Big Data use cases are diverse and their optimization requires differentiated technical architectures. Bull has designed pre-built systems tailored to different use cases. They allow you to summon the most suitable technological architecture, whether it is for real-time or quasi real-time processing to either deal with massive data, or for complex event processing, data streams processing, with all kinds of architectures: distributed, massively parallel, 'in-memory', etc.
These pre-integrated systems complete Bull analytical infrastructure portfolio (Fast-track, massively parallel appliances). They also allow to cross the information system traditional data (production system, data warehouse) and external data - structured or unstructured - to develop new use cases.
EMC, Gigaspaces, MapR, Microsoft, MongoDB, Parstream, Pivotal, QuartetFS, SAP, Sinequa, Software AG, Tibco
Bull also works with many Open sources solutions in the Hadoop, NoSQL, newSQL and CEP ecosystem.
Manufacturing – « What businesses can learn from big data and high performance analytics in the manufacturing industry’ »