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IBM Big SQL Overview

IBM Big SQL Overview

IBM® Big SQL is a hybrid SQL engine for Hadoop that enables you to easily query big data across the enterprise. You can use a single database connection or query to connect to disparate sources such as HDFS, RDMS, NoSQL databases, object stores and WebHDFS.

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IBM Cloud Data Services - Helping you gain more value from your data

IBM Cloud Data Services - Helping you gain more value from your data

Cloud Data Services provide a hybrid, open source-based approach that application developers, data scientists and IT architects seek to address their data-intensive needs and deliver both immediate and longer-term benefits.

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IBM Integrated Analytics System - Do data science faster

IBM Integrated Analytics System - Do data science faster

IBM® Integrated Analytics System drives the insights needed to maintain your competitiveness. It matches accelerated development and deployment times for your data scientists with a high performance, optimized and cloud-ready data platform.

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IBM Db2 Big SQL - An enterprise SQL on Hadoop engine for complex analytics and data virtualization

Jan 22, 2018

IBM® Db2® Big SQL is a hybrid SQL engine for Hadoop that delivers data querying for the enterprise. Use a single database connection or query to connect to disparate sources such as HDFS, RDMS, NoSQL databases, object stores and WebHDFS.

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Save up to 80% when you switch to IBM Db2 from Oracle® Database

Jan 22, 2018

Big savings and seamless integration when migrating from Oracle® Database. We will replace your Oracle® license on a 1:1 basis for ‘like’ functionality.

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IBM Watson Data Platform

Jan 22, 2018

Build smarter applications and quickly visualize, share, and gain insights from your data with Watson Data Platform. Collaborate with confidence between teams, from data scientists to developers, and across technologies from Cloudant to Data Science Experience.

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Hybrid Data Management - Gain value from your data, without limits

Jan 22, 2018

In today’s digital enterprise, fast and actionable insights are the goal. This is increasingly a tall order as data resides in higher volumes, in greater variety, and in more locations throughout the enterprise and as an increasing number of business users demand that data.

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