Likelihood to Recommend We were able to deploy various applications using this and the memory io feature also helped in high-end results. The overall feel and global namespace help in deploying server-side API translations. We can expect greater heights as and when simplified with cloud gives a boon to all.
Read full review Altogether, I want to say that Apache Hadoop is well-suited to a larger and unstructured data flow like an aggregation of web traffic or even advertising. I think Apache Hadoop is great when you literally have petabytes of data that need to be stored and processed on an ongoing basis. Also, I would recommend that the software should be supplemented with a faster and interactive database for a better querying service. Lastly, it's very cost-effective so it is good to give it a shot before coming to any conclusion.
Read full review Pros It's open source hence brilliant to work with. Memory speed IO is great and helps achieve speed. Simplified cloud infra is another benefit. Read full review Handles large amounts of unstructured data well, for business level purposes Is a good catchall because of this design, i.e. what does not fit into our vertical tables fits here. Decent for large ETL pipelines and logging free-for-alls because of this, also. Read full review Cons Cost can be subsidised in case of long term. Easy to understand documents. Read full review Less organizational support system. Bugs need to be fixed and outside help take a long time to push updates Not for small data sets Data security needs to be ramped up Failure in NameNode has no replication which takes a lot of time to recover Read full review Likelihood to Renew Hadoop is organization-independent and can be used for various purposes ranging from archiving to reporting and can make use of economic, commodity hardware. There is also a lot of saving in terms of licensing costs - since most of the Hadoop ecosystem is available as open-source and is free
Read full review Usability Great! Hadoop has an easy to use interface that mimics most other data warehouses. You can access your data via SQL and have it display in a terminal before exporting it to your business intelligence platform of choice. Of course, for smaller data sets, you can also export it to Microsoft Excel.
Read full review Support Rating We went with a third party for support, i.e., consultant. Had we gone with Azure or Cloudera, we would have obtained support directly from the vendor. my rating is more on the third party we selected and doesn't reflect the overall support available for Hadoop. I think we could have done better in our selection process, however, we were trying to use an already approved vendor within our organization. There is plenty of self-help available for Hadoop online.
Gene Baker Vice President, Chief Architect, Development Manager and Software Engineer
Read full review Online Training Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
Read full review Alternatives Considered Not used any other product than Hadoop and I don't think our company will switch to any other product, as Hadoop is providing excellent results. Our company is growing rapidly, Hadoop helps to keep up our performance and meet customer expectations. We also use HDFS which provides very high bandwidth to support MapReduce workloads.
Read full review Return on Investment Got best user experience in house. Helped retain clients with better results. Got a better turnover. Read full review There are many advantages of Hadoop as first it has made the management and processing of extremely colossal data very easy and has simplified the lives of so many people including me. Hadoop is quite interesting due to its new and improved features plus innovative functions. Read full review ScreenShots