TrustRadius
Hortonworks Data Platform (HDP) is a data analytics platform which leverages hadoop.https://media.trustradius.com/product-logos/sr/Ot/SKJR5FC930CT.pngA flexible, complete, secure, easy operational big data platformHortonworks 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.,7,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,IBM Streaming Analytics, IBM Operational Decision Manager, WebSphere Application ServerHortonworks: based in the open, close to successWe support organizations and existing customers evolving from traditional business analytics into big data and data science. Hortonworks is big data stack distribution, consisting of 100% open source projects. It mainly stands on Hadoop and Spark components, plus a number of improvements also developed in the open, like Druid and Superset.,Hortonworks two main pillars are HDP (Hortonworks Data Platform) and HDP (Hortonworks Data Flow). The former applies to the infrastructure required for building and deploying a data lake, and the latter is about ingestion, in batch or realtime. Both HDP and HDF rely entirely on opensource projects, this is a distinctive point about Hortonworks. In the last year new improvements like Data Plane and Stream Analytics Manager (SAM) take HDP and HDF several steps further into management and governance.,As an open source project collection, it relies strongly on community activity. You still have the option to contract premium consulting or training services. Altough it is quickly evolving into Data Science tools availability (eg. Tensorflow incorporate in HDP 3), it can be cumbersome from a developer transitioning from a traditional IDE, into the notebook vs. datalake metaphore. As expected for a big data infranstructure, the resource requirements base line is rather high. This means that if used on premise, you need to think of about 10 machines for a minimal reasonable deploy.,9,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.,,KNIME Analytics Platform, Cloudera Manager, Apache SparkHortonworks Data Platform is a good choice for clinical data monitoring and analysisMy company is a non-profit healthcare delivery institute consists of hospitals and clinics. We started a new working group to see possibility of using big data technology with machine learning to improve patient care and healthcare quality improvement. We adopted HortonWorks data platform to store and analyze data from medical devices in our Intensive Care Units. Our ICU has a lot of devices that monitor patients' status in real time and detect any abnormal pattern. Since it produces numerous data, we stored them in a volatile manner, which means they may be deleted after while, to save disk space in our databases. We did pilot study of using Hortonworks Data Platform and Hadoop inside it to replace traditional data storage.,It is a well suited data platform to support big data storage and analysis, with computational efficiency, good performance, and stability. It is free to use. Online development community is well supported. Hortonworks engineers seem to have good experience and skill sets. It is easy and fast to integrate with other tools or components for big data handling and analysis.,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.,9,My company is expanding our scope of data science area from traditional structured data (coded diagnosis, medication, etc) to unstructured data. Use of Hortonworks in ICU data monitoring was a good demonstration of that possibility. Hortonworks data platform is a fully open source product and well aligned with out development culture. Hortonworks business people and engineers are supportive and open minded. They played certain role of successful use of Hortonworks.,Cloudera Enterprise,TensorFlowHortonworks is at the leading edgeTypically it is used as an enterprise platform. There are very few companies that use it only departmentally. It solved the business problems of maintaining a pure open source Hadoop environment. It also solves for Disaster Recovery and Security. Hadoop was not designed for Security, but with Hortonworks Ranger and Kerberos, you can implement a world class security framework.,Security with Ranger. Cell level security. Integration with Kerberos and LDAP. Ambari management console. UI and API that allows complete management of the platform. PLUS components have metadata, streaming, monitoring and other tools that flesh out the offering.,Installation is highly complex and needs to be streamlined. The platform itself needs to be a little more stable. It might help to actually slow down releases to make sure they are more stable. Upgrading from lower versions should be easier.,8,Positive ROI for streaming use cases. Negative impact on staffing, it will require 1-2 FTEs more than Cloudera or a BI operations team. Positive ROI for Ambari and the ELK stack. You will get great capabilities for IT Operations.,Cloudera Enterprise,Tableau Server, Oracle Database, Attunity Managed File TransferGreat Partner for Apache HadoopBuilding and deploying large scale Hadoop/Hive/Yarn/Spark clusters with hundreds of nodes in distributed environments on CloudProcess Web/Mobile traffic and provide customizable customer experienceAdvanced 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,10,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,,Teradata Enterprise Data Warehousing, Apache Solr, Apache HiveBest commercial hadoop distribution productWe 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.,9,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,IntelliJ IDEA, Eclipse, MySQLHortonworks HDP makes Hadoop easierI have been using Hortonworks Data Platform for personal as well as professional use for some time now. We also consult for clients looking evaluate and use the HDP distribution. HDP makes it intuitive and easy to use for people looking to use Hadoop and relevant Big Data technologies open sourced by Apache. HDP's own products are developed and open sourced which makes the community stronger.,HDP keeps up-to pace with the Apache Hadoop. HDP's Ambari is intuitive and easy to use. HDP remains similar to most open source tools and hence makes the learning curve gentler.,The HDP community is relatively new and could get better. Tools like Falcon which are not so much used in general tend to remain dormant in the HDP when it comes to development.,8,We have developed a strong partnership with Hortonworks.,Apache Hadoop, Cloudera CDH and MapR,Tableau Desktop, Cloudera Enterprise, MapRHDP, 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.,9,Ability to analyze data in a different format efficiently is a positive impact of using Hadoop.,,Splunk, Amazon Web Services, ThingWorx,No,Price Product Features Product Usability,I would not change the evaluation and selection process.,Implemented in-house,No,Change management was minimal,Hadoop is very sensitive on name. Better Static IP.,9
Unspecified
Hortonworks Data Platform
36 Ratings
Score 8.3 out of 101
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>TRScore

