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Suresh_Srinivasan - PeerSpot reviewer
Co-Founder at FORMCEPT Technologies
Real User
Top 10
Has a useful file system and is scalable
Pros and Cons
  • "The file system is a valuable feature."
  • "The security of this solution could be improved. There should also be a way to basically have a blockchain enabled storage with the HDFS."

What is our primary use case?

We use Cloudera Distribution for file storage. 

This solution is deployed on-premise. 

What is most valuable?

The file system is a valuable feature. 

What needs improvement?

The security of this solution could be improved. There should also be a way to basically have a blockchain enabled storage with the HDFS. 

For how long have I used the solution?

I have been working with Cloudera Distribution for Hadoop for 11 years. 

Buyer's Guide
Cloudera Distribution for Hadoop
November 2024
Learn what your peers think about Cloudera Distribution for Hadoop. Get advice and tips from experienced pros sharing their opinions. Updated: November 2024.
816,406 professionals have used our research since 2012.

What do I think about the stability of the solution?

This solution is stable. 

What do I think about the scalability of the solution?

This solution is scalable enough for us. 

We have created a product, using HDFS, and when our engineers install it for themselves or for customers, we use this solution. There are about 15 to 20 people using it at any point of time. 

How was the initial setup?

The installation is straightforward. We use command-line-based installation and we have created our own way of installing with our product. 

Depending on the customer or depending on internal usage, our DevOps engineer will install it or my development team will install it. 

What about the implementation team?

We are very well-versed on these tools, so we implemented it ourselves. 

What's my experience with pricing, setup cost, and licensing?

I haven't bought a license for this solution. I'm only using the Apache license version. 

What other advice do I have?

I rate this solution an eight out of ten. Cloudera is a great product and, overall, there are many features. 

We actually use Cloudera HDFS underneath, and we build our product on top of it. So, we don't use the Cloudera versions of all the other products, we just use the Cloudera HDFS, nothing else.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
CEO at AM-BITS LLC
Real User
Top 5
Good enterprise platform with good stability
Pros and Cons
  • "It has the best proxy, security, and support features compared to open-source products."
  • "The areas of improvement depend on the scale of the project. For banking customers, security features and an essential budget for commercial licenses would be the top priority. Data regulation could be the most crucial for a project with extensive data or an extra use case."

What is most valuable?

It is a good enterprise platform. It is easier and more stable. Additionally, it has the best proxy, security, and support features compared to open-source products.

What needs improvement?

The areas of improvement depend on the scale of the project. For banking customers, security features and an essential budget for commercial licenses would be the top priority. Data regulation could be the most crucial for a project with extensive data or an extra use case.

For how long have I used the solution?

We have been using Cloudera Distribution for Hadoop for a few years.

What do I think about the stability of the solution?

I rate the product’s stability a ten out of ten.

What do I think about the scalability of the solution?

We have ten customers using the product. They include data engineers, performance engineers, and environment engineers.

I rate its stability a ten out of ten.

How are customer service and support?

The product has a support subscription for one year. We use technical support only for complex use cases. We work with their team as we have direct and quick access to contact them. It helps us better understand the technical and business-related queries of the customers.

How was the initial setup?

The on-cloud version is easy to set up. Although, it is complicated to process a large amount of data for on-premises or hybrid setup. It is not a ready-to-use solution for telecom or finance technology. It requires the deployment of robust technology relying on network infrastructure.

What's my experience with pricing, setup cost, and licensing?

The product’s price depends from project to project. It is more expensive than open-source solutions and could be cheaper. However, in some cases, it is less costly than open-source.

What other advice do I have?

It is the best solution in the world at the moment. I advise others to go for it if you have an enterprise customer. I rate it a ten out of ten.

Disclosure: My company has a business relationship with this vendor other than being a customer: Partner
PeerSpot user
Buyer's Guide
Cloudera Distribution for Hadoop
November 2024
Learn what your peers think about Cloudera Distribution for Hadoop. Get advice and tips from experienced pros sharing their opinions. Updated: November 2024.
816,406 professionals have used our research since 2012.
DBA team manager at a financial services firm with 1,001-5,000 employees
Real User
Helpful to build infrastructure for advanced analytics and is easy to install
Pros and Cons
  • "The features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized."
  • "I would like to see an improvement in how the solution helps me to handle the whole cluster."

What is our primary use case?

I'm part of the IT team at my company, and our primary use case of this solution is building infrastructure for advanced analytics, where we copy data from our data warehouse that is now our relational database. We copy it to the Cloudera Distribution for Hadoop and then analyze it with Python and machine learning. 

What is most valuable?

The features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized.

What needs improvement?

I would like to see an improvement in how the solution helps me to handle the whole cluster. For example, when I'm going down to a specific tool, like Kafka, for example, the Cloudera manager doesn't really help me. Then I have to use Google with other Kafka knowledge and tools. 

