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,…
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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
(1-3 of 3)Companies can't remove reviews or game the system. Here's why
Hortonworks Data Platform is one of the main solutions we have for Big Data components. We are using a lot of components like HDFS, HBase, Hive, Oozie, Storm, Kafka, Ambari, Zookeeper, Zeppelin, etc that are packaged and provided as part of the Hortonworks Data Platform.
It provides tools for us to manage big data components, store data raw in no SQL database, query, stream data, have projections on data from HDFS and HBase, etc. It also helps us build pipelines to ingest and perform some analytics on data.
- 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.
- One thing that could be improved is a browsing, querying, and analytics tool. Currently, Ambari views is the tool they provide to browse for example HDFS, etc. Even though it is improving, it still is not as useful as Hue which provides different kinds of editors, browsers and interfaces a better way like browsing HDFS, browsing HBase tables, accessing Hive and querying, etc.
- There are some works in progress or changes in direction with their different lines of products. They have Hortonworks Data Platform and Hortonworks Data Flow, among others, where storm and Kafka are supported. There was an effort to move storm and Kafka to HDF from HDP, which added some confusion as well as supporting on both later. It gets challenging to keep track of what to use where, and to keep up with version changes and compatibilities.
- Now with Hortonworks and Cloudera coming together, it gets more confusing which of the components are going to be supported, promoted, merged. Both have competing products and some complimentary products. We're hoping to see it will have a good mix that is going to get the best products from both suites into one, but it will be a challenging year or two until that evolves.
- It provides a convenient way of quickly setting up a big data environment, easily setting up clusters with different configurations. It provides several security architectures that can be used as well. Since it provides a big list of components and packaged together, it is a great tool for companies to get set and utilize it for their use cases.
- Since it uses Ambari extensively to install, upgrade and manage software, it is very convenient and easy to support and operationalize the components. Alerting and notifications, ability to create custom alerts give you the capability to add any number of alerts to meet your custom needs. It provides a great way to maintain other software by creating mpacks and the ability to add custom code, and you can add other software to be managed in a centralized tool.
- The use and support of popular and useful open source software and the company's contribution to the community makes HDP a very useful tool that enables a quick, secure, easily maintainable suite of components that can help companies meet the needs of the business. What is great is that new components keep getting added based on any new useful tool that comes available, like Druid, and made available as part of the suite of components. That helps businesses keep up with new capabilities as they become available, and use them to solve their problems.
- 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.
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