Amazon EMR vs Datameer

• Easier to implement than older on-premise solutions
• Works with open source technologies.
• Keeps processing cost low.
• It is flexible and works also for short term workloads and the pricing changes to that model.

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• It leverages scalability, flexibility and cost-effectiveness of hadoop to deliver an end-user focused analytic platform for big data without involvement of IT.
• It overcomes Hadoop`s complexity by providing GUI interface with pre-built functions across integration, analytics and data visualization .
• Excel feature is awesome for business users which is already provided by Datameer.
• Using datameer now user can do smart analytic using Decision Trees, Column dependency and recommendation.
• Recently HTML5 inclusion is making application to available on a wider range of devices, including the iPad and other mobile devices which does not support Flash.
• It can be used in premise or in a cloud computing environment.
• Wizard-based data integration designed for IT and business users to schedule and do transformation of large sets of structured, semi-structured and unstructured data without any knowledge of Hadoop ecosystem.

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• It could have been more matured with machine learning capabilities.
• The support material available online on Elastic MapReduce is limited and we might end up spending more time in understanding/researching the tool.

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• Data visualization and graphics. Right now it's not very user friendly. Creating dashboards requires a lot of work that can be done by the application

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• It was obviously cheaper and convenient to use as most of our data processing and pipelines are on AWS. It was fast and readily available with a click and that saved a ton of time rather than having to figure out the down time of the cluster if its on premises.
• It saved time on processing chunks of big data which had to be processed in short period with minimal costs. EMR solved this as the cluster setup time and processing was simple, easy, cheap and fast.
• It had a negative impact as it was very difficult in submitting the test jobs as it lags a UI to submit spark code snippets.

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• Datameer definitely helped to increase employee efficiency, provide quick results for our data analytic teams.
• Quick data injection and data partitions allowed quick data scans.
• Integration with the Java sdk allowed us to reuse existing Java code.

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