IBM is expanding its Cloud Data Services portfolio with the addition of more than 25 services.
The services, which will be available on the company’s cloud platform Bluemix, are being aimed at helping developers and data scientists to build and move data into the cloud.
Designed to be hybrid cloud services, they are designed to 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 should help data to flow among different services.
Big Blue has added a number of self-service capabilities for functions related to data preparation, migration and integration in addition to tools for advanced data exploration and modelling.
In addition to these areas the company has created cloud services such as IBM Compose Enterprise, which is a managed platform that is designed to help development teams build web-scale apps more quickly. It will achieve this by enabling them to deploy open source databases in minutes on their own dedicated cloud servers, the company said.
IBM Graph is a step forward for the company and will appeal to users that want to use Apache TinkerPop and are fans of graph databases. This will be the first managed graph database service built on TinkerPop that will provide a complete stack to extend business apps with IoT, real-time recommendations, fraud detection and network analysis.
Graph will be provided as a service, the purpose of this is to not only give users additional functionality but to also make it easier to move data from existing databases to graph architects.
Content from our partners
Further additions have been made with Predictive Analytics, a service that will allow developers to build self-build machine learning models into applications. The purpose of this is to provide accurate predictions for specific product use cases.
The final update to the cloud platform is the Analytics Exchange, the open data exchange will include a publicly accessible catalogue of over 150 datasets that can be used for analysis or integrated into applications.
Derek Schoettle, General Manager, Analytics Platform and Cloud Data Services, IBM, said: "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."
The additional offerings are building on the company’s investment into Spark and other areas of support with open source development in mind.
So far the company has redesigned more than 15 of its core analytics and commerce solutions with Apache Spark as it aims to increase real-time processing capabilities.
