Fusion ioMemory gives us the speed and scalability...to...scale our user base by the millions.- Patrik Torstensson, Architect, Spotify
Fusion-io solutions eliminate random workload performance deficiencies common to MongoDB, Cassandra and NoSQL databases, such as HBASE, while reducing the operational overhead of their conventional scale-out architectures. Fusion-based solutions deliver predictable and consistently high performance across the entire database, resulting in a more efficient overall system that can require fewer nodes, less DRAM, and use less energy for power and cooling.
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Cassandra is the leading NoSQL database for Big Data workloads. Fusion-io enables Cassandra to handle larger, more random workloads with fewer cluster nodes than is possible with any other persistent medium.Read Overview
Fusion-io’s flash memory products increase performance density in Cassandra nodes. This allows Cassandra architects to design clusters with less dependence on DRAM, while reducing cluster sprawl. Cassandra’s flexible configuration options make it easy for architects to design systems that use flash for performance-critical column families and disk capacity for archival column families.
MongoDB simplifies database operations for unstructured data, offering fast, scalable lookups without the overhead and size of traditional query language and the rigidity of a fixed schema. Figure 1 below illustrates how MongoDB reduces database schema complexity.Read Overview
When deployed in MongoDB NoSQL servers, Fusion ioMemory delivers a flexible, high-performance, low-latency database for big data. This enables the real-time analytics, data mining, and scalability required to handle continually growing data sets without the complexity of traditional disk-based and DRAM heavy systems. This solution has been proven across a growing set of customers, including Kontera and Aggregate Knowledge.
Time to insight will be valuable to derive business value and competitive advantage from Big Data.
Aggregate Knowledge’s ioMemory-based system achieved sub- millisecond searches on 1-billion documents
Add terabytes of flash per node, without aggregating multiple commodity SSDs and an expensive RAID card in JBOD mode
MicroAd supports 5-6x more MapReduce tasks per server with ioMemory than with SSDs
Cisco and Fusion-io partnered to validate a big data solution that achieved 1.2 million operations per second.
Fusion ioMemory delivers consistent, fast response times for random reads over 100-million records in a 1-billion record database
Fusion-io and SQRRL moved Accumulo’s HDFS off disks and onto low-latency ioMemory to slash the system footprint 90%