Amazon EMR vs Heroku Platform

• 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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• Heroku has a very simple deployment model, making it easy to get your application up-and-running with minimal effort. We can focus on our efforts the unique aspects of our application.
• The robust add-on marketplace makes it easy to try out new approaches with minimal effort and investment -- and when we settle on a solution, we can easily scale it.
• Heroku's support is quite good -- their staff is quite technical and willing to get into the weeds to diagnose even complicated problems.

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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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• Large price jumps between certain resource tiers (2x Dyno for $50 per month versus Performance Dyno for $250). Free Postgres next jumps to $50 per month.
• Marketing/Branding to non-technical stakeholders. As the years pass, I've had to fight more to convince stakeholders on the value of Heroku over AWS.
• Improve Buildpack documentation. This is one area where Heroku's documentation is fairly confusing.

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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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• Heroku allowed us to get up and running fast. Deployment was really easy and connecting to our codebase was, too. The deployment integration with GitHub is pretty slick.
• The add-ons provisioning is so simple and the documentation is so thorough that, at least at first, it means you don't have to hire a dedicated devops person to manage this stuff.
• Heroku has tools that allow the collaborators (those with access to the Heroku dashboard) to be able to quickly and easily do triage from just about anywhere, including your smartphone.

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