IoT solutions, such as the above, collect and process large volumes of data from many devices – sensors, machines, cameras, appliances, etc. deployed in the field. The data exchange is often bidirectional as these solutions control devices by sending them time-critical messages and commands. IoT solutions require high performance databases and messaging platforms. Traditional databases typically cannot keep up with the volume, cost and agility required.
How Redis Enterprise Makes it Easy
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Why this is Hard With Other Databases:
Most other databases require huge amounts of resources to handle millions of IoT transactions per second with sub-millisecond latencies.
The data needs for IoT solutions range from handling streaming data to real-time analytics. Architecting a solution using multiple specialized databases may get too complex.
Deploying specialized databases at the edge requires substantial hardware resources, particularly to handle the volume and variety of data involved. Most RDBMS or disk based databases require many expensive servers to handle data ingest or transformation.
Redis Enterprise for IoT
Fast time to market:
Built-in data structures, modules, publish-subscribe capabilities give Redis Enterprise an unbeatable advantage in delivering reliable IoT solutions. Redis’ small footprint allows for its deployment on devices such as the Raspberry Pi, with corresponding scalable Redis Enterprise deployments both at the edge and in the cloud, to process any data type and volume with the most efficient use of hardware.
Redis Enterprise takes all the operational hassle out of deployment, availability and scaling through automation of the critical processes for managing Redis databases and with technology that incorporates failure protection against every scenario. With multiple deployment options, Redis Enterprise solves for devices, edge and elastic on-premises or cloud environments that support IoT environments.
Redis Enterprise maximizes the power you can get from your infrastructure by delivering millions of reads and writes/second with just a few servers, through utilization of all available virtual or physical cores for computing and built-in multi-tenancy with controls for balancing and re-balancing shards to ensure consistent performance. By extending Redis to utilize Flash memory as a RAM extension, Redis Enterprise delivers the perfect balance of memory-like performance at SSD-like costs.