storage, and analytics of large datasets while optimizing costs with a combination of RAM and next-generation Flash memory.
Geospatial or time-series dataGeospatial, location, and time-series data are increasingly important for many technology applications, but they create complex big data challenges, including managing high-frequency reads, writes, and search requests at high volume, often with high variability. Redis’ versatile data structures include specific commands for simple, efficient, real-time queries and calculations over millions of these data points.
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High-speed transactionsComplex technology solutions often rely on high-speed transactions to meet high throughput and low-latency requirements. Redis powers <1ms operations with very few hardware resources even as your transactions scale, and effectively delivers atomicity, consistency, isolation, and durability.
CachingCaching is a technique frequently used to build highly responsive technology applications with low overhead. Redis is the best choice for your caching layer, due to its lean footprint, immediate time-to-value, and rapid response times. The platform’s data structure variety and customizable expiration, eviction, intelligent caching, request pipelining, and data persistence features ensure a highly available cache.
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