Apache Hadoop vs. Crystal

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.

Incentivized

All of our applications server in the new company that we bought are windows based, despite that there are other alternative to build the report and dashboard, it is something that has worked wonder for us, apart from it is only available in Windows and indexing data that might eat the resource, I still see the application as one of the major player for reporting

• 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.

Incentivized

• Consolidate data from several data sources
• Low to no code report generation
• Configurable

• 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

Incentivized

• This is bound for Windows OS, hard to find similar alternative on other OSs
• Be careful in Indexing your data, as it will consume resources

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

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.

Incentivized

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.

Incentivized

Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.

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.

Incentivized

We tried to explore other options but we didn't explore other options too long as it will risk our business process and business outcome, as what we want from the processes in both reports and dashboard are giving us a satisfactory result, so familiarity is why we still using it till today and some foreseeable future

• 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.

Incentivized

• Without the application, our lending business will be in complete stop, as our applications are wrote in Windows based
• We are processing 300 Loans/Month, taking it as $10000 per loan, having this not working properly will cost potential $150.000 revenue