Amazon EMR is a cloud-native big data platform for processing vast amounts of data quickly, at scale. Using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi (Incubating), and Presto, coupled with the scalability of Amazon EC2 and scalable storage of Amazon…
Pricing should be better User Interface should be more attractive Faster ramp up … It was expensive at the start when the scale was small It started showing good ROI when … with other technologies. Speed, and integrations were more important than cost so Amazon EMR…
not a recommended service to mange smaller amounts of data expensive not the best user interface out there … deploy because it is simple to configure and scale even though it can be expensive at times. It als…
Cost effective if configured correctly. On Fail configuration need to pay the price. Dealing with large datasets saves … Manage large database well. Usage Monitoring. Quick Cost effective. Little … Compared to IBM Analytics Engine, Amazon EMR is a much cheaper option…
We migrated the entire hadoop structure to Amazon EMR, the cost and maintenance are much better compared to other solutions on the market. We created a … the Amazon EMR.We migrated the entire hadoop structure to Amazon EMR, the cost and maintenance are much better compared to other solutions on the market … Good choic…
spin up an EMR cluster quickly. If you are cost-focused you need to be careful as an EMR cluster can end up costing a lot of money if misconfigured. … Scalability Costings Flexibility Costs … Costs can spiral out of control if not careful Customers put off by costings…
Scalable Flexible Good documentation Cost effective … replicate data for backup. Better performance metrics for business people such as cost benefits.
Easy to integrate with other services. Very time and cost effective. … Hard to manage. It can suggest cost saving tricks because it can be costly if not done … Reduced cost Reduced time Do need experienced developer to implement.
Quick. Massive. Relatively cheap. … to be aware that if something is not set correctly in the first place, the cost could potentially be very large. Therefore, it is very critical to not do … Big price on failed instance. Save time on big dataset. Monitoring usage.
frameworks, and provide the Amazon EMR highlights, product details, and pricing information. It is used across the whole organization and is enjoyed by … highlights, product details, and pricing information for Amazon EM…
to implement (hence less dev cost) and it is way more efficient when managing the data VS other tools, so the overall cost reduction is considerable. … source technologies. Keeps processing cost low. It is flexible and works also for short term workloads and the pricing changes…
then Elastic MapReduce is more of an overhead tool that doesn't add much value. The analytical capabilities of Elastic MapReduce are nowhere near as complex
Cost overhead is a bit high Limited versions of frameworks that can be used … distributions so it is difficult to comment, but the general tradeoff is, at the cost of a longer setup time and more infra management, you get more flexible versioning
EMR solved this as the cluster setup time and processing was simple, easy, cheap and fast. … cores to process the data and these instances are cheaper when the data is stored on s3. It is really cost efficient. No need to maintain any libraries to … reduces t…
