The Hortonworks Blog

Posts categorized by : Partners

Today we announced an alliance agreement with Avanade, a business technology, cloud and managed services provider, to build new big data solutions and services based on Microsoft technologies. Avanade’s data analytics deployments for enterprise clients with Microsoft Windows Server and Azure environments will turn to Hortonworks Data Platform (HDP) on Windows and Microsoft Azure HDInsight – Microsoft’s 100 percent Apache Hadoop-based service in the Azure cloud.

Together, Hortonworks and Avanade will help customers with their journey to a Modern Data Architecture on Windows.…

I can’t believe it’s been 6 months since we first announced for expanded strategic alliance with Red Hat. For those that have been following this partnership, you know our goal is simple — to help organizations adopt enterprise Apache Hadoop as part of their modern data architecture. Our expanded relationship with Red Hat is closely aligned around a strategy of innovating in the open and applying enterprise rigor to open source software, thereby de-risking it for the enterprise, and allowing faster adoption for Enterprise Apache Hadoop.…

Today we are excited to announce a deepening of our strategic partnership with HP . This news builds on the reseller partnership that we established in 2013 enabling HP to resell the Hortonworks Data Platform. It also allows us to build on the HP AllianceOne ConvergedSystems Partner of the Year Award that we received at the recent HP Discover 2014 conference for our strategic partnership.

Given the rapid adoption of Enterprise Hadoop as a core component of a modern data architecture combined with the fact that HP is the world’s leading server vendor in terms of shipments AND revenues according to IDC – meaning a significant number of those Hadoop nodes are being deployed with HP technologies – it’s hardly surprising that we’ve been collaborating closely.…

Today we are delighted to announce the formal partnership between Accenture and Hortonworks, which is the continuing evolution of the ongoing collaboration between the two companies which started in 2012. With this formal agreement, Accenture and Hortonworks will collaborate on making large structured and unstructured datasets – including operational, video and sensor data – more accessible to organizations for insight-driven decision-making. Together, the two companies will continue to collaborate on joint horizontal and vertical solutions to speed the adoption of Apache Hadoop.…

Oscar Padilla, Vice President of Strategy at Luminar, is our guest blogger. He shares his thoughts and insights about Apache Hadoop, Hortonworks Data Platform, and Luminar’s journey to the Data Lake.

Luminar is the first big data analytics provider focused specifically on U.S. Latino consumers. Our company offers analysis based on empirical insights, rather than with a sample-based approach. Apache Hadoop and Hortonworks Data Platform (HDP) make this empirical approach work at scale.…

Customers’ Hadoop Journey

We’ve all had two weeks to reflect on Hadoop Summit 2014. One of the biggest differences that stood out in this year’s Summit (as compared to Summit 2013) was the presence of large enterprise customers that are using Apache Hadoop as an important part of their modern data architectures.

Hadoop has gone beyond its original Yahoo use case—indexing the web via a nightly batch MapReduce process —and into the mainstream of daily data processing and analytics with real-time, online, interactive, and batch applications at many notable companies.…

Apache YARN Ready Program

With the release of Apache Hadoop YARN in October of last year, organizations are moving from single-application Hadoop clusters to a versatile, integrated Hadoop 2 data platform hosting multiple applications — eliminating silos, maximizing resources and bringing true multi-workload capabilities to Hadoop.

Customers are telling us loud and clear: they want solutions that run on YARN because it enables them to run multiple workloads on the same common data pool.…

As SAP’s only partner for 100% open source Apache Hadoop we’re excited to be sponsoring and exhibiting at SAP SAPPHIRE NOW + ASUG Annual Conference. Orlando, FL. June 3 – 5.

Join us at SAPPHIRE NOW at booth #1611 to learn more about Hadoop and the integration of the SAP suite of solutions and Hortonworks Data Platform (HDP). We’ll have technical and sales specialists there to address any of your questions.…

Join us for an update on Hortonworks strategy and market perspective, successes and key learnings exclusively for Hortonworks partners and prospective partners. Hortonworks’ executives are hosting this informative afternoon with the goal of helping grow the Hadoop ecosystem and your big data business. The event will take place the day before Summit begins on June 2nd, from 2-5pm at the San Jose Convention Center. Register here, – space is limited.

Note: This is not part of the Hadoop Summit.…

There’s no denying that the information collected by Big Data architectures such as Hortonworks Data Platform (HDP) is revolutionizing how enterprises view and understand their business. The data contains deep insights into many aspects of the business such as sales, customer trends and buying patterns.

The problem has been not only how to extract those insights from the data but how to get it quickly and easily into the hands of the people who need it the most. …

As enterprises build new applications with the data they cost effectively capture and process with Apache Hadoop it is important for the platform to facilitate the app dev processes. That’s why we are excited to announce that we’ve expanded our partnership with Concurrent, Inc. to simplify and accelerate application development on Hadoop.

There are two components to this expanded partnership.

Yesterday our partner Teradata announced a new capability called Teradata QueryGrid that further deepens the integration between the Teradata Data Warehouse and the Hortonworks Data Platform. This announcement is important because it delivers on the promise and the value of the Modern Data Architecture by demonstrating how the two technologies complement each other for the enterprise.

Teradata pioneered deeper integration with Apache Hadoop through integration with H-Catalog initially with Aster SQL-H and then the Data Warehouse and now they have taken it to the next level with Teradata QueryGrid.…

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.

Download our Whitepaper: Hadoop and a Modern Data Architecture.

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.…

We love to hear examples from the ecosystem of how organizations are benefiting from Hadoop and today Hortonworks partner Microsoft posted a great detailed case study on how one of their partners – Ascribe – is using Microsoft’s HDInsight Service, their cloud based 100% Apache Hadoop service to transform healthcare in the UK.

Ascribe is a UK based company focused on solutions for the healthcare industry and was an early adopter of HDInsight which is built using the Hortonworks Data Platform.…

Compuware is a Hortonworks Technology Partner and this week announced the availability of the newest release of APM for Big Data.  This release provides enhanced support for Hadoop 2.0 and Hortonworks Data Platform (HDP) 2.0

Compuware’s APM for Big Data now provides greater visibility into Hadoop job details with out-of-the-box dashboards that require no configuration. The graphical dashboards expand insight and ease of analyzing Hadoop deployments.  With the Hadoop focused dashboards, customers can get information about any Hadoop cluster and summarized overviews of cluster utilization across users, jobs, pools, queues and more.…

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