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Great Hadoop OS that has good support and stability
What do you like best about the product?
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.
Very happy with Cloudera and expanding our 17 node environment to 140 nodes.
What do you dislike about the product?
Need to be experience to really know how to use the advanced features. Any tech savy engineer can learn this relatively quickly.
What problems is the product solving and how is that benefiting you?
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.
Recommendations to others considering the product:
Great product that meets our needs and also ended up being our Enterprise version used.
CDH and CM
What do you like best about the product?
Installs hadoop across multiple servers easily.
can manage hadoop clusters with cloudera manager easily.
Cloudera management service is nice to view metrics per servers.
provide some useful tools (like impala).
can manage hadoop clusters with cloudera manager easily.
Cloudera management service is nice to view metrics per servers.
provide some useful tools (like impala).
What do you dislike about the product?
certain functionalities (like rolling restart) requires enterprise edition
sometimes the symlinks created are multiple symlinks which make no sense
they take awhile longer to repackage newer versions of tools (like spark, parquet, etc...)
sometimes the symlinks created are multiple symlinks which make no sense
they take awhile longer to repackage newer versions of tools (like spark, parquet, etc...)
What problems is the product solving and how is that benefiting you?
managing hadoop clusters using CDH's version is easy.
Better than plain hadoop
What do you like best about the product?
It does make administrating and writing code in hadoop a lot easier.
What do you dislike about the product?
A lot of extra configurations to do. Its not a con but I was confused as a beginner.
What problems is the product solving and how is that benefiting you?
I was using it for my thesis. It does help to administer hadoop lot better
Cloudera for Big data platforms
What do you like best about the product?
Increased performance and processing times
What do you dislike about the product?
Dependency on Mappers.I am yet to explore to be able to thoroughly review.
What problems is the product solving and how is that benefiting you?
Loading unstructured data leads to less processing time when a query is sunbmitted
Great Platform for HBase
What do you like best about the product?
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
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 about the product?
1. Focussed mainly on HBase and not on the entire Hadoop ecosystem
2. Not a great support team on Hadoop in general
2. Not a great support team on Hadoop in general
What problems is the product solving and how is that benefiting you?
Building Catalog and Analytics cluster for major retailers where we can provide customizable customer experience to all customers.
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)
Big Data made easy with Cloudera
What do you like best about the product?
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 about the product?
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.
What problems is the product solving and how is that benefiting you?
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.
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.
I love Cloudera
What do you like best about the product?
Cloudera is the LEADING managed Hadoop platform. Previous organizations I've worked at have used Hortonworks or Pivotal, but Cloudera emerged as the leading stack. Their platform offers everything – Hadoop, HDFS, YARN, MapReduce, Pig, Hive, Hbase, Oozie, Impala, Spark, Sqoop, and so much more. Their release cycle is pretty quick, and their developers and specialists are experts and contributors to the Apache open source projects. I love Cloudera. Take a look at their blog!
What do you dislike about the product?
The release cycle for CDH is a bit slow, but it's a trade off for stability and security. For example, Spark runs out of the box as an app on YARN. But Spark's rapid release cycle fell into Cloudera's longer cycle, and we wound up with Spark 1.3 for months as 1.4 and 1.5 were released.
The training is a bit repetitive & shallow at times, and could go more in depth, especially with so many talented developers on staff.
The training is a bit repetitive & shallow at times, and could go more in depth, especially with so many talented developers on staff.
What problems is the product solving and how is that benefiting you?
We have a couple of data lakes that we migrated and built out on Cloudera. Primarily business intelligence and analytics.
Clouder Easy Install
What do you like best about the product?
Easy to install, simple to configure. Dashboard and API Dashboard ease of use. A lot of services
What do you dislike about the product?
Sometimes manager host needs a lot of RAM. Cloudera client sometimes not responsive
What problems is the product solving and how is that benefiting you?
Hadoop management made easy
Recommendations to others considering the product:
yes, its better than other vendor IMHO
Cloudera is a great hadoop environment
What do you like best about the product?
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 about the product?
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 problems is the product solving and how is that benefiting you?
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.
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.
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