XAP In-Memory Data Grid is a cloud-native high throughput and low latency application fabric that empowers real-time event-driven microservices and distributed applications at high scale. Top Fortune-500 organizations, within Finance, Retail, Telco, and Transportation, depend on XAP In-Memory Data Grid for extreme transaction processing and real-time distributed applications.
Run your business logic close to where the data resides in a highly efficient, distributed, manner. Process millions of events at sub-second latency. Maintain data locality per site for performance and latency. Accelerate batch analysis jobs in order of magnitude from hours to minutes.
Scale up with more data and processing power based on your needs across hundreds of nodes. Deploy anywhere – Cloud, On-Premise and Hybrid. Run on any hardware – from commodity hardware to Enterprise-grade machines.
Use a fully transactional, ACID-compliant in-memory data grid with a unified clustering layer to provide a highly available and reliable service, and strong consistency in the transaction level for accurate analytics.
Ensure business continuity for immediate recovery at no data loss, leverage multi-region support to protect against data center power failure and allow for auto-recovery and self-healing. Plan your disaster recovery strategy using our geo-redundancy capabilities to replicate your data and store this backup data in a separate physical location just in case one site fails.
This financial services company provides wealth management, asset management, and investment banking services for private, corporate, and institutional clients worldwide. They have trillions of invested assets and area leading provider of retail banking and commercial banking services, operating in more than 50 countries.
This customer was looking to provide large-scale post-trade processing in real-time. They needed to enforce data quality and consistency along with simplifying integrations between network components for a Risk Result Store for Investment Banking supporting ~60 million events created per day supporting over 40 applications.
The GigaSpaces in-memory real-time analytics platform provides the necessary high-throughput data ingestion and analytics; federating analytic queries across many data stores (IMDG, Oracle). The solution supports ~5M reported and reconciled trades per day; ~1M risk exceptions are assessed per day; and over 40 applications access and analyze this single source of truth.
When SaaS healthcare provider – Pharmacy OnceSource – sought a solution to support their growth and resolve massive data bottlenecks that were affecting performance, they selected GigaSpaces. Pharmacy OneSource was looking for efficiency, performance, scalability, and a platform that would provide a bridge to the cloud. What they got exceeded their highest expectations.
Find out how this fast-growing SaaS vendor significantly improved patient care for over 1,300 US hospitals within 5 months, and freed up $20M from their bottom line.
In today’s “Now Economy,” consumers demand highly relevant and hyper-personalized experiences as they interact with brands on a multitude of devices and channels, expecting a seamless shopping journey. Online retailers must consolidate and analyze the customers’ real-time and historical data from all engagement channels, in the moment, to offer a highly personalized shopping experience.
This case study discusses how PriceRunner, a leading price comparison site in the Nordics and UK, provides consumers impartial, real-time comparisons, and how they support high peak periods such as the night before Black Friday without compromising performance. The solution leverages GigaSpaces always-on in-memory computing platform with Apache Kafka stream processing and Elastic search’s search engine. The GigaSpaces Platform provides a load-balanced environment that can flexibly and quickly scale out when necessary without compromising performance and speed.
This top 10 European banking and financial services company, is active across Europe, the USA and Asia-Pacific, and focuses on retail banking, corporate investments and global investments.
This customer was looking for a caching and data replication platform integrated on top of an Oracle solution to build platform services for their trading and investment management system. Specific Queries and analytics were required including
With GigaSpaces’ in-memory real-time analytics platform and GigaSpaces WAN Gateway, this customer was able to simply configure for multi-site replication and achieve real-time access and reporting on 15 days of data:
The solution also allowed for high availability at all times.
A leading global supplier of communication and information solutions for mission-critical applications develops communication and information systems in fields such as air traffic management and public safety & transport.
The customer was looking to seamlessly and effectively manage public safety with next generation control centers and dispatchers. They required:
GigaSpaces in-memory real-time analytics platform integrated voice and data into one modular, scalable IP-based infrastructure including recording for training and incident investigation. The solution:
Black Friday/Cyber Monday sales were bigger than ever in 2017, as sales for the holiday hit about $3.34 billion on Black Friday and even higher on Cyber Monday: $3.45 billion. That’s $6.79 billion in two days.
With such record-breaking online sales, it’s a real shame if your site is down.
Peak load performance often tends to stretch any system behavior in areas that are least expected and thus are often hard to handle. Quite often, peak loads lead to unexpected downtime.
With GigaSpaces you can avoid eCommerce crashes or slowdowns and ensure business continuity. Download our case study to learn about how GigaSpaces can help retailers prevent downtime more effectively and achieve 100% uptime at all times.