Non-Stop Hadoop

WANdisco's patented Non-Stop technology delivers the first and only continuous availability solution for globally distributed Apache Hadoop deployments with HBase. Whether a single server or an entire site goes down, Hadoop and HBase are still available.

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Non-Stop Hadoop for Hortonworks

Hortonworks Data Platform (HDP) provides the critical enterprise services required to reliably and cost-effectively capture, process and share data in any format at any scale. Now, WANdisco's Non-Stop technology enables 100% uptime for globally distributed HDP deployments using HBase.

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Non-Stop Hadoop for Cloudera

Cloudera's full suite of real-time data analytics and data management applications leverage WANdisco's Non-Stop technology for continuous CDH availability across data centers any distance apart. Non-Stop Hadoop for Cloudera is available with full support for HBase.

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WANdisco is enabling us to make a real shift in medical care. Rather than just helping people when they are sick, we now are able to identify what can be done to keep people well. We haven't found any other technology that can provide us with the 100% uptime and performance we need to offer this level of care and save lives.SAP Quote

- Charles Boicey, Informatics Solutions Architect, UCI Health

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Global organizations require big data solutions that can meet stringent data and availability needs across wide geographies. We believe the integration of WANdisco’s active-active replication technology with the Hortonworks enterprise Apache Hadoop distribution makes sense for SAP customers looking to leverage big data.SAP Quote

- Irfan Khan, senior vice president and general manager, SAP Big Data, SAP.

Big Data

GigaOm Research White Paper: “How Hadoop passes an IT audit”

This white paper places Hadoop in the context of enterprise IT and helps those managing Hadoop platforms make it responsive to the enterprise's data governance policies and processes.

Big Data

Free eBook from O’Reilly: “The Culture of Big Data”

The Culture of Big Data describes the cultural challenges that accompany efforts to create and sustain big data initiatives in an evolving world rooted firmly in data warehouse architectures.