Name: Hortonworks Data Platform
Rating: 5 (37 reviews)
Author: Cloudera

Help Desk

Live Chat

Web and Video Conferencing

Customer Support

Academic Advising

Alumni Management

School Management

Education

Business Intelligence (BI)

Collaboration

Desktop Publishing

Enterprise Legal Management

Meeting Management

Workflow

Enterprise

Accounting

Crypto Asset Management

Merger and Acquisition

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Storage

Consulting and Advisory Services

Data Center Virtualization

Fraud Detection

Graph Database

IT Asset Disposal

Infrastructure Capacity Planning

Integration Platform as a Service (iPaaS)

Managed Hosting

Mobile Device Management (MDM)

Network Behavior Analysis

Network Performance Monitoring

Network Traffic Analysis (NTA)

SaaS Management

Security Analytics

Software-Defined WAN

System Monitoring

Unified Endpoint Management (UEM)

Information Technology

A/B Testing

Ad Serving & Retargeting

Affiliate

All-in-One Marketing

App Store Optimization (ASO)

Computer-Assisted Translation

Content Management

Contest Management

Customer Journey Mapping

Digital Asset Management

Email Marketing

Headless CMS

Marketing Automation

Press Release Management

Product Information Management (PIM)

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Call Recording

Customer Communication Management

Customer Relationship Management (CRM)

Quote to Cash

eCommerce Analytics

Sales

Camp Management

Clinical Data Management

Dental

Financial Services CRM

Internet of Medical Things

Loan Servicing

Patient Engagement

Warranty Management

Vertical-Specific

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Apache

Apache Hive

Azure HDInsight

Microsoft

Amazon EMR (Elastic MapReduce)

Amazon AWS

IBM Analytics Engine

Kubernetes

Microsoft Azure

Snowflake

Snowflake Computing

Apache Spark

HPE Ezmeral Data Fabric (MapR)

Hewlett Packard Enterprise

Based on user reviews, users recommend the following for Hortonworks:

1. 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.

2. 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.

3. 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.

1. Limited Community Support: Some users have expressed dissatisfaction with the relatively new and in need of improvement HDP community, stating that it relies strongly on community activity as an open-source project. They feel that this can lead to delays in getting support or updates, and they would prefer a more robust and responsive community.

2. Complex Installation Process: Several reviewers have found the installation process of HDP to be highly complex and suggest streamlining it for better user experience. They mention encountering various challenges during the installation, such as unclear instructions or dependencies that are difficult to resolve.

3. Challenges with Version Upgrades: Many users have encountered difficulties when upgrading from lower versions of HDP, citing manual resolution of quirks and compatibility issues as a major challenge. Some users feel that the upgrade process is not well-documented or straightforward, requiring additional time and effort to ensure a successful transition between versions.

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.

Hortonworks Data Platform

Hadoop-Related

Deployment of Hortonworks (HDP) Data Platform 2.2.4 using Apache Ambari 2.0 on Microsoft Azure VM

Demo: HDP Data Integration Services (Product Demos)

Hortonworks, LAS Advanced Analytics and Automation within the Oil and Gas Industry

Demo: HDP Management & Monitoring Services (Product Demos)

Likelihood to Recommend

Implementation Rating

Cloudera presents a unified Platform for Big Data, an enterprise data hub built on Apache Hadoop™.

Cloudera offers enterprises one place to store, process and analyze data, to extend the value of existing investments while enabling fundamental new ways to derive value from data. Cloudera offers everything needed on a journey to an enterprise data hub, including software for business critical data challenges such as storage, access, management, analysis, security and search. As an educator of Hadoop professionals, Cloudera has trained over 40,000 individuals worldwide. Over 800 partners and a seasoned professional services team help deliver greater time to value. Finally, Cloudera provides proactive and predictive support to run an enterprise data hub with confidence. Leading organizations in every industry plus top public sector organizations globally run Cloudera in production.

Behind some of the top minds in Big Data, including Doug Cutting, who invented Hadoop, Cloudera enhances the storage and processing technologies originally developed by the world’s biggest Web companies. Today, Cloudera is a market leader in Hadoop with tens of thousands of nodes under management, as well as the top contributor of code to the Hadoop ecosystem. Markets include financial services, government, telecommunications, media, web, advertising, retail, energy, bioinformatics, pharma/healthcare, university research, oil and gas, gaming and more.

Cloudera

Confluent

Apache Kafka

Azure Data Factory

Cloudera Data Platform

Project List 2018 - 2012

Hortonworks Data Platform 2020-12-10 11:57:45

Cloudera Manager

KNIME Analytics Platform

Big Data & Cognitive Computing Practice Leader

Hortonworks Data Platform 2018-10-04 10:14:42

Tableau Desktop

Tableau Server

Cloudera Enterprise Data Hub

Oracle Database (legacy)

Attunity Managed File Transfer (discontinued)

Principal Manager

Hortonworks Data Platform 2017-10-13 12:30:34

Teradata Vantage

Apache HBase

Apache Solr

Sr.Technical Manager/Delivery Manager

Hortonworks Data Platform 2017-09-29 15:52:36

Senior Software Developer

Hortonworks Data Platform 2016-05-06 10:19:04

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TrustRadius

Compatibility issues

Management interface

Rich features

Version upgrades

Data management

Cost is high

Look professional

Real time

Format e

Highly complex

Data platform

Open source

Well documented

Level security

Extensive list

Open source tools

Free to use

Easy to implement

Management console

Alerts and notifications

Home

Hadoop-Related Software

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

Cloudera Data Platform, Azure Data Factory, Apache Kafka, Confluent Platform

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 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 Spark

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.

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.

Tableau Server, Oracle Database, Attunity Managed File Transfer

Building 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

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 Hive

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.

We have developed a strong partnership with Hortonworks.

Tableau Desktop, Cloudera Enterprise, MapR

Hortonworks Data Platform

Overview

What is Hortonworks Data Platform?