What users are saying about
245 Ratings
Top Rated
246 Ratings
245 Ratings
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Score 8.4 out of 100
Top Rated
246 Ratings
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Score 8.5 out of 100

Likelihood to Recommend

Hadoop

Apache Hadoop (and its subsequent add-ons) are well-suited to larger, unstructured data flows, such as aggregation of web traffic or advertising. Geospatial algorithms and their outputs are well-suited for this kind of aggregation as structuring that data is challenging, but leaving it unstructured and performing queries as-needed is a better fit for most business models. With the advent of data science, I would expect Hadoop fits a LOT of their initial outputs quite well.
Joe Hughes | TrustRadius Reviewer

AWