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2018-02-03T16:54:00Z
Julia Frohwein - PeerSpot reviewer
Senior Director of Delivery at PeerSpot (formerly IT Central Station)
  • 0
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What needs improvement with Hortonworks Data Platform?

Please share with the community what you think needs improvement with Hortonworks Data Platform.

What are its weaknesses? What would you like to see changed in a future version?

5
PeerSpot user
5 Answers
Wallace Hugh - PeerSpot reviewer
VP of Data and Analytics at a tech services company with 201-500 employees
Real User
Top 5Leaderboard
2021-05-23T17:06:05Z
23 May 21

The NiFi platform could be enhanced. This refers to the data ingestion in a workflow. It would also be nice if there was less coding involved.

SS
Data Science and Data Engineering Leader | Senior Principal Data Scientist at a healthcare company with 10,001+ employees
Real User
Top 10
2020-10-06T06:57:47Z
06 October 20

We are happy with the platform but we are also looking at what else is out there. We are comparing what other teams are using in our company to the solution we have adopted. The main difference, and what seems better with other tools, is the deployment. That part is not entirely clear to us. We can create models, but once we create the models we are not sure as to how to deploy them. The version control of the software is also an issue. Maybe these improvements are already included in the newest release but we are not aware of it because nobody on our team has had the opportunity to try it. I do not know how well this product is supported.

VK
Senior IT Officer- Head of Administration, System Administration Division for Unix and Linux Servers at a financial services firm with 10,001+ employees
Real User
2019-07-28T07:35:00Z
28 July 19

We have had problems with the backup and with services that require a disaster site. We are still struggling with some of these issues. We are having trouble with Active Directory and Hive integration. I would like to see more support for containers such as Docker and OpenShift.

Oguzhan Herkiloglu - PeerSpot reviewer
Senior HPC and BigData Architect at BitNet
Real User
2019-07-10T12:01:00Z
10 July 19

I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors. Each customer has different requirements. From the IT side, someone who has some experience of the cluster, computer clustering, computer networking, different fire defense, for example, it is so important that they have some additional graphics, some additional service reports added to the Hortonworks current user interface, which could provide easy images. Especially if they are using it without any experience first.

LM
Solution Architect at Teradata Corporation
Vendor
2018-02-03T16:54:00Z
03 February 18

* Security * Performance * Workload management

Related Questions
Miriam Tover - PeerSpot reviewer
Service Delivery Manager at PeerSpot (formerly IT Central Station)
Oct 06, 2020
Hi, We all know it's really hard to get good pricing and cost information. Please share what you can so you can help your peers.
See 2 answers
Oguzhan Herkiloglu - PeerSpot reviewer
Senior HPC and BigData Architect at BitNet
10 July 19
The solution is comprehensible but it also depends on the customers and the customer's stability requirements. I know that Hortonworks is stable, but sometimes when you are talking with the customers, they wonder if Hortonworks is free, how can it be enterprise. But I explain that Hortonworks is open-source.
SS
Data Science and Data Engineering Leader | Senior Principal Data Scientist at a healthcare company with 10,001+ employees
06 October 20
I think it is priced well and it is affordable. Hadoop, which we use with the solution, is open-source. That part is free. We pay only for whatever wrappers Cloudera provides on top of the open-source product, Hadoop. I do not know about the actual pricing in total. The whole point of Hadoop is that it is open-source and they have created their own cluster. Cloudera is just the vendor that they are using. My guess is Hortonworks should not be expensive at all to those looking into using it.
Ariel Lindenfeld - PeerSpot reviewer
Director of Content at PeerSpot (formerly IT Central Station)
Dec 31, 2016
Let the community know what you think. Share your opinions now!
See 2 answers
PeerSpot user
Learning Specialist 2 at VMware
24 November 15
The enterprise readiness of the distribution.
PeerSpot user
Software Engineer at a aerospace/defense firm with 1,001-5,000 employees
31 December 16
It depends...what is your endgame ? Hadoop these days mostly servers as a distributed clustering file system that specializes in storing very large files. If you are merely interested in writing software for distributed processing....Apache Spark, or NVIDIA CUDA are a much better choice....if you are interested in the distributed processing of large amounts of data, then the common practice is to use Apache Spark to write the code to process the data, and Hadoop for persistent file system storage.
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