Cloudera Data Platform Reviews

We use Hortonworks as a storage platform and then we create machine learning models and do the execution using Cloudera Data Science Workbench. (Cloudera and Hortonworks merged in January of 2019.)  

The most valuable part of this product is what Cloudera Data Science Workbench can do as a whole for modeling and analysis.  

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.  

We have been using Hortonworks Data Platform for almost a year.  

We do not maintain it in our department. We just use it. It has been mostly available other than when they had to upgrade. The IT department did run into some upgrade issues. But as users, it has been stable for us.  

We expect to have a lot more data. The scalability is the key reason why we are on this platform.  

My IT team is the user group when it comes to installation and setup. They are the ones who do the product installation and management.  

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.  

It is important to note that the IT team has to support the product. We are not the IT team so if we have to scale it, someone has to be able to do that administrative job of adding another server and managing the distribution of the data across all the servers. To work with this, you need to have that skill set within the IT department.  

On a scale from one to ten (where one is the worst and ten is the best), I would rate Hortonworks Data Platform as an eight or nine out-of-ten. It is meeting a need.  

We use this solution for the hospitality industry. 

It was for end to end data processing and data manipulations.

The data platform is pretty neat. The workflow is also really good. 

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. 

I have been using this solution for six years. 

The technical support is okay, but not excellent. They can take a while to respond. 

If you wish to use this solution, make sure you compare it with some other solutions first to make sure it's right for your needs. 

Overall, on a scale from one to ten, I would give this solution a rating of nine.

We use this solution to look at and manage big data. It's mostly historical data that we offload from our data warehouse, as well as from other databases in other platforms.

We have two different installations. The first one is based on IBM POWER CPUs, and the other one is based on Intel CPUs. Our data center is on-premise. There is some thought on moving to a private could, or a private IBM cloud, but we have not proceeded with that as of yet.

This solution is a cheaper way for us to offload the otherwise expensive data. We can move data from outdated database versions, such as Oracle 10. It is now out of support, but still hosts some of our historical data. This solution has helped us move our data to the current version.

Previously, we had our data on more expensive platforms. Now, using this solution, it is much cheaper to have all of the data available for searching, not in real-time, but whenever there is a pending request.

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.

We have had some issues with the code, but it's mostly from the developers. From our side, we don't see any issues with stability, although it may be that we have a lot of unused CPU capacity.

We have not acquired any additional hardware since our initial purchase. However, we expect more use cases to be added, at which point we may have performance or scalability problems.

The initial setup is not very difficult. The configuration is not easy, but somebody with some experience is able to set it up. We had users for which we had to set up quotas and queues. For us, the basic installation was completed within a matter of a week.

We had IBM set up both of our installations. 

This is a good product, but we still have some issues with backup, and the performance monitors that we install on every system. There may be solutions, but we're struggling to integrate them.

This is a product that I recommend. It's a solution that comes at a lower price, and it works well if you don't have expectations that it will behave like a much more expensive system.

I would rate this solution an eight out of ten.

Hortonworks actually provides a complete solution and just one user interface that can manage all the packages. It can monitor all the requirements, all the versions and additionally all the quays and all the hardware-dependent services. What I want is a useful user interface which is the reason why I currently prefer to use Hortonworks.

One of the most valuable features is that you can configure your data nodes in the big data. Whatever you want. Normally, for example, if you are testing websites and Hash clouds and other sites, in most of them you must manage more than three or four requirements. For example, you must install each feature, you must compile some additional things, and also you must manage more than three configuration files to enable all the nodes to work together.

In the Hortonworks solution, you just need the service, and you just want to install it once to get started on projects easily. You can just click run and it's already installed and you can create and communicate between your services.

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.

The Hortonworks solution is very stable. It works as a production system, without any error, without any downtime. If I have downtime, it is mostly caused by the hardware of the computers.

The solution is very scalable. In our procedure, there are two we are using in production without any downtime. The most important thing is the hardware from the computer cluster. I can work on more than 1,000 servers at the same time. On the communication solution, currently, 50 people use it at the same time.

The initial setup is so easy. You can just watch a video. It's handy. If you have some knowledge of computer networking and computer clusters, it is so easy. Deployment time depends on the project and the project size. Sometimes it takes more than three hours to complete.

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.

The solution is an open-source project. If you don't want to use their professional support services, you don't pay anything for Hortonworks and its solutions. When you want to call there or use its user interface, it's paid. This is why prefer Hortonworks solutions in my projects.

I would rate this solution 10 out of 10.

We use it for data science activities.

Data is now available.

I have no preferences towards any feature.

• Security
• Performance
• Workload management

A few of them, namely: Hive/Tez, HBase, Ranger, Yarn and Ambari. Ambari helps managing the platform, Hive is very easy to use. Ranger for security; with Ranger we can manager user’s permissions/access controls very easily.

We have successfully ported a Microsoft SSIS product application into Hadoop, that saved millions of dollars for the company and, at the same time, they are getting better performance. Also, we implemented fraud detection, as quickly as possible, for the online orders. (Fraudulent orders became a big headache for our company. The early detection of fraud is saving the company a lot of money).

Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases (Oracle/Teradata, etc.), which would save a lot of money for the company.

I have been working on this HDP platform since Jan 2015.

No, our company is a satisfied customer.

No, not at all.

Product is good. Reason I gave a rating of eight is that their community is very large and relatively very quick in bug fixes.

• Ambari Web UI: user-friendly
• Views for Hive, Tez, Pig
• Spark and Ranger

It has helped our organisation cater to clients who are using Big Data for data storage and analysis combined with our security product.

Deleting any service requires a lot of clean up, unlike Cloudera.

Five years.

Not until now.

No.

Very supportive, prompt responses.

We didn't use a previous solution.

The Ambari upgrade is not very user-friendly.

Not applicable.

Cloudera and MapR.

It's a great company with a great product employing dedicated people.

We evaluated Cloudera and Hortonworks. Based on our evaluation and actual experience in production of 60 nodes and development of 12 nodes, the most valuable features of Hortonworks are:

• 100% open
• No lock-in like Cloudera
• Fast and accurate support instantly
• Largest number of committers to Hadoop by any means
• Hive is better in performance and ease of use compared to Impala

It helps a lot in data in motion (ingestion and manage in real time). We are able to do 3rd-party data monetization of our data within a t+20 minute time frame to our end customers.

• Cost
• Reliability
• Speed
• Ease of use

I have used it for three years.

I initially encountered deployment issues, but they were very good in resolving them.

I have not encountered stability issues.

I have not encountered any scalability issues at all. That's the key reason we picked HDP over Cloudera, as Cloudera have issues & don't support compression of Hive in ORC format. They push only their products (not good).

Customer service has been excellent from the day one until now... and our Admin is comfortable with the SLA and turnaround time.

Technical support is very good and proactive with SmartSense.

We previously used a different solution. We switched from Cloudera. Initially, we went with Cloudera due to it being a popular choice in the market, etc, then realized it was bad choice. Before we scaled from 6 nodes to 12 nodes and before we went livein production, we scrapped it due to Impala's performance and lock-in.

Using Ambari, it was easy to set up and we even tried the AWS for a test cluster.

An in-house team implemented it: two admins, seven developers, one data scientist, one PM and 22 business users at the customer (end-user side).

ROI is 300%.

Hortonworks is the best, comparing all three flavors. If all is well, we might use open source alone in the next three years; others you can't due to lock-in...

Before choosing this product, we also evaluate Cloudera.

It is the best in terms of product vision and actual delivery.