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NuoDB For Financial Services

Financial services leaders require a first class, cloud-native relational database to build solutions that deliver the horizontal scalability, reliability, and performance their customers demand. 

To deliver scalable and reliable solutions, they must seek solutions for which the following technical capabilities are top of mind:

  • New & existing SQL mission-critical applications
  • High frequency OLTP workloads
  • Elastic capacity
  • Always-on configurable redundancy
  • Moving to microservices & containers
  • Active/Active multi-master

Core Banking

 

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Compliance

 

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NuoDB named one of Santander UK’s “carefully selected partners that have been critical for its ongoing digital transformation." 


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The NuoDB Architecture

Traditional relational database management systems (RDBMS) perform well on-premises, though they require significant investment in pre-provisioning for maximum anticipated demand, in addition to multiple backup and emergency systems, each with the same specifications. These costs are significant, and they result in a database that can’t scale out and back based on demand.

Traditional RDBMS ArchitectureTraditional RDBMS ArchitectureNuoDB ArchitectureNuoDB Architecture

Distributed SQL architecture uses a two-layer abstraction that separates application requests from storage processing, enabling scale out flexibility and continuous availability. Because transaction processing scales independently of storage management, your banking application is able to process all the queries that come in extremely quickly - whether during close of business day, month, or year. Multiple copies of the storage management layer provide durability regardless of network, software, and hardware failures - and all data is highly consistent across nodes.

Why NuoDB Distributed SQL for Financial Services?

Scale:

Horizontally scale out compute or redundant storage based on real-time demand, without stopping database services or over-provisioning your RDBMS.

Performance:

Rely on in-memory caches to automatically adjust for optimal workload performance based on access patterns—without sharding the database.

Availability:

Perform upgrades and withstand potential failure at all levels—of a process, a host, or a data center—while maintaining application availability.

Flexibility:

Run in your environment of choice: on-premises, in containers, in one or more clouds, or in a hybrid-cloud deployment.

 

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