Paris - 04 févr. 2016: IBM annonce aujourd’hui une extension de son portefeuille Cloud Data Services, avec plus de 25 services disponibles dès à présent sur le Cloud IBM. Ces services sont conçus pour aider les développeurs à construire, déployer et gérer les applications web et mobile mais également permettre aux data scientists de découvrir les « tendances cachées » en utilisant les données et l’analytique dans le Cloud. Les services Cloud hybrides peuvent être déployés à travers de multiples fournisseurs Cloud et sont basés sur des technologies open source et des écosystèmes ouverts qui incluent les données de l’entreprise ainsi que des données tierces, et des architectures ouvertes qui permettent aux données de circuler facilement entre les différents services.

En plus de toutes ces capacités disponibles en libre-service – allant de la préparation, la migration, l’intégration des données, à l’exploitation avancées et la modélisation des données - IBM annonce dès aujourd’hui de nouveaux Cloud Data Services :

• IBM Compose Enterprise: Une plate-forme conçue pour aider les équipes à développer plus rapidement des applications Web en leur permettant de déployer des bases de données open source « business-ready » en quelques minutes, sur leurs propres serveurs Cloud dédiés. 

• IBM Graph: Le premier service de base de données orientée graphe entièrement managé, construit sur Apache® TinkerPop, qui fournit aux développeurs une offre complète pour créer des applications directement utilisables, avec des recommandations en temps réel, la détection des fraudes, l’Internet des Objets et l'analyse des réseaux. 

• IBM Predictive Analytics : Un service qui permet aux développeurs de construire eux-mêmes et facilement des modèles de type machine learning à partir d’une large bibliothèque d’applications, pour les aider à livrer des prédictions sur l’utilisation de produits spécifiques, sans l’aide d’un data scientist. 

• IBM Analytics Exchange: Une solution ouverte d’échanges de données qui inclut un catalogue de plus de 150 jeux de données publiquement disponibles qui peuvent être utilisées pour des analyses ou intégrées dans des applications.

IBM Launches Cloud Data and Analytics Marketplace for Developers

Makes sweeping portfolio open for data scientists and app developers with more than 25 cloud data services and 150 publicly available datasets

ARMONK, New York - February 4, 2016: IBM (NYSE: IBM) today announced a broad expansion of its Cloud Data Services portfolio with more than 25 services now available on the IBM Cloud. They are designed to help developers build, deploy and manage web and mobile applications and enable data scientists to discover hidden trends using data and analytics in the cloud. The hybrid cloud services can be deployed across multiple cloud providers and are based on open source technologies, open ecosystems that include company and third-party data, and open architectures that allows data to easily flow amongst the different services.

In addition to self-service capabilities for everything from data preparation, migration, and integration, to tools for advanced data exploration and modeling, IBM introduced the following new cloud data services today:

·    IBM Compose Enterprise: A managed platform designed to help development teams build modern web-scale apps faster by enabling them to deploy business-ready open source databases in minutes on their own dedicated cloud servers.

·    IBM Graph: The first fully managed graph database service built on Apache® TinkerPop that provides developers a complete stack to extend business-ready apps with real-time recommendations, fraud detection, IoT and network analysis uses.

·    IBM Predictive Analytics: A service that allows developers to easily self-build machine learning models from a broad library into applications to help deliver predictions for specific product use cases, without the help of a data scientist.

·    IBM Analytics Exchange: An open data exchange that includes a catalog of more than 150 publicly available datasets that can be used for analysis or integrated into applications.

“Data is the common thread within the enterprise, regardless of where its source might be. In the past, data handlers have relied on disparate systems for data needs, but our goal is to move data into the future by providing a one-stop shop to access, build, develop and explore data,” said Derek Schoettle, General Manager, Analytics Platform and Cloud Data Services. “IBM’s integrated Cloud Data Services give developers greater scalability and flexibility to build, deploy and manage web and mobile cloud applications, and enable data scientists to apply information across businesses efficiently."

IBM Graph delivers the only enterprise-grade graph database as a service, built on Apache TinkerPop, the leading open source graph technology stack. Provided as a service, IBM Graph helps remove the complexities traditionally associated with moving data from existing databases to graph architectures.

"It is good to see Apache TinkerPop and the Gremlin graph traversal language being adopted as the primary interface to IBM's Graph service," said Marko A. Rodriguez, Apache TinkerPop Project Management Committee member. "IBM was instrumental in pushing TinkerPop to join the Apache Software Foundation which is important because Apache provides a commercial-friendly license and a tried-and-true open source development model that has done wonders for TinkerPop's software and community. I hope other other large enterprises follow IBM's decision to leverage Apache TinkerPop in their respective graph products and services."

The new offerings build on IBM’s significant investment in Apache Spark and further complement its mission to provide enterprise class support for open source developers and data handlers of any level. IBM has redesigned more than 25 of the company’s core analytics and commercesolutions with Apache® Spark™- helping to dramatically accelerate their real-time processing capabilities.

For more information on IBM’s Cloud Data Services portfolio, please visit: www.ibm.biz/open-for-data.

For more information on IBM Analytics, please visit www.ibm.com/analytics.