Cloudera Distribution for Hadoop Reviews

We use the solution to maintain our legacy data warehouse for better performance and more extensive storage.

The solution's most valuable feature is the enterprise data platform.

They should work on the solution's pricing. Also, finding resources with good experience in the solution is difficult. Thus, they should upgrade their technical capabilities in the market. 

They should add features like AutoML and AutoDev for enhanced machine-learning experiences. In addition, they should consider developing an integration capability similar to Informatica for an end-to-end enterprise solution.

We have been using the solution for one year.

The solution's customer support team could be better. We received their assistance only with installation and configuration.

The solution is expensive. The license costs around 10k.

Cloudera is a cost-effective solution if you need more storage space. In this case, I advise you to opt for it. I rate the solution as an eight out of ten.

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.

• Cloudera Manager for administering the Hadoop cluster
• Cloudera specific solutions like Impala
• Extensive documentation
• Good user community

Implementing a Hadoop cluster has become relatively straight-forward using CDH. Administering it is also less complex. As a result, efforts spent in these areas are less than anticipated.

• Some of the UI features seem confusing e.g. charts on the CM Services page
• Sometimes it gets confusing to follow a single path for installation due to multiple recommended approaches e.g. parcels vs packages

We have been using it for the last two years.

Following a single path for installation becomes confusing due to multiple recommended approaches e.g. parcels vs packages.

Flume seems unstable and has to be restarted quite often.

None as such

We are mostly using Cloudera Express so we did not use their technical support. However, the Cloudera community is an active place and Cloudera representatives participate actively in understanding and resolving issues.

Cloudera is a prominent player in the Hadoop space and we did not have a need to adopt a different solution. However, we are also looking to work on Hadoop and MapR

Following a single path for installation was initially confusing due to multiple recommended approaches e.g. parcels vs. packages. However, after a while, we managed to master it. However, knoweldge of Cloudera Manager and Hadoop architecture is a must.

We have our own team of consultants who are proficient in implementing it. The high level steps about the implementation remain the same; however, it is the environment specific issues which are challenging.

We haven't really measured ROI.

Licensing price on per node basis for Cloudera seems to be pretty steep (based on the inputs we have received from Cloudera).

It is user friendly and installation is pretty straightforward. Cloudera Manager is a good tool to administer it. However, configuration for specific requirements is sometimes pretty complex.

You should have a team which is knowledgeable in Hadoop. Do keep in mind that the product is still maturing so there are good chances that you will come across unexpected issues now and then.

Our core product is an insurance product and the actuarial module is quite complex. SMEs so far collect data from various sources into Excel sheets and through macros do the analytics which is a very crude form of doing the analysis. So we thought to use big data for such analysis.

That is still in PUC stage, as I have mentioned our analyst used to do the actuarial on a spreadsheet but after Hadoop  implementation they are getting confidence that now analysis is more appropriate and fast. Now exploring cloud implementation as well.

Keeping multi copies of the file and tools of map reduce like PIG, HIVE due to their flexibility it is easy to develop the application with less or almost no knowledge of Java and Sql. And capability to handle huge data size.

As such in the product side, I don't have much to comment. But like other upcoming technologies like RPA, AI, GO etc they have ample training materials with variety of USE Cases, which users can understand and aligned with their current requirements. On same ground I didn't see much training materials from Cloudera.

Seems quite stable, as such didn't face any issue.

It is very stable, didn't face any performance issue.

No when we were heard of Hadoop, we tried on that only. I mean tried to migrate from spreadsheets to Hadoop.

Very straight forward. Typical Windows type installation...Next, next, next clicks.

In-house.

Other department handles all these so I can't comment on that.

Not really.

Very solid. Excellent user experience. good documentation. The Cloudera Manager is definitely a deal breaker. Packaging for Ubuntu is great for all the components.

Before the introduction of Cloudera Manager (that actually works), all the orchestration was done with scripts and Chef, and inexperienced team members had difficulties to participate in maintenance. The Cloudera Hadoop manager eased the work.

More customization, better documentation for the API (basically it's the same for all Cloudera Hadoop components).

I've used it for two years.

No issues encountered.

No issues encountered.

No issues encountered.

Didn't use dedicated service or support. The documentation is a bit of a mess, but it is decent and sufficient.

Straightforward. The CDH VirtualBox with preconfigured environment helps for demonstration purposes

We did it in-house.

We also looked at Hortonworks, but chose Cloudera because of my familiarity with it.

Do a comparisomn with Hortonworks as it's always good to compare to another major vendor

The most valuable feature for me are--

• Sentry - provides granular-level security
• Impala - open-source, MPP database

We used it to build an enterprise data hub.

Apache Kudu needs improvement. It's a real-time updatable database.

We used a vendor team to implement the solution.

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.

We are a solution provider and this is one of the systems that we implement for our clients.

Our clients for this product are in the financial industry and they use it to perform cost analysis tasks.

The most valuable feature is Kubernetes.

The price of this solution could be lowered.

We have been using the Cloudera Distribution for Hadoop for five years.

It is a stable solution.

The Cloudera Distribution for Hadoop can be scaled. Our customers are enterprise-level companies and they have about 100 users for this solution.

We offer technical support for this solution to our customers.

We did not use another solution prior to this one.

The initial setup is straightforward.

The pricing is expensive.

Cloudera really has no competition.

I would rate this solution a nine out of ten.