Cloudera

(19)
4.1 out of 5 stars

Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise.

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Showing 19 Cloudera reviews
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Cloudera review by <span>Sean K.</span>
Sean K.
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Great Hadoop OS that has good support and stability

What do you like best?

Cloudera is very versatile for multiple use cases to handle data. Works will as data storage and can be used as a work horse to crunch large amount of data for Analytics purposes.

Very happy with Cloudera and expanding our 17 node environment to 140 nodes.

What do you dislike?

Need to be experience to really know how to use the advanced features. Any tech savy engineer can learn this relatively quickly.

Recommendations to others considering the product

Great product that meets our needs and also ended up being our Enterprise version used.

What business problems are you solving with the product? What benefits have you realized?

Ability to store large amount of data that can be used to retain and also ability to process and derived data. While it is not a deep tool for one particular feature. It is very good for many different things.

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Cloudera review by <span>Mario C.</span>
Mario C.
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Big Data made easy with Cloudera

What do you like best?

Cloudera abstracts you from the need of really knowing the depths of a Hadoop cluster at the beginning of your analytics stage. It's simply very easy to deploy servers with HDFS already deployed and connected that will give you automatic support to run Hive or Pig queries.

What do you dislike?

Cloudera has very little things to not like it until it fails for some (usually) unknown reason. Crashes are not common but it's very annoying when it happens on a very long job. When we deal with distributed systems, however, failures are a very common thing so it lacks some better feedback of logs and error logs.

Recommendations to others considering the product

Cloudera and Hortonworks are the products to start with if you don't really know absolutely everything that is involved in a Hadoop cluster. Cloudera is more popular and have been around lot of time but Hortonworks is also a good option. Cloudera certifications are valuable in the industry (althought Hortonworks are cheaper). It depends on your focus, if your prefer some more known and used product to start in a Big Data cluster and pretend to be certified, try one of the virtual machines that Cloudera offers to start playing with. If you simply want to learn a bit of "Big Data" things for yourself, maybe I'll give a try to Hortonworks as all it's architecture is also open to read and learn.

What business problems are you solving with the product? What benefits have you realized?

If you want to deploy a relatively small cluster to execute batch processing that was taking days to hours, or some high speed queries that where taking hours to some minutes over a large set of data using a known SQL-like language like Hive is perfect.

What Big Data Processing and Distribution solution do you use?

Thanks for letting us know!
Cloudera review by User in Computer Software
User in Computer Software
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An amazing Hadoop distribution with fantastic UI

What do you like best?

I have been working on Cloudera Hadoop Distributions (CDH) since last two years. In this capacity, I have encountered many amazing features of CDH including but not limited to User Interface (UI) and Kerborse set up. Kerborse configuration through CDH UI is as easy as it can be. Not to mention that it does an amazing job of big data management and analytics.

What do you dislike?

CDH is comparatively slower than other distributions. In addition to that, it's setup and configuration can be often hard and confusing.

Recommendations to others considering the product

If you heard about this product, I would suggest you to give it a shot. It might be best thing that has ever happened to you.

It has great User friendly interface and search features if you are looking into configurations.

What business problems are you solving with the product? What benefits have you realized?

We have been using CDH for HIVE, HDFS and HBASE majorly. With help of this distribution we were able to streamline our products including Informatica Enterprise Information Catalog (EIC) or Live Data Map and Intelligent Data Lake.

Cloudera review by <span>Kushal R.</span>
Kushal R.
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Cloudera is a great hadoop environment

What do you like best?

Ease of use and setup. You are easily able to diagnose problems with the cluster through the GUI. Spark integration as well as Hbase is great for our needs. Kafka integration has helped us test a new feature in application thereby increasing performance. All the metrics related to the environment really gives us an idea about our clusters health, thereby reducing surprises.

What do you dislike?

Couple of small setup that are very integrated to our old system were hard to figure out. A little bit more documentation is needed. SparkSQL is not fully supported and there is no way for us to upgrade an individual component our-self. The change on location of libraries from the given virtualbox image to the production environment caused small issues. It might be better if the VM was able to replicate the production environment as close as possible.

What business problems are you solving with the product? What benefits have you realized?

Storing large amounts of data and processing it in reasonable time frame. Being able to use our old code base with small changes to library as opposed to rewriting our entire code. Option of having mapreduce or YARN is great as our code does not work with YARN. Installing cloudera 5.4 reduces our time to deployment from 4 days to 1 which is great.

Cloudera review by <span>Anubhav A.</span>
Anubhav A.
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Cloudera is a great hadoop environment

What do you like best?

Ease of use and setup. You are easily able to diagnose problems with the cluster through the GUI. Spark integration as well as Hbase is great for our needs. Kafka integration has helped us test a new feature in application thereby increasing performance. All the metrics related to the environment really gives us an idea about our clusters health, thereby reducing surprises.

What do you dislike?

Couple of small setup that are very integrated to our old system were hard to figure out. A little bit more documentation is needed. SparkSQL is not fully supported and there is no way for us to upgrade an individual component our-self. The change on location of libraries from the given virtualbox image to the production environment caused small issues. It might be better if the VM was able to replicate the production environment as close as possible.

Recommendations to others considering the product

Storm integration, Support for SparkSQL and its newer components. Allowing users to upgrade individual components to match with opensource release. It may not be compatible but will give us users a chance to fix/learn in the meantime.

What business problems are you solving with the product? What benefits have you realized?

Storing large amounts of data and processing it in reasonable time frame. Being able to use our old code base with small changes to library as opposed to rewriting our entire code. Option of having mapreduce or YARN is great as our code does not work with YARN. Installing cloudera 5.4 reduces our time to deployment from 4 days to 1 which is great.

Cloudera review by <span>Bharadwaj (Brad) C.</span>
Bharadwaj (Brad) C.
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Great Platform for HBase

What do you like best?

1. Cloudera is one of the distribution platform for HBase/Hadoop.

2. You get the knowledge base of the top Hbase committers

3. Licensing fee is cheap (when compared to Hortonworks)

4. Easier installation

5. Good support teams to respond to your problems

What do you dislike?

1. Focussed mainly on HBase and not on the entire Hadoop ecosystem

2. Not a great support team on Hadoop in general

Recommendations to others considering the product

If you want only HBase, then cloudera is the way to go. But if you are looking at a holistic view of Hadoop and utilizing other projects under Hadoop, then I would recommend Hortonworks because of their larger knowledge base (found it the hard way and now migrating from Cloudera to Hortonworks)

What business problems are you solving with the product? What benefits have you realized?

Building Catalog and Analytics cluster for major retailers where we can provide customizable customer experience to all customers.

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