TrustRadius Insights
1. Limited Community Support: Some users have expressed dissatisfaction with the relatively new and in need of improvement HDP community, …
Overview
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,…
Recent Reviews
Product Demos
Demo: HDP Management & Monitoring Services (Product Demos)
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Hortonworks, LAS Advanced Analytics and Automation within the Oil and Gas Industry
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Demo: HDP Data Integration Services (Product Demos)
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Deployment of Hortonworks (HDP) Data Platform 2.2.4 using Apache Ambari 2.0 on Microsoft Azure VM
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Product Details
- About
- Tech Details
What is Hortonworks Data Platform?
Hortonworks Data Platform Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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Reviews and Ratings
(36)
Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Recommendations
Based on user reviews, users recommend the following for Hortonworks:
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It is recommended to learn Big Data concepts before using Hortonworks. Having a solid understanding of Big Data will help users effectively implement their projects using this platform.
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Users suggest considering HDP (Hortonworks Data Platform) for long-term use as it is built on Hadoop and is expected to support a wider range of projects in the future. Choosing HDP will provide access to more advanced features and ensure long-term success.
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Ambari, the Cluster Management Tool, needs to improve its features to compete with other options. Users suggest that major enhancements should be made to Ambari's functionality to make it more competitive among its counterparts.
In summary, users recommend learning Big Data concepts beforehand, considering HDP for long-term projects, and evaluating Ambari's features when selecting a Hadoop vendor.
Attribute Ratings
Reviews
(1-4 of 4)Companies can't remove reviews or game the system. Here's why
December 15, 2020
Experience with Hortonworks data Platform
We use [Hortonworks Data Platform] in our big data development process data pipeline. In our test environment, we develop some applications. We install a physical cluster and use it for both competence center research and proof of concept design and for development purpose. Some projects are now in production environments for our customer
- Monitoring console
- Spark data processing
- UI application
- Acl with ranger in service and hdfs data
- Upgrade service version require OS competence
- Search features like cloudera search
- 3 projects in production environemts
- Use to check distributed algorithm performance without cloud costs
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
October 02, 2017
Best commercial hadoop distribution product
We use our hortonworks hadoop cluster to process web & email logs. It has enabled us to process huge volume of data much quicker. It is widely used across the company!
- HDP is the closest to an open source platform you can get in hadoop ecosystem with more choice of tools than everything else. The convenience of Ambari UI and API for building, deploying and managing the cluster makes it relatively easy to get started.
- With Yarn and Spark you can mix different nodes for storage and compute and master nodes to manage loads.
- The tez engine - hortonworks sandbox which can be installed for learning and development purposes.
- Version upgrades are more challenging than anticipated. Each upgrade has its own quirks and compatibility issues that need to be resolved manually.
- Real time analytics like impala is unavailable.
- Monitoring isn't that great. Ambari Management interface on HDP is just a basic one and does not have many rich features.
- Enterprise support cost is lower as compared to CDH (per node).
- Employs Committers of Top Apache Projects (HDFS,YARN,HBase,Hive,Pig, etc).
- Version upgrades require manual work.
- 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
- Building and deploying large scale Hadoop/Hive/Yarn/Spark clusters with hundreds of nodes in distributed environments on Cloud
- Process Web/Mobile traffic and provide customizable customer experience
- Advanced Analytics picture of customer behaviors and shopping patterns
- Provide personalized website for each customer based on their needs
- Use it to handle the entire catalog of major retailers
- Knowledge base of the original committers
- SmartSense of HDP is a great way of understanding the problems before they happen
- Integrates very well with Apache Phoenix (SQL on Hadoop)
- Very good support team
- Provides more features for the money
- Licensing cost is high when compared to other distribution partners
- VM setup - It's not as good as what Cloudera provides
- Monitoring isn't that great. Ambari Management interface on HDP is just a basic one and does not have many rich features
- Version upgrades are more challenging than anticipated. Each upgrade has it's own quirks and compatibility issues that need to be resolved manually
- Improved data analysis (especially for our size of data) time by over 150%
- Increased revenue by 60% by better predicting customer needs/way they interact with the system
- Reduced developer time in crunching numbers significantly
- 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
November 18, 2015
HDP, a Non-Proprietary Hadoop Solution.
We use Hortonworks Data Platform to analyze time-stamped sensor data with log data.
- First, Hortonworks Data Platform is 100% open source and has no proprietary software. Thus, we don't need to worry about an exit plan.
- Next, Hortonworks Data Platform is simple and well documented so that it is easy to implement clusters by following the documents.
- Then, Hortonworks Data Platform updates new technologies for everyone as open source frequently.
- And finally, it's easy to update new versions of Hortonworks Data Platform.
- Hortonworks Data Platform only provides a Hadoop platform. You must build your application by yourself.
- It is difficult to stream process data. Again, you must configure the stream data process by yourself.
- Ability to analyze data in a different format efficiently is a positive impact of using Hadoop.
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.
No
- Price
- Product Features
- Product Usability
100% Open Source.
I would not change the evaluation and selection process.
- Implemented in-house
No
Change management was minimal
We implemented it for department use and there's no change of management.
- Hadoop is very sensitive on name.
- Better Static IP.