For how long have I used the solution?

I've been using this solution for about three years now.

What do I think about the stability of the solution?

It is a very stable solution.

What do I think about the scalability of the solution?

Not many people are currently using this solution at my organization, but I do believe it is scalable. I don't, however, have experience with upgrading or adding users. 

How are customer service and technical support?

My problem is that I started using Cloudera Express without technical support and then I purchased the Enterprise edition through another company. So now I don't really have access to Cloudera support, even though I hardly need to use it. 

How was the initial setup?

The initial setup was simple, but we had trouble implementing the cables in the Hadoop solution.

What other advice do I have?

I had a bad experience connecting the Cloudera Distribution for Hadoop cluster to my other resources in the company, like the active directory or firewall. I would like to see the outside environment to be easier to handle. I will rate this eight out of ten because the solution doesn't cover everything. It is a very complicated solution because it contains a lot of internal tools. 

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
reviewer2392494 - PeerSpot reviewer
Enterprise Data Architect at a pharma/biotech company with 11-50 employees
Real User
Top 5Leaderboard
Used for big data analytics, data sharing, and reporting
Pros and Cons
  • "Cloudera, as a whole, is designed to provide organizations with solutions for big data."
  • "The performance of some analytics engines provided by Cloudera is not that good."

What is our primary use case?

We mostly use the solution for big data analytics, data sharing, and reporting.

What is most valuable?

Cloudera, as a whole, is designed to provide organizations with solutions for big data. Cloudera is not one single component. It has many components related to storage, analytics, queries, and processing. All of these components work together to support big data implementation and analytics.

What needs improvement?

The performance of some analytics engines provided by Cloudera is not that good. So, we are using other analytics tools besides Cloudera.

For how long have I used the solution?

I have been using the solution for more than four years.

Which solution did I use previously and why did I switch?

We also use other tools like DataIQ and Apache Kudu.

What other advice do I have?

I'm working with the solution myself. As a company, we are implementing it for other customers. Cloudera itself does not provide analytics. It prepares data for analytics tools that work with Big Data, such as Apache Spark, DataIQ, and Tableau.

Overall, I rate the solution a nine out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
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EricLin - PeerSpot reviewer
Chairman at Athemaster co.,ltd.
Real User
Top 10
Provides excellent data processing features and enables users to connect with other applications
Pros and Cons
  • "The product provides better data processing features than other tools."
  • "The dashboard could be improved."

What is our primary use case?

I use the solution because my data is too big. It is almost 100 TB.

What is most valuable?

The product provides many APIs to connect with other applications. The product provides better data processing features than other tools.

What needs improvement?

The dashboard could be improved.

For how long have I used the solution?

I have been using the solution for seven years.

What do I think about the stability of the solution?

The tool is stable. I rate the stability an eight out of ten.

What do I think about the scalability of the solution?

The tool is scalable. I rate the scalability an eight out of ten. It is easy to scale the product. Almost 20 to 25 people use the tool in our organization. We maintain the solution ourselves. We have nine engineers in our maintenance team.

How are customer service and support?

The support is very, very helpful.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

I have worked with Oracle. Oracle is too expensive.

How was the initial setup?

It was pretty easy to install the product. It took us 20 minutes.

What's my experience with pricing, setup cost, and licensing?

The product’s cost is higher compared to other tools. The pricing must be improved.

What other advice do I have?

I recommend the solution to others. Overall, I rate the solution an eight out of ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
it_user900987 - PeerSpot reviewer
Data Management at BCX
Real User
Offers big data support for analytical applications but the technical support needs improvement
Pros and Cons
  • "In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."
  • "The one thing that we struggled with predominately was support. Because it was relatively new, support was always a big issue and I think it's still a bit of an ongoing concern with the team currently managing it."

What is our primary use case?

We primarily use it only for big data support for analytical applications.

What is most valuable?

The feature that we've used quite intensively is Spark, in how it specifically can speed up some of the data to assist with processing.

What needs improvement?

The one thing that we struggled with predominately was support. Because it was relatively new, support was always a big issue and I think it's still a bit of an ongoing concern with the team currently managing it.

In the next release, I think it would be helpful if there was easier integration into all the other existing data back corners. It will be a big plus as it's a favorite capability. We had to go with a third-party application in order to achieve that.

For how long have I used the solution?

I've been using the solution since 2016.

What do I think about the stability of the solution?

The stability is problematic. We did encounter quite a lot of issues with the cluster going down quite frequently.

What do I think about the scalability of the solution?

In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues. Currently, only about 10 people in total are using the solution. So we have about four business users and then four technical people. It's only limited to two environments.

How are customer service and technical support?

I think there's a lot of room for improvement on the technical support side. Mostly because we don't have a lot of local skills in South Africa that could have supported the solution. It was an issue.

