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.
manage your data on a very big scale. Negative: since its computationally expensive, the laptops were upgraded and that was pretty heavy on financials. Positive:
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
all of the company's data easily accessible via a SQL interface Allows affordable data storage
of securely storing data without paying the fortune that most warehouses charge for premium cloud storage. … Need cheap enterprise-level storage for data that is necessary to keep but isn't regularly … It's half the price of our more premium data storage, so we've saved…
the existing codebase. Azure was just more expensive but again was easier to setup. In the end, cost won out because even though the competition was … Hadoop is easy to use. It is a scalable and cost-effective solution for working…
Hadoop was thought to be cheap, but it is actually a very expensive proposition. Support is required for Hadoop, so it is
processing a huge amount of data efficiently. High availability, scalability and cost efficiency are the main considerations for implementing Hadoop as one of … Hadoop Distributed Systems is reliable. High scalability Open Sources, Low Cost, Large Communities … processing a huge amount of data efficiently. High availabi…
Apache Hadoop is a cost effective solution for storing and managing vast amounts of data efficiently. It is dependable and works even when various clusters … It is cost effective. It is highly scalable. Failure tolerant.
processing a huge amount of data efficiently. High availability, scalability and cost efficiency are the main considerations for implementing Hadoop as one of … as a huge impact on reducing the cost of data st…
Cost reduction Time to market Abundant tools
Highly Scalable Architecture Low cost Can be used in a Cloud Environment Can be run on commodity Hardware Open … case. You can also use AWS - EMR with S3 to store a lot of data with low cost.
replicated HDFS filesystem allows for fault tolerance and the ability to use low cost JBOD arrays for data storage. Yarn with MapReduce2 gives us a job slot scheduler
Hadoop was a cheaper alternative to Amazon. Since I had to pay for every minute I use with Amazon
Hadoop works well with generic "commodity" hardware negating the need for expensive enterprise grade hardware. It is mostly unaffected by system and hardware … support for generic hardware Improved time and cost of data analysis … Price Product Features Product Usability…
model. Data warehousing is also another good use case. Using Teradata is expensive.
Hadoop being open source, is cheaper to use and do POCs for clients. Cloudera, Hortonworks and MapR also compete
Hadoop is a very cost effective storage solution for businesses’ exploding data sets. Hadoop can
You dont need to pay a heavy licensing fee for Hadoop. You save money. It is open source technology so some times you
Because Hadoop is open source, the cost is basically limited to the hardware. However, organizations with large clusters
Price Product Features Product Usability
and open source ( so lots of cost savings ). Data analysis is very fast when compared to old systems, resulting in more value to the business. … batch processing jobs resulting in getting better value of data Since Hadoop is free , lots of cost savings Since it is distributed, no fear of data failures … and open s…
capabilities have been explored within our organization. Scalability is not a labor/cost intensive exercise and new workload management features of YARN are very
