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HPE Hortonworks Data Platform Enterprise Plus - subscription ( 1 year )

Mfg. Part: JP408AAE | CDW Part: 4277987 | UNSPSC: 43232304
$18,724.99Advertised Price
Lease Option ($560.25 /month) Lease Availability
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  • Subscription ( 1 year ) + 1 Year 24x7 Support
  • 4 nodes
  • 50 GB capacity
  • electronic
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Product Overview
Main Features
  • Subscription ( 1 year ) + 1 Year 24x7 Support
  • 4 nodes
  • 50 GB capacity
  • electronic
Are you looking for a 100% open source platform for storing, processing, analyzing and transporting large volumes of data? Hortonworks Data Platform from HPE offers two connected platforms, Hortonworks Data Platform (HDP) and Hortonworks DataFlow (HDF). HDP handles data from many sources and formats in a quick, easy, cost-effective manner. Providing a stable and highly extensible platform, HDP makes it easier to integrate Apache Hadoop with your existing data architectures while increasing the value of the data flowing through your business. HDF is the first integrated platform that solves the real time challenges of collecting and transporting data from many sources and provides interactive command and control of live flows with full and automated data provenance. HDF is powered by Apache NiFi. Hortonworks from HPE is completely open source and allows you to deploy Hadoop wherever you want it-from the cloud or on-premises as an appliance, and across both Linux and Windows .

Technical Specifications
Specifications are provided by the manufacturer. Refer to the manufacturer for an explanation of the print speed and other ratings.
Software
Bundled Support: 1 Year 24x7 Support
Distribution Media: Electronic
License Category: Maintenance
License Qty: 4 nodes , 50 GB capacity
License Type: Subscription
License Validation Period: 1 year

Service
Support Details Full Contract Period: 1 year

Header
Brand: HPE
Compatibility: PC , Unix
Manufacturer: HP Security software
Model: Enterprise Plus
Packaged Quantity: 1
Product Line: HPE Hortonworks Data Platform

Service & Support
Type: Technical support

Service & Support Details
Limitation: Severity level 1
Response Time: 1 hour
Service Availability (Days a Week): Monday-Sunday
Service Availability (Hours a Day): 24 hours a day
Service Type: Technical support



Limitation: Severity level 2
Response Time: 4 hours



Limitation: Severity level 3/4
Response Time: 1 business day



Service Type: Web knowledge base access



Service Type: Web support



Service Type: New releases update



Service Type: Remote monitoring

General
Category: Online & appliance based services
Installation Type: Locally installed
Subcategory: Online & appliance based services - cloud computing software , Online & appliance based services - databases / database tools