Which solution did I use previously and why did I switch?

This is our first solution. We tested a bunch of other technologies, but that was our first one and we're still using it.

How was the initial setup?

The initial implementation was straightforward from an application side. There weren't any hiccups. In terms of deployment time, it's going to be difficult to say, because most of it was related to hardware problems. Software took about two months to deploy. We required four people for deployment.

What's my experience with pricing, setup cost, and licensing?

The pricing is very competitive. It's not bad.

Which other solutions did I evaluate?

We considered working with a few other companies, including IBM Bluemix.

What other advice do I have?

I would recommend the solution given that they've proven the business case and that they've proven the technology. We have found that if you don't use or address the right business code you end up buying a technology that doesn't necessarily solve your business problems.

I would rate the solution seven out of ten. The main reason for not rating it higher is that I think that the overall support is not great and we've found some limitations. It wasn't mature when we started. It's getting there. It's getting better. The main reason for the score of seven is mainly the support as well as the limited functionality.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
it_user357645 - PeerSpot reviewer
Data/Big Data Architect at a healthcare company with 1,001-5,000 employees
Real User
We were trying AWS Impala as well, but Cloudera won as it had more functionality with HUE, Sqoop, and Solr as built-in functions. At times, heavy queries do not finish at all.

What is most valuable?

Mostly HUE, Impala, Sqoop, and Hive. The impala-shell command is number one.

How has it helped my organization?

We are working on research for genomic data looking for specific genes and variances. Even Hive was not good enough to process it correctly, only with Impala are we getting results quicker.

What needs improvement?

Sometimes the heavy queries do not finish at all. It would be good to see the progress of heavy script in the impala shell or get some way to access it.

For how long have I used the solution?

We started to use Cloudera about one-and-a-half years ago.

What do I think about the stability of the solution?

We are having some issues with stability and are speaking to Cloudera support.

How are customer service and technical support?

Customer Service:

It's acceptable.

Technical Support:

It's acceptable.

Which solution did I use previously and why did I switch?

We were trying AWS Impala as well, but Cloudera won as it had more functionality with HUE, Sqoop, and Solr as built-in functions.

How was the initial setup?

We have struggled a bit in installing and configuring Cloudera Manager on the AWS cluster. For now, it is good.

What about the implementation team?

We did the implementation only using our team and resources. It was a hard start, but an easy landing.

What other advice do I have?

Cloudera is good for mid to big company, but small ones can use AWS Impala/HUE. Go to training, or you are going to spend many hours to find short answers. The Cloudera solution is big with good documentation, but you need to know what and where to read first.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Senior Software Engineer at a tech services company with 10,001+ employees
Real User
Performs well and the technical support is helpful, but the upgrade process needs to be consolidated
Pros and Cons
  • "The most valuable feature is Impala, the querying engine, which is very fast."
  • "There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon."

What is our primary use case?

We are dealing with data from the telecom industry. We were using an Oracle system but our volume has increased. We now have a lot of real-time data that needs to be transformed so that it can be made available and used.

What is most valuable?

The most valuable feature is Impala, the querying engine, which is very fast. We have been able to work with one terabyte of data in less than 20 minutes. The speed makes it easy for us to process all of the data that comes in, in time.

The support is very good.

All of the data has automatic triple replication in order to secure integrity.

What needs improvement?

There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon.

When we are upgrading CDH, there are many things that need to be upgraded and it would be helpful if it were bundled. As it is now, we have to upgrade many different things separately.

For how long have I used the solution?

I have been working with the Cloudera Distribution for Hadoop for around two years.

What do I think about the stability of the solution?

It is a stable solution.

What do I think about the scalability of the solution?

The scalability is good and it works on commodity hardware. One of the problems we have right now is that there is a lot of data and we're moving it from our Oracle solution. This means that there is a double cost, in terms of storage, during our transition to working with big data.

We are using a data lake that is a store for all of the data in our organization. There are more than25 projects, with between 25 and 30 people in each one, for a total of almost 1,000 people. All of them are dependent on this solution.

Most of our users are technicians who have problems to solve using the data available to them. A couple of them are data scientists and the remainder are upper management, who do the analysis.

How are customer service and technical support?

The technical support is very good. Whenever we open a ticket, we get support right away.

Which solution did I use previously and why did I switch?

We did use another solution prior to this one but it could not keep up with our increase in data.

What other advice do I have?

This suitability of this solution depends on the size of the data that you are going to be working with. If you have going to be working with a huge dataset that contains many gigabytes of data then this is a good solution. For smaller datasets, you should also consider other technologies.

My advice for anybody who is implementing this solution is to take some time to learn it. Beyond that, be sure to contact support if you have any problems because they are very helpful.

I would rate this solution a seven out of ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user