The Hadoop Ecosystem and a Modern Data Architecture
We’ve said many times that in order for Apache Hadoop to succeed as the next generation data platform and power the Modern Data Architecture there must be a thriving ecosystem of enterprise vendors around it. It’s been core to our strategy from day one to foster these ecosystem vendors and work collaboratively to make them successful.
Our strategy of delivering enterprise Hadoop as 100% open source has resulted in close alignment and tight partnerships with a broad Hadoop ecosystem with vendors large and small including major data management leaders like SAP and Teradata.
These partners contribute to and augment Hadoop with given functionality, and this combination of core and ecosystem provides compelling solutions for enterprises whatever their use case. Major infrastructure vendors like Microsoft, Red Hat and Rackspace are contributing to the future of Hadoop and integrating their tools to enable the enterprise to take advantage of the promise of Hadoop. Leading data management and analytics vendors such as Teradata and SAS are integrating in way that creates seamless interoperability with enterprise Hadoop.
Ecosystem Backing for Enterprise Hadoop Vision
What do those partners have to say about our vision for Enterprise Hadoop and the modern data architecture it enables?
Integrating Hadoop in a Modern Data Architecture
There are many different points of integration that the ecosystem uses to tie their products into Hadoop enabling the enterprise to reuse their existing skills.
Examples of partner integrations include:
Business Intelligence and Analytics: All of the major BI vendors offer Hadoop integration, and specialized analytics vendors offer niche solutions for specific data types and use cases.
Data Management and Tools: There are many partners offering vertical and horizontal data management solutions along side Hadoop, and there are numerous tool sets – from SDKs to full IDE experiences – for developing Hadoop solutions.
Infrastructure: While Hadoop is designed for commodity hardware, it can also run as an appliance, and be easily integrated into other storage, data and management solutions both on-premise and in the cloud.
Systems Integrators: Naturally, as a component of an enterprise data architecture, then SIs of all sizes are building skills to assist with integration and solution development.
Vendors at each of these layers help complete the modern data architecture that is being used to power the next generation of analytic applications for the enterprise.
- You can read more about Hadoop’s role in the Modern Data Architecture by reading our white paper.
- You can try partner solutions at different layers in the MDA by trying our Sandbox and partner tutorials.