The Power of One: IBM + Hortonworks drives advanced analytics

IBM® Db2 Big SQL Sandbox trial

IBM and Hortonworks® have partnered to bring you the future of data science. 

Sign up and easily experience and explore IBM Db2 Big SQL features on the Hortonworks Hadoop Platform. 

What is big data analytics?

Artificial Intelligence (AI), mobile, social and Internet of Things (IoT) are driving data complexity, new forms and sources of data. Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.

Big data is a term applied to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage, and process the data with low-latency. And it has one or more of the following characteristics – high volume, high velocity, or high variety. Big data comes from sensors, devices, video/audio, networks, log files, transactional applications, web, and social media - much of it generated in real time and in a very large scale.

Analyzing big data allows analysts, researchers, and business users to make better and faster decisions using data that was previously inaccessible or unusable. Using advanced analytics techniques such as text analytics, machine learning, predictive analytics, data mining, statistics, and natural language processing, businesses can analyze previously untapped data sources independent or together with their existing enterprise data to gain new insights resulting in better and faster decisions.



Provide low-latency support using a hybrid SQL on Hadoop engine for ad hoc and complex queries. You can also connect disparate sources using a single database connection.

IBM Big Replicate for Hadoop

Use enterprise-class replication for Apache Hadoop and object storage to replicate data as it streams in, so files don't need to be fully written and closed before transfer.

IBM Analytics for Apache Spark

Provide end-to-end Db2 for z/OS performance monitoring and management. You can replace ad hoc methods with best-practice technology that improves Db2 availability and reduces overall system costs.

Engage with an expert

Schedule a one-on-one call with an expert to learn about the IBM Hortonworks relationship and how we can help you extend data science and machine learning across the Apache Hadoop ecosystem.