Hortonworks Data Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hortonworks Data Platform
Score 7.0 out of 10
N/A
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.N/A
Pricing
Hortonworks Data Platform
Editions & Modules
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Offerings
Pricing Offerings
Hortonworks Data Platform
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details—
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Community Pulse
Hortonworks Data Platform
Considered Both Products
Hortonworks Data Platform
Chose 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 …
Chose Hortonworks Data Platform
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 …
Chose Hortonworks Data Platform
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 …
Chose Hortonworks Data Platform
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
Chose Hortonworks Data Platform
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; …
Chose Hortonworks Data Platform
With its great performance and other benefits, we eventually moved from Cloudera to the Hortonworks platform.
Chose Hortonworks Data Platform
  • Licensing cost is high when compared to other distribution partners
  • VM setup - It's not as good as what Cloudera provides
Chose Hortonworks Data Platform
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 …
Chose Hortonworks Data Platform

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.

Top Pros
Top Cons
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Hortonworks Data Platform
Small Businesses

No answers on this topic

Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.7 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 8.8 out of 10
All AlternativesView all alternatives
User Ratings
Hortonworks Data Platform
Likelihood to Recommend
7.0
(9 ratings)
Implementation Rating
9.0
(1 ratings)
User Testimonials
Hortonworks Data Platform
Likelihood to Recommend
Cloudera
I find HDP easy to use and solves most of the problems for people looking to manage their big data. Evaluating the Hortonworks Data Platform is easy as it is free to download and install in your cluster. Single node cluster available as Sandbox is also easy for POCs.
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Pros
Cloudera
  • It does a good job of packaging a lot of big data components into bundles and lets you use the ones you are interested in or need. It supports an extensive list of components which lets us solve many problems.
  • It provides the ability to manage installations and maintenance using Apache Ambari. It helps us in using management packs to install/upgrade components easily. It also helps us add, remove components, add, remove hosts, perform upgrades in a convenient manner. It also provides alerts and notifications and monitors the environment.
  • What they excel in is packaging open source components that are relevant and are useful to solve and complement each other as well as contribute to enhancing those components. They do a great job in the community to keep on top of what would be useful to users, fixing bugs and working with other companies and individuals to make the platform better.
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Cons
Cloudera
  • Since it doesn't come with propriety tools for big data management, additional integration is need (for query handling, search, etc).
  • It was very straightforward to store clinical data without relations, such as data from sensors of a medical device. But it has limitations when needed to combine the data with other clinical data in structured format (e.g. lab results, diagnosis).
  • Overall look and feel of front-end management tools (e.g. monitoring) are not good. It is not bad but it doesn't look professional.
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Implementation Rating
Cloudera
Try not to change variable names.
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Alternatives Considered
Cloudera
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
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Return on Investment
Cloudera
  • It is difficult to have a negative impact, because the required investment is not that high.
  • The big open community behind Hortonworks and related Apache Project makes it easy to put 'the wheel to meet the road' quite quickly.
  • We have seen management meetings where the attendants were impressed by the results achieved with the datalake built on HDP.
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