Cloudera Distribution for Hadoop Reviews

It is helpful to gather and process data.

We used to collect data in small cases, and with Cloudera Distribution for Hadoop, we used data on large scales. It helps to store and protect the data and is helpful for processing.

The Cloudera Distribution for Hadoop is valuable.

There are multiple bugs when we update.

We have been using this solution for three and a half years and using version 6.3. It is deployed on-premises.

It is a stable solution.

It is a scalable solution. It is the best solution for larger companies. There are about 3000 users, and there are medical teams for medical data with about 1000 users. We require about six people for maintenance and deployment.

Cloudera's support is helpful, and I rate the technical support a nine out of ten.

Positive

The initial setup was straightforward and not an issue.

We have seen a return on investment.

I rate this solution a nine out of ten, and it is a helpful solution.

We are using this solution for storing Big Data in one centralized location.

It has been helpful in allowing data storage in one centralized location with data lakes and all of the surrounding applications.

All of the data processes are being stored into the Big Data Lake.

It allows us to store huge amounts of data, which is an advantage.

They have BI (Business Intelligence) tools. There are many AI tools.

We are able to connect and analyze the data to get reports. The reports are very good.

The main advantage is the storage is less expensive.

The performance can be improved. We have experienced some performance issues. It is not as sophisticated as Oracle Sybase.

Currently, we are using many other tools such as Spark and Blade Job to improve the performance.

The setup could be simplified, it's complex.

The security needs to be improved.

I have been using this solution since 2015.

It's a stable solution.

Scalability is good. It's replicated and by default, with Big Data there is a replication factor.

Over the years we have grown, when we started we had 10 nodes now we have increased to a large number of nodes.

Technical support is good. I have been able to learn from them. As a developer, I am learning every day.

I would rate the technical support a ten out of ten.

Previously we were using Oracle Sybase SQL. We switched because now, we have introduced Big Data.

The initial setup was complex.

It's not as simple as Oracle Sybase.

It's a complex architecture because you have raw data and many engines.

When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive.

I am a part of security and software development. 

We are currently considering migrating to the cloud, and planning on using Microsoft Azure, mainly for the Big Data component.

I would rate this solution a five out of ten.

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.

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.

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

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

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.

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.

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.

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.

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.

I primarily use CDH for data storage and regular dashboard reports.

The most valuable feature is that I can use CDH for almost all use cases across all industries, including the financial sector, public sector, private retailers, and so on.

Cloudera's prices are too high and are not competitive with other solutions. They could also improve the Data Science Workbench and add some more features, like wizard activities.

CDH is stable.

CDH is scalable, but it's expensive to do it.

Cloudera's support is extremely bad and cannot be relied on.

I wouldn't recommend CDH to others because of its high cost.

I would rate CDH as eight out of ten.

This product is a framework for edge AI, it comes with multiple ecosystems as a project. I'm a senior data architect manager and we are consultants. We offer Cloudera to our customers but we don't have a partnership with them. 

The best feature is the layer shared experience. If you have a cluster available on-prem or in the cloud, you can manage that security layer using the shared SDX and it provides flexibility. New features are constantly being added. 

The only thing that needs improvement is the cost, it's a very expensive solution and one of the main reasons companies are not attracted to the product. 

This product has been around for a long time so it's very mature and stable.

The scalability is very good. 

The initial setup has become easier although you need a dedicated admin to maintain and manage the solution because it's a framework and not a single product. Deployment nowadays is much smoother with the PaaS offering in the public cloud, so you can carry out the deployment with an in-house team. The deployment only takes a day but a company is unlikely to go with the default so the solution needs fine-tuning which can take a couple of weeks. 

For enterprise organizations that can bear the cost, it's a good solution. A smaller company wouldn't be able to afford the licensing fees. You can get a free trial for 60 days. They'll never have a community version because they're the only ones in the market offering this kind of framework. 

I rate this solution nine out of 10. 

We are a distributor for Hadoop. Our customers choose whether they would like to use Cloudera or another product.

Cloudera Distribution is deployed on-premise as well as on bare metal servers in AWS.

Cloudera is a very manageable solution with good support.

When you compare Cloudera with EMR, EMR has a lot of administrative features, so you don't need to manage the solution. Cloudera is not as easy, as it requires more DevOps resources than other solutions.

We have been offering this solution for five years.

Cloudera Distribution is stable.

This is a scalable solution. We have clients that have a large installation of Cloudera.

Technical support from Cloudera is fine.

The initial setup of Cloudera is difficult. After you have installed it once, it is not difficult to reproduce.

For a POC deployment, we required only one DevOps. On larger-scale implementation, we also require a data engineer. 

Cloudera requires a license to use.

We looked at EMR, however Cloudera is better when using OnPrem.

Cloudera is one of the best solutions for on-prem. 

I would rate this solution an 8 out of 10.

We use this solution to process data.

When using an SQL Server you have to build indexes and you need to fine-tune the data.

We import the data that is in the SQL Source.

With a single script, we are able to run the jobs within minutes, which is an advantage.

We are using the Power BI model for the business convention. The performance in Power BI will be reduced if you incorporate more calculations. Those calculations are captured in the Hadoop layer and processed.

It could be faster and more user-friendly.

I have been using this solution for seven months.

It's a stable product. I don't see any performance issues.

This solution is scalable. We have 40 users for different projects in our organization.

We will continue to use this solution.

Technical support is good.

I didn't use any other product.

The installing is straightforward.

Our clients provide us with the access to use it directly.

Once you have been given access to the edge nodes we are able to run the scripts in the Hadoop layer.

We do not pay for licensing because our customers forward it, so there is no need to purchase the license for the project.

I would recommend this solution.

I would rate Cloudera Distribution for Hadoop a nine out of ten.

We use the solution for the data warehousing.

The product as a whole is good.

There are better solutions out there that have more features than this one.

I have just started using the solution.

I do not know of any issues with the stability of the solution.

I have an internal team that does maintenance for the solution.

The price could be better for the product.