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12 Hortonworks Data Platform Reviews
Overall Review Sentiment for Hortonworks Data Platform
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Open source Apache Hadoop based platform for Bigdata Review collected by and hosted on G2.com.
Few features lack in HDP management tool ambari compared to other distribution like Cloudera Review collected by and hosted on G2.com.
HDP is the closest open source platform you can get in hadoop eco system with more choice of tools than everything else. The convenience of Ambari UI and API for building, deploying and managing the cluster makes it relatively easy to get started. With Yarn and Spark you can mix different nodes for storage and compute and master nodes to manage loads. Review collected by and hosted on G2.com.
Version upgrades are more challenging than anticipated. Each upgrade has it's own quirks and compatibility issues that need to be resolved manually. Review collected by and hosted on G2.com.
Handling scale spark integration and hugs management Review collected by and hosted on G2.com.
Bottlenecks And congestion. Speed for getting large amount of data is slow sometimes Review collected by and hosted on G2.com.
Hortonworks, namely Hadoop Hive is very good for K-Means clustering and data mining via regex commands. Review collected by and hosted on G2.com.
Not a huge fan of the web based query system. Much prefer an application similar to SQL Server or a Teradata. Review collected by and hosted on G2.com.
Documentation with clear examples. Easy for any beginner to start with hadoop.
Their blogs are really good to find solutions for the common problems that we come across.
Due to it's good performance, we eventually moved from cloudera to hortonworks platform.
It supports Windows platform as well. Review collected by and hosted on G2.com.
VM setup - It's not as good as what Cloudera provides.
Monitoring isn't that great. Ambari Management interface on HDP is just a basic one and does not have many rich features. Review collected by and hosted on G2.com.
The tutorials that they provide on their website are the best.
So, simplified and easy to understand. Plus they also provide us with the working model of their implementation which we can implement ourself side by side giving us a feel of what is happening and how it is happening.
They have also attached screenshots of each and every screen which helps us a lot. The comment section that they have included also helps us solve the error because sometimes same error had been faced by some other person and experts helps us solve that error. Review collected by and hosted on G2.com.
I just dislike the virtual image they provide us. My laptop configurations is decent enough to support cloudera's Vm and run processes on it but the VM that they have provided are too slow to process. Plus, in some tutorials, especially the projects that they have mentioned, I tried to implement that and I was getting errors which I was unable to resolve. Review collected by and hosted on G2.com.
The tez engine ,hortonworks sandbox which can be installed for learning and development purposes Review collected by and hosted on G2.com.
Real time analytics like impala is unavailable Review collected by and hosted on G2.com.
1. Knowledge base of the original committers
2. Very good support team
3. Provides more features for the money
4. SmartSense of HDP is a great way of understanding the problems before they happen
5. Integrates very well with Apache Phoenix (SQL on Hadoop) Review collected by and hosted on G2.com.
1. Licensing cost is high when compared to other distribution partners Review collected by and hosted on G2.com.
Hortonworks comes barebones with everything you need for a managed modern Hadoop stack, including services such as HDFS, YARN, MapReduce, Pig, Hive, Oozie, HBase, Storm, and Spark. The service and support itself is solid. Review collected by and hosted on G2.com.
Hortonworks is a bit of an underdog, with Cloudera being the market leader. Review collected by and hosted on G2.com.
