A a high-performance solution for storing, managing, processing and analyzing tick data recorded (or purchased) from multiple data sources.

A set of services & libraries for application security, endpoints rate limiting, bandwidth usage controls, and network security.

It provides a generalised, low-latency queuing framework, for high-frequency data across multiple threads and processes, on a single host.

QUARK has built-in resilience with no single point of failure. It seamlessly recovers without any data loss and provides an enterprise distributed shared memory processing grid. It scales both linearly and vertically, with blisteringly fast performance. QUARK was designed to be as fast as possible on a single node. Vertical scalability reduces your latency, while horizontal scalability increases your throughput. Ideally, you want both these. Using Quark, you will need less nodes in your system.

NEBULUM forms the backbone for a resilient and scalable exchange solution. It provides order matching, validation, and risk checks with high capacity and low latency. It has a modular and flexible design which enables it to be used stand-alone, or seamlessly integrated with existing solutions.

CONVEX has been designed to support data sharing between processes on the same machine in the fastest way possible with minimal latency. It is suitable for ultra low latency solutions, around a micro-second, and high throughput systems, in the tens of millions of event/operations per second. MORPH provides a simple easy-to-use Map, Set, and Queue data structures. All data is persisted to ensure full resilience and to allow for playback. Disaster recovery and failover are fully handled with built-in replication. Unlike traditional data structures, these collections are shared between processes, so a value written to one process is immediately visible on the other.