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Redis-Spark Timeseries benchmark

Redis Labs’ benchmarks using time-series data show that running Spark on Redis as a data store results in 135 times faster processing compared to Spark using HDFS and 45 times faster processing compared to Spark using Tachyon as an off-heap data store or Spark storing the data on-heap.


Redis on Flash with Intel NVMe benchmark

The combination of Redis on Flash and Intel NVMe delivers record breaking performance of 3 million operations per second with sub-millisecond latencies. Learn more about this revolutionary achievement.


Redis on Flash with Samsung NVMe benchmark

The combination of RLEC Flash and Samsung NVMe SSD has set a new industry performance record: delivering over 2 million operations/second, over 1GB disk throughput and over 1Gbps network throughput on a single server while keeping latency under 1 millisecond. This represents a 40X increase in throughput with NVMe based SSDs, while the cost of the new SSDs is likely to be only incremental compared to SATA-based SSDs. This signifies a generational change in the economics of in-memory computing.


NoSQL Performance Benchmark

Avalon consulting benchmarked a comparison of database throughput and latency across Couchbase, Datastax , Aerospike and Redis Labs for a high volume real -time write-intensive application. Redis Labs far surpassed the competition with up to 8 times the throughput at 50% lower latencies.


Six Essential Features for Highly Available Redis

This whitepaper benchmarks Redis deployments across different Redis- as- a- service providers and measures how long different providers take to fail-over and how many times data was recovered/lost.


Redis-as-a-Service Performance Benchmark

Altoros consulting benchmarked a comparison of Redis-as-a-Service providers including ElasticCache, Redis Green, Redis-To-Go and Redis Labs using a memtier benchmark and several Java based stress testing tools. Redis Labs’ throughput results topped the list.



Gartner Acknowledges Redis Labs as a Leader

In the 2015 Magic Quadrant for Operational Database Management Systems (ODBMS)


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