Product Reviews
Rated 3.5 out of 5 by 11reviewers.
Rated 4 out of 5 by It gives us semantic analysis based on the feeds from social networking data, clickstream data, etc., but it needs to support disaster recovery features such as mirroring. Valuable Features:* It's the one and only complete open source big data platform* Ambari-managed admin configuration for HDFS, YARN, Hive, HBase, etc.* Customized dashboards* Web-based HDFS browser* SQL editor for Hive* Apache Phoenix - OLTP and operational analytics on Hadoop**Improvements to My Organization:* Maintenance of our own data lake in the enterprise-level* Storage and analysis of server logs* Applying Operational Intelligence in the enterprise-level based on the analysis of various department units data* Semantic analysis based on the feeds from social networking data, clickstream data, etc.Room for Improvement:* Rolling upgrade* Disaster recovery features such as mirroring should be supportedUse of Solution:We've used it for one year.Deployment Issues:No issues encountered.Stability Issues:No issues encountered.Scalability Issues:No issues encountered.Customer Service:3/10Technical Support:3/10Previous Solutions:No previous solution was in place.Initial Setup:It's easy to setup.Implementation Team:We did it in-house.Cost and Licensing Advice:Completely use the community edition along with other features that can be implemented on top.Other Solutions Considered:No other solutions were looked at.Other Advice:Study, analyze, and compare with other big data platforms features according to your requirements before choosing the appropriate one.Disclaimer: I am a real user, and this review is based on my own experience and opinions. September 26, 2016
Rated 4 out of 5 by It gives us semantic analysis based on the feeds from social networking data, clickstream data, etc., but it needs to support disaster recovery features such as mirroring. Valuable Features:* It's the one and only complete open source big data platform* Ambari-managed admin configuration for HDFS, YARN, Hive, HBase, etc.* Customized dashboards* Web-based HDFS browser* SQL editor for Hive* Apache Phoenix - OLTP and operational analytics on Hadoop* *Improvements to My Organization:* Maintenance of our own data lake in the enterprise-level* Storage and analysis of server logs* Applying Operational Intelligence in the enterprise-level based on the analysis of various department units data* Semantic analysis based on the feeds from social networking data, clickstream data, etc.Room for Improvement:* Rolling upgrade* Disaster recovery features such as mirroring should be supportedUse of Solution:We've used it for one year.Deployment Issues:No issues encountered.Stability Issues:No issues encountered.Scalability Issues:No issues encountered.Customer Service:3/10Technical Support:3/10Previous Solutions:No previous solution was in place.Initial Setup:It's easy to setup.Implementation Team:We did it in-house.Cost and Licensing Advice:Completely use the community edition along with other features that can be implemented on top.Other Solutions Considered:No other solutions were looked at.Other Advice:Study, analyze, and compare with other big data platforms features according to your requirements before choosing the appropriate one.Disclaimer: I am a real user, and this review is based on my own experience and opinions. April 26, 2016
Rated 4 out of 5 by ?The setup of hadoop was easy thanks to Ambari, but installing the security components was complex. Valuable Features:It has a powerful, user-friendly interface called Ambari which allowed us to administrate our cluster easily.Improvements to My Organization:It allows us to performa data lake implementation to handle/treat huge amounts of data, or what we call the "terrible bytes”.Room for Improvement:Integrate a complete hive web client (Ambari views), like Hue Today, in the next release.Use of Solution:I've used it for three years.Stability Issues:The HDP v2.3 is stable release. But we have encountered some issues linked to hbase (fixed by: hbase server and region server should not be installed on the same node).Customer Service:It has good documentation, but it's not fully complete for complex security needs (knox/ranger with cluster).Previous Solutions:We have installed our first cluster using native Apache repositories.Initial Setup:The setup of Hadoop was easy thanks to Ambari, but installing the security components was complex.Implementation Team:Our cluster has been implemented in-house. We have automated the entire installation of Hadoop, set-up and configuration included.Cost and Licensing Advice:Hadoop/Cloudera is still much cheaper than Oracle's RDBM system, if you want to handle a huge amount of data and make complex analytics.It's 40,000€ for 10 Hadoop nodes vs 1.7 million Euros for an Oracle server with 40 cores.Other Advice:In short, I recommend this product simply because Hortonworks is the only distribution that runs on Linux and Windows Servers.Disclaimer: I am a real user, and this review is based on my own experience and opinions. April 16, 2016
Rated 3 out of 5 by It enables customers to perform sentimental analysis from social media data to engineering analytics. Name Node High Availability is still not stable. Valuable Features:Hortonworks is 100% Open Source. Hortonworks does a great job in managing all different components of Hadoop.Improvements to My Organization:We've done multiple implementations of it. It enables customers to perform sentimental analysis from social media data to engineering analytics.Room for Improvement:Security- Although they support Knox and Ranger and Kerberos, they are still missing attribute-level encryption features.Name Node High Availability is still not stable (memory issues).Disclaimer: I am a real user, and this review is based on my own experience and opinions. December 28, 2015
Rated 3 out of 5 by It is improving rapidly, but like other flavors of Hadoop there is room for improvement. Valuable Features:* Ambari* Hive* Sqoop* Flume* SparkImprovements to My Organization:The Hadoop value proposition is in expanded functionality, linear scalability, and reduced software and infrastructure costs. Hadoop offers several generic frameworks for batch, real-time, and iterative processing, such as map-reduce, spark, and spark streaming. Additionally, these frameworks provide libraries for predictive analytics and machine learning. This type of expanded functionality is not easily achieved on any other single platform.Room for Improvement:File system to provide indexed access to individual records with in-place update/delete. Also, Security integration through a common interface for authentication, authorization, disk encryption, network encryption, data access layer, data masking, etc.Hadoop, does not provide improved performance, compared to traditional RDBMS, unless processing batches in the TB-PB range, or if the Hadoop platform has significantly more resources available.Use of Solution:I have implemented various flavors of Hadoop over the past five years, including platform configuration and application development.Deployment Issues:Deployment is improving rapidly, but like other flavors of Hadoop there are always issues.Stability Issues:Stability is improving rapidly, but like other flavors of Hadoop there are always issues.Technical Support:5/10 - Responsive, but like all flavors of Hadoop, there are too many tickets to be reasonably triaged and supported.Previous Solutions:I have implemented various flavors of Hadoop such as Hortonworks and Cloudera over the past five years, including platform configuration and application development.Initial Setup:Straightforward once you know what you’re doing.Implementation Team:I work for a vendor team.ROI:ROI is one of the main reasons organization pursue Hadoop. Cost per TB is a compelling factor.Other Solutions Considered:Hadoop is complex. It takes a dedicated approach from individuals with a broad range of technology skills and commitment to overcome challenges that do not normally present themselves in well-established technologies.Other Advice:Hadoop is complex. It takes a dedicated approach from individuals with a broad range of technology skills and commitment to overcome challenges that do not normally present themselves in well-established technologies.Disclaimer: My company has a business relationship with this vendor other than being a customer:We're partners. November 29, 2015
Rated 3 out of 5 by We've integrated our current distribution of it with Tableau, but we had issues upgrading to the newer versions, but these were resolved with their help. Valuable Features:The features I've found most valuable are--* Ambari UI* Hive* Pig* Hive* Also integrated Tableau with this distributionImprovements to My Organization:It's easy to deploy and we've used this distribution for some of our recommendation and trend analysis use cases.Use of Solution:I've used it for almost one year.Deployment Issues:No issues encountered.Stability Issues:No issues encountered.Scalability Issues:We faced some issues while upgrading to newer versions with current distributions, but with their support we solved it.Customer Service:Customer service is great.Technical Support:Technical support is great.Previous Solutions:No, we did not use a previous solution.Initial Setup:Initial setup was straightforward.Implementation Team:We implemented it with our in-house team.Disclaimer: My company has a business relationship with this vendor other than being a customer:We're partners. November 29, 2015
Rated 4 out of 5 by The Ambari UI is valuable for cluster monitoring, but there are certain features that need tuning, such as the Hue UI. Valuable Features:From a product standpoint, their Ambari UI is incredibly valuable for cluster monitoring. It simplifies the deployment and maintenance of hosts, and we can provision, configure and test Hadoop services.Improvements to My Organization:From an overall perspective, Hortonworks support is crucial to our operations.Room for Improvement:As this is open source, there are certain features that need tuning, such as the Hue UI. More stability on this would be helpful.Use of Solution:I've used it for one year.Deployment Issues:As this is all new technology, we face issues at every level. However, hardware support and documentation have been instrumental in helping us resolve the majority of those issues.Stability Issues:We've had some issues with stability, but hardware support and documentation have helped us resolve most of those.Scalability Issues:No issues with scalability.Technical Support:They have outstanding customer support. Their responses are prompt, and they resolve issues quickly.Previous Solutions:I have not used a solution of this nature before.Initial Setup:The set up is straightforward enough, but at every level there are many parameters to be tuned. Ensuring all these parameters are set is the complex part, as poorly set parameters can cause unwanted issues.Implementation Team:We have an in-house team to do implementations. I would advise that all implementations get seen through all the way to having users smoke test applications to ensure correct functionality.Other Advice:I would suggest that if you are implementing this at an enterprise level, the support is compulsory. Additionally having a high degree of patience is key, as this is open source and road bumps can be frequent when moving at a fast pace.Disclaimer: I am a real user, and this review is based on my own experience and opinions. November 29, 2015
Rated 3 out of 5 by We have faster processing times for our apps, but it needs to automate deployment on multi nodes. Valuable Features:There are several features that are most valuable for us--* Hue* Hive* Spark* S3Improvements to My Organization:With it, we have faster processing times for our apps.Room for Improvement:It needs to be quicker and to have the ability to automate deployment on multiple nodes.Use of Solution:I've used it for two years.Deployment Issues:Sometimes there were issues.Stability Issues:Sometimes there were issues.Scalability Issues:Sometimes there were issues.Technical Support:I've not had to use it.Previous Solutions:No solution had been used previously, but we are using it alongside AWS EMR.Initial Setup:It was complex to configure.Implementation Team:It was done in-house.Other Advice:We provide services for product implementation, so people looking for such products can contact me.Disclaimer: I am a real user, and this review is based on my own experience and opinions. November 28, 2015
  • 2016-10-30 T09:48:40.421-05:00
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