Cloudera Octopai Data Lineage
ClouderaReviews from AWS customer
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Review for cloudera mainly for CCA 175
What do you like best about the product?
I’m using cloudera platform for CCA 175 Hadoop and Spark Developer certification preparation. Best thing is it fits in 8 gb ram machine. It includes almost all the hadoop eco systems.
What do you dislike about the product?
The licensing cost. It much higher compared to Hortonworks. That’s why my employer AT&T is slightly migrating to Hortonworks.
What problems is the product solving and how is that benefiting you?
Big data: Data storage issues
Not very reliable but easy to use
What do you like best about the product?
The interface. It is simple and clean, the user can learn to navigate very easily. Plugins of impala and HIVE allow any SQL user to easily adapt
What do you dislike about the product?
It cannot tell while execution that due to others it will not be able to compute the given task immediately.
What problems is the product solving and how is that benefiting you?
Database creation that in linked to an iPad app for AstraZeneca
Recommendations to others considering the product:
Assure that you take enough S3 memory even for your Development and testing environment.
An amazing Hadoop distribution with fantastic UI
What do you like best about the product?
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 about the product?
CDH is comparatively slower than other distributions. In addition to that, it's setup and configuration can be often hard and confusing.
What problems is the product solving and how is that benefiting you?
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.
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.
It has great User friendly interface and search features if you are looking into configurations.
The easiest-to-use big data platform out there
What do you like best about the product?
Cloudera Manager. By far the best integrated system for administrating Hadoop clusters.
What do you dislike about the product?
Having to deal with the installation of CSDs when adding parcels for new services (e.g. Kudu). It's very inconvenient and should be part of the parcel deployment process.
What problems is the product solving and how is that benefiting you?
I work at a company that integrates with Cloudera Manager with other systems in dataflow pipelines. Using Cloudera is the easiest of the big data platforms that we use.
Effective in managing all hadoop services
What do you like best about the product?
It is effective in managing all hadoop services, configuring parameters, and monitoring the hadoop status in one place.
What do you dislike about the product?
It is really hard to keep software up to date or allow users to install softwares by themselves.
What problems is the product solving and how is that benefiting you?
Manage data pipeline for daily reporting and analytics tasks.
It helps us to organize our nightly data workflow and visualized the progress and resource used.
It helps us to organize our nightly data workflow and visualized the progress and resource used.
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.
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.
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