Hadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.
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Quantum ActiveScale
Score 7.0 out of 10
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Quantum offers the ActiveScale cloud object storage system, acquired from Western Digital February 2020, designed to provide a highly durable, scale-out economic storage system. ActiveScale is a more recent model replacing the former Amplidata Object Storage product line that was acquired by Western Digital from HGST in 2015.
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.
Enterprise grade organizations with B2B clientele would be served well by using this product. It alleviates the need for an on-premise storage solution by offering a cloud-based alternative. Smaller organizations with less data capacity needs would be better served with an in-house solution, unless they come out with more reasonable pricing down the road.
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
It has been a fantastic solution, and now it is so highly integrated into our business, it would be difficult to imagine continuing to without it. It is part of our customer contracts as well, and it saves us from having to invest in the on-premise alternative to provide the required storage capacity.
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.
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.
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.
What sets Amplidata apart is the cloud-based storage capability. We’ve realized cost savings due to the fact that we are no longer housing the data on premise, and clients rest assured that they have greater visibility into their data.
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.
Amplidata has enabled us to replace our on-premise data storage for many of our larger clients, thus reducing the cost to deploy and house this ourselves
Clients feel confident in storing their sensitive data with us knowing that they have full management and visibility at their fingertips
The ability to quickly scale allows us to meet the needs of clients of all sizes