Hortonworks Data Platform Reviews

Hortonworks Data Platform
36 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 8.3 out of 101
Show Filters 
Hide Filters 
Filter 36 vetted Hortonworks Data Platform reviews and ratings
Clear all filters
Overall Rating
Reviewer's Company Size
Last Updated
By Topic
Industry
Department
Experience
Job Type
Role

Reviews (1-8 of 8)

  Vendors can't alter or remove reviews. Here's why.
No photo available
March 04, 2019

Hortonworks Data Platform Review: "A flexible, complete, secure, easy operational big data platform"

Score 7 out of 10
Vetted Review
Verified User
Review Source
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.
All in all, it is a great product and a convenient way of getting a lot of components for big data installed and configured. It provides components for most things you want to perform in ingesting, streaming and setting up for analytics. It also does a great job with the dashboard tool by integrating Grafana and providing dashboards for most components used. It helps users get a great visual on the state of data.
I can't imagine any cases where you have needs for big data where HDP won't be suited well, as it is as good a platform in that domain as Cloudera or MapR, and should be able to meet your needs.
Read this authenticated review
Fernando López Bello profile photo
October 08, 2018

Hortonworks Data Platform Review: "Hortonworks: based in the open, close to success"

Score 9 out of 10
Vetted Review
Reseller
Review Source
We support organizations and existing customers evolving from traditional business analytics into big data and data science. Hortonworks is big data stack distribution, consisting of 100% open source projects. It mainly stands on Hadoop and Spark components, plus a number of improvements also developed in the open, like Druid and Superset.
  • Hortonworks two main pillars are HDP (Hortonworks Data Platform) and HDP (Hortonworks Data Flow). The former applies to the infrastructure required for building and deploying a data lake, and the latter is about ingestion, in batch or realtime.
  • Both HDP and HDF rely entirely on opensource projects, this is a distinctive point about Hortonworks.
  • In the last year new improvements like Data Plane and Stream Analytics Manager (SAM) take HDP and HDF several steps further into management and governance.
  • As an open source project collection, it relies strongly on community activity. You still have the option to contract premium consulting or training services.
  • Altough it is quickly evolving into Data Science tools availability (eg. Tensorflow incorporate in HDP 3), it can be cumbersome from a developer transitioning from a traditional IDE, into the notebook vs. datalake metaphore.
  • As expected for a big data infranstructure, the resource requirements base line is rather high. This means that if used on premise, you need to think of about 10 machines for a minimal reasonable deploy.
It is best used where organizations need to build a data lake from scratch, leveraging its capabilities for ingesting huge volumes from a vast number of different sources -including sensors, logs, text, transactional systems and more.

However, if you just want to try a data science use case, think about if your volume demands such deployment.
Read Fernando López Bello's full review
No photo available
December 13, 2018

Review: "Hortonworks Data Platform is a good choice for clinical data monitoring and analysis"

Score 9 out of 10
Vetted Review
Verified User
Review Source
My company is a non-profit healthcare delivery institute consists of hospitals and clinics. We started a new working group to see possibility of using big data technology with machine learning to improve patient care and healthcare quality improvement. We adopted HortonWorks data platform to store and analyze data from medical devices in our Intensive Care Units. Our ICU has a lot of devices that monitor patients' status in real time and detect any abnormal pattern. Since it produces numerous data, we stored them in a volatile manner, which means they may be deleted after while, to save disk space in our databases. We did pilot study of using Hortonworks Data Platform and Hadoop inside it to replace traditional data storage.
  • It is a well suited data platform to support big data storage and analysis, with computational efficiency, good performance, and stability.
  • It is free to use. Online development community is well supported. Hortonworks engineers seem to have good experience and skill sets.
  • It is easy and fast to integrate with other tools or components for big data handling and analysis.
  • 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.
We used Hortonworks within our Medical Informatics department to validate possibility of using big data tools and platforms in the field of patient monitoring and near-real time pattern detection. Although our efforts weren't in production, it was demonstrated that Hortonworks provides good computational efficiency, stability to be used in a mission critical businesses such as healthcare services and patient care.
Read this authenticated review
Steve Gonzales profile photo
October 13, 2017

