Unlocking the Cloud-Native Data Layer


Join us for RedisConf and Hackathon, April 20-21
Redis Enterprise, the only true datastore built for hybrid and multi-cloud with cutting edge Active-Active technology
Build cloud-native applications with speed and availability in mind. Redis Enterprise’s linear scalability with sub-millisecond latency, guaranteed five-nines uptime, and automatic conflict resolution for globally distributed applications ensures your application is always on and highly responsive. Redis Enterprise’s multiple data models coupled with extensibility that comes with purpose-built modules simplifies application development and decreases operational burden. Full utilization of infrastructure resources, native support for multi-tenancy, and intelligent tiered access to memory results in better management of cost.
Modern databases must always be on, and if they fail, they need to recover fast to minimize loss.
As your data grows, inefficient use of compute resources could result in high unwanted charges.
Modern applications must provide instant responses to users regardless of their distance.
To provide instant experiences to customers, the database can’t be the performance bottleneck.
To increase agility and improve performance, your data layer has to span across environments.
– Redis Enterprise
– AWS ElastiCache
Eliminate the need to operate and maintain specialty databases for every use case.
Redis Enterprise’s high availability and robust resilience, best-in-class performance with linear scalability, and purpose-built modules makes it perfectly suited to power globally distributed applications in many industries.
Redis Enterprise key differentiators | Redis Enterprise | AWS ElastiCache | |
High availability & resilience | Guaranteed SLA | ||
Supports automatic cluster recovery without data loss | |||
Supports data persistence and automatic backup without affecting performance | |||
Multiple data import/export options | |||
Performance & scalability | High throughput at sub-millisecond latency (200M ops/sec @ <1ms) | ||
Zero-latency distributed proxy to increase throughput | |||
Supports multi-core architecture and memory pre-allocation | |||
Deploy anywhere | As a fully managed DBaaS on public clouds | ||
As a managed Kubernetes service on public clouds | |||
Supports on-premises, multi-cloud, and hybrid deployments to avoid vendor lock-in | |||
Multiple data models | Core Redis data types, Pub/Sub, Streams | ||
Purpose-built modules (RediSearch, RedisGraph, RedisJSON, RedisTimeSeries, RedisBloom, RedisGears) for faster time to market | |||
Globally distributed | Active-Passive deployments that support both 1:many and many:1 replication—allowing for flexible cluster topology based on workload or business requirements | ||
Active-Active geo-distribution deployment based on academically proven CRDTs technology | |||
Lower TCO | Redis on Flash technology extends DRAM with persistent memory and SSD to store larger datasets without compromising speed | ||
Built-in multi-tenancy architecture allows deploying multiple Redis instances per node to fully utilize infrastructure resources | |||
True shared-nothing architecture to enable linear scaling and ensure resources are fully utilized |
To ensure reliable customer service, your applications and the databases behind them must be always available. Redis Enterprise safeguards your applications against downtime and data loss by utilizing technologies such as instant failure detection with single-digit-seconds auto-failover across racks, zones, and geographies; multiple data persistence options without affecting performance; and easy data import and export.
The modern data layer must scale easily to meet any growth demands. However scaling should be cost-effective and avoid degrading application performance. Redis Enterprise’s zero-latency distributed proxy increases throughput while maintaining sub-millisecond latency. Multiple Redis instances can be deployed on a single cluster node to fully utilize all available resources.
In a recent Gartner survey, 81% of respondents said they use two or more public cloud providers, however you might have already invested in on-premises infrastructure. Redis Enterprise can be deployed as a fully managed DBaaS over AWS, Microsoft Azure, and Google Cloud; as a managed Kubernetes service over EKS, AKS, and GKE; as a software on bare-metal, virtual machines, OpenShift, or PKS; or in a hybrid model to preserve operational flexibility and avoid vendor lock-in.
A true multi-model database must support popular data models, yet be extensible to foster innovation. Redis Enterprise incorporates 10 data structures and several purpose-built modules to provide best-in-class performance across use cases. Additionally, RedisGears, a serverless in-database engine, supports transactions and trigger-based events across Redis core and modules with sub-millisecond latency.
Building and deploying high-performing globally distributed applications can be challenging. Redis Enterprise’s CRDTs-based Active-Active technology delivers local latency for read and write operations regardless of the number of geo-replicated regions and their distance from each other, with built-in conflict resolution. It ensures business continuity even if the majority of replicas are down.
Redis on Flash extends DRAM with persistent memory and SSDs while still providing the speed Redis is known for, which makes it an ideal solution to host larger datasets. Redis Enterprise’s infinite linear scaling, powered by a true-shared nothing architecture and native multi-tenancy support, ensures you are not paying for compute resources you aren’t using.