Run transactional and analytical workloads on your real-time data, enriching it with historical context using the fastest in-memory computing platform
InsightEdge is an in-memory real-time analytics platform for instant insights to action. It's an always-on platform for your mission-critical applications across cloud, on-premise or hybrid. The platform operationalizes machine learning and transactional processing, at scale; analyzing data as it's born, enriching it with historical context, for instant insights
XAP is the in-memory computing solution to scale your applications. Scale your business needs, from simple data processing to complex transactional workloads, all the way to leveraging hybrid storage and data center tiers
It needed to work. Period. And GigaSpaces helped us get the performance we needed. We like to think of GigaSpaces as better than Human Reaction time. It’s instantaneous
We are moving towards a more data-centric world which is forging a path to deeper insights. We’re not talking seconds. We are talking microseconds.
We have a 100% customer focus to provide the next generation of financial services and sought technology that would help us achieve this. GigaSpaces' technology allows us to increase customer satisfaction by facilitating better, user-friendly services, as well as new services, which ultimately enhances our bottom line.
We considered many points when evaluating different technologies as a core for our infrastructure. Upon reviewing the proof of concept, we saw that GigaSpaces' In-Memory Computing Platform would get us up and running quickly l while meeting and exceeding our long-term operational requirements in the electronic trading space.
GigaSpaces has allowed us to implement a global enterprise-wide trading platform with unparalleled flexibility and scalability.
Our customers need a solution that can handle heavy calculations simultaneously while ensuring performance, scalability and high availability. GigaSpaces' technologies combined with our solution gives our clients a clear competitive edge.
How can banks stay ahead of the data tsunami? Read VP Marketing Karen Krivaa's article, on page 11 of the latest edition of @JAXenterCOM magazine, explaining why banks need a system architecture that supports ingesting, processing and analyzing huge amounts of data.
How different industries are profiting from real-time data analysis. Read VP Marketing Karen Krivaa's article to know why real-time analysis is an essential capability to provide excellent customer experiences and to improve profitability.
How can banks stay ahead of the data tsunami? Read VP Marketing Karen Krivaa's article, on page 11 of the latest edition of @JAXenterCOM magazine, explaining why banks need a system architecture that supports ingesting, processing and analyzing huge amounts of data.
Drive your holiday e-commerce with real-time analytics. Read KarenKrivaa's article explaining how online retailers can benefit from offering a personalized experience for their customers.
IT leaders look at the road ahead and predict what's next for containers, security, blockchain, and more.
IoT projects risk failure without careful consideration of data management processes and analytics. Their ultimate goal after all is to glean valuable information from data coming from the ‘things’ on the network – sensors and smart devices – in order to act on it.
In-memory computing, where analytics are co-located with the data, provides the boost in speed that is critical to complete analysis and execute positions at almost zero latency. Read VP Product Yoav Einav's article on how faster processing can increase profitability for financial trading