Hortonworks Data Platform Review: "Hortonworks is at the leading edge"

Score 8 out of 10
Vetted Review
Verified User
Review Source
Typically it is used as an enterprise platform. There are very few companies that use it only departmentally. It solved the business problems of maintaining a pure open source Hadoop environment. It also solves for Disaster Recovery and Security. Hadoop was not designed for Security, but with Hortonworks Ranger and Kerberos, you can implement a world class security framework.
  • Security with Ranger. Cell level security. Integration with Kerberos and LDAP.
  • Ambari management console. UI and API that allows complete management of the platform.
  • PLUS components have metadata, streaming, monitoring and other tools that flesh out the offering.
  • Installation is highly complex and needs to be streamlined.
  • The platform itself needs to be a little more stable. It might help to actually slow down releases to make sure they are more stable.
  • Upgrading from lower versions should be easier.
Hortonworks Data Platform is well suited:
  • If you require the newest releases and capabilities and are prepared to upgrade frequently
  • If you want full, cell level, ticketing and perimeter security
  • If you want metadata, streaming and other PLUS component capabilities
If you are not prepared to do upgrades at least on a quarterly basis, DO NOT use Hortonworks. If you have a very plain vanilla implementation, you might want to look at pure open source Hadoop.
Read Steve Gonzales's full review
Bharadwaj (Brad) Chivukula profile photo
September 29, 2017

Hortonworks Data Platform Review: "Great Partner for Apache Hadoop"

Score 10 out of 10
Vetted Review
Verified User
Review Source
  1. Building and deploying large scale Hadoop/Hive/Yarn/Spark clusters with hundreds of nodes in distributed environments on Cloud
  2. Process Web/Mobile traffic and provide customizable customer experience
  3. Advanced Analytics picture of customer behaviors and shopping patterns
  4. Provide personalized website for each customer based on their needs
  5. 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
It's the right platform for our data science & engineering team who can use it as a ecosystem to solve major retail problems
Read Bharadwaj (Brad) Chivukula's full review
No photo available
October 02, 2017

Hortonworks Data Platform Review: "Best commercial hadoop distribution product"

Score 9 out of 10
Vetted Review
Verified User
Review Source
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.

Hortonworks provides a framework comprising open source projects which is good for any open source lovers. Easy to start with its great tutorials.


Read this authenticated review
Piyush Routray profile photo
May 06, 2016

Hortonworks Data Platform Review: "Hortonworks HDP makes Hadoop easier"

Score 8 out of 10
Vetted Review
Verified User
Review Source
I have been using Hortonworks Data Platform for personal as well as professional use for some time now. We also consult for clients looking evaluate and use the HDP distribution. HDP makes it intuitive and easy to use for people looking to use Hadoop and relevant Big Data technologies open sourced by Apache. HDP's own products are developed and open sourced which makes the community stronger.
  • HDP keeps up-to pace with the Apache Hadoop.
  • HDP's Ambari is intuitive and easy to use.
  • HDP remains similar to most open source tools and hence makes the learning curve gentler.
  • The HDP community is relatively new and could get better.
  • Tools like Falcon which are not so much used in general tend to remain dormant in the HDP when it comes to development.
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.
Read Piyush Routray's full review
Wonoh Kim profile photo
November 18, 2015

Hortonworks Data Platform Review: "HDP, a Non-Proprietary Hadoop Solution."

Score 9 out of 10
Vetted Review
Verified User
Review Source
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.
The key question is does it have an exit plan. Once you use proprietary software, it's very difficult to change platforms and you must pay an annual fee. Hortonworks Data Platform is 100% open source and you can change the platform without worrying about a contract.
Read Wonoh Kim's full review

Hortonworks Data Platform Scorecard Summary

About Hortonworks Data Platform

Hortonworks Data Platform (HDP) is a data analytics platform which leverages hadoop.
Categories:  Hadoop-Related

Hortonworks Data Platform Technical Details

Operating Systems: Unspecified
Mobile Application:No