Levyx Technology Selected by FX Market Leader Cobalt for Its Large-Scale Distributed Data Immutability Solution

Levyx Inc., whose high-performance, ultra-low latency data processing software simplifies Big Data infrastructure implementations, announced the signing of a license agreement with London-based fintech, Cobalt.  As part of the agreement, Cobalt will utilize Levyx’s Helium™ embeddable data engine for the on-disk storage in Cobalt’s data immutability solution.

Adrian Patten, Co-Founder and Chairman of Cobalt, said: “We are very pleased to have signed an agreement with Levyx to implement Helium. Having tried a number of other providers, Levyx stood out as the leader in this space. With their help we are enabling customers to make any data sets immutable at scale.”

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Reza Sadri, CEO of Levyx, said: “We are proud to be a part of Cobalt’s pioneering journey and are confident that they will have a meaningful impact on the future of FX trading. In fact, we see the transition toward distributed and decentralized ways of keeping track of records occurring beyond just the financial industry. Because of this trend, we expect the demand for Helium as an optimizing engine to grow in an expanding number of innovative blockchain applications.”

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Cobalt’s requirement involves the storage of billions of transactions in blocks of data across multiple datacenters and customers. Users need to be able to push peak rates of up to two million blocks per second into the system. Integrating with Helium, one of the world’s fastest key value stores that is optimized for flash memory, storage-class memory, and multi-core systems, has enabled the fintech to significantly improve its ingest/access speeds.

Levyx software technologies are hardware-independent and serve as enhancements to or replacements for many of the world’s most popular Big Data / Open Source packages, including RocksDB, Apache Spark, LevelDB, Java Hibernate and Memcached. Levyx’s Helium engine is one of the world’s fastest key value stores and is optimized for flash memory, storage-class memory, and multi-core systems.

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