Hortonworks Data Platform
Hortonworks Data Platform
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Pricing
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- No setup fee
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- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
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Product Details
What is Hortonworks Data Platform?
Hortonworks Data Platform (HDP) is an open source framework for distributed storage and processing of large, multi-source data sets. HDP modernizes IT infrastructure and keeps data secure—in the cloud or on-premises—while helping to drive new revenue streams, improve customer experience, and control costs.
Hortonworks merged with Cloudera in eary 2019.
Hortonworks Data Platform Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
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Reviews and Ratings
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December 15, 2020
Experience with Hortonworks data Platform
We chose [Hortonworks Data Platform] because it's free and because [it] was an IBM partner, suggested as big data platform after biginsights platform.
You can install in more physical computer without high specs, then you can use it in order to learn how to deploy, configure a complete big data cluster.
We installed also in a cloud infrastructure of 5 virtual machine
- Cloudera Manager and MapR
Hortonworks Data Platform is on par with, if not better than, Cloudera or MapR. It provides a big list of components (25-30) that you can pick and use based on your needs. It provides an easy and convenient way to add/remove any of those. It provides a good way of integrating and complimenting components. It provides a very good authentication and authorization using Knox and ranger as well as providing REST API for accessing most components. It has stayed competitive and striving to provide new capabilities as they become available.
December 13, 2018
Hortonworks Data Platform is a good choice for clinical data monitoring and analysis
Cloudera has been often compared to Hortonworks. We considered the both products and decided to try Hortonworks data platform, by several reasons. One of them was pricing and technical support. Generally speaking Cloudera outperforms Hortonworks in terms of functionalities, but Hortonworks was easy to learn for our first-time use big data analysts and developer. Its tutorials were great as well.
October 08, 2018
Hortonworks: based in the open, close to success
There are many alternatives, but in order to provide a short list:
- Cloudera CDP is the obvious contendant or alternative, being a leader in big data platforms
- MapR
Cloud options:
- AWS
- Azure
- Google
Also, it is worth noting that Hortonworks has been the replacement selected by IBM for its former BigInsights big data infrastructure offering.
October 13, 2017
Hortonworks is at the leading edge
Cloudera is a more mature platform. It does not require upgrades as often. However, if you need advanced capabilities, you might be lacking with the Cloudera distribution platform. Many of the other tools in the ecosystem are the same or similar. Cost might also be a factor; you will have to negotiate with both vendors to figure out a specific cost for your organization.
October 02, 2017
Best commercial hadoop distribution product
- cloudera
With its great performance and other benefits, we eventually moved from Cloudera to the Hortonworks platform.
September 29, 2017
Great Partner for Apache Hadoop
- Licensing cost is high when compared to other distribution partners
- VM setup - It's not as good as what Cloudera provides
- Even if it's a little pricier, I would recommend you to use HDP because in the longer run you want to use more projects that are built on Hadoop rather than just HBase or Search, and at that time, you would want a partner who can help
May 06, 2016
Hortonworks HDP makes Hadoop easier
While Apache Hadoop is completely open sourced, Hortonworks Data Platform offers support as well as keeps pace with the open source versions. Also, the HDP open sources its own products, thus giving back to the community. I find using the Hortonworks Data Platform more intuitive than Cloudera or MapR versions.
November 18, 2015
HDP, a Non-Proprietary Hadoop Solution.
Apache, Cloudera, MapR, and IBM.
Hortonworks Data Platform is more efficient to use than Apache since you don't need to configure everything by yourself. Again, Cloudera, MapR, and IBM is proprietary software.