Misys Uses In-Memory Computing to Enhance FinTech Solution

Misys, a Leading FinTech Firm, Uses the GridGain In-Memory Computing Platform

Misys, a London-based financial services software (fintech) company, is relying on the GridGain Enterprise Edition to enable high performance, real-time data processing of massive amounts of trade and transaction date. Misys solutions are used by 48 of the world's largest 50 banks.

The Misys financial technology (fintech) software solution manages huge amounts of trade and accounting data. Misys opted to implement a new Java-based IT architecture in their fintech solution that would support the use of data lakes instead of traditional databases. Misys chose to deploy the GridGain Enterprise Edition to handle the caching of data from the data lake and distribute the cached data across a network cluster for massive parallel processing (mpp).

“With GridGain, we have achieved real-time processing of massive amounts of trade and transaction data, eliminating bottlenecks and enabling us to offer next-generation financial services to our customers,” said Felix Grevy, Director of Product Management for FusionFabric.cloud at Misys. 

Based on Apache® Ignite™, the GridGain Enterprise Edition can scale out data-intensive applications to petabytes of data and deliver a 1,000x improvement in transaction times versus disk-based approaches, without replacing the existing databases. GridGain provides high-speed transactions with ACID guarantees, real-time streaming, and fast analytics in a single, comprehensive data access and processing layer. GridGain powers applications in a distributed, massively parallel architecture on industry-standard hardware. The GridGain cluster can easily be scaled by adding more nodes to the in-memory computing grid. GridGain requires minimal or no modifications to the application or database layers for architectures built on all popular RDBMS, NoSQL or Apache™ Hadoop® databases.

Misys previously relied on batch processing of large amounts of transaction data. This resulted in delays before the data was available for querying. GridGain enables synchronous real-time processing and computation with low latency. It stores the data in memory and parallelizes processing across multiple machines in the cluster.

Misys is also using GridGain in its roll out of the FusionFabric.cloud services which integrates Misys trading systems and banking systems with cloud-based components. The service offers a business-wide, cross-silo approach to handling OTC derivatives, exchange-traded derivatives, inflation, fixed income, FX/MM, hybrids, and structured products from trading through to accounting. FusionFabric.cloud provides infinite computational elasticity and real-time risk analysis with full valuation, with the GridGain integration. GridGain also enables Misys to keep its document store of trade and market data in memory so it can run calculations in parallel, dramatically reducing processing time for compute-intensive calculations related to regulatory compliance.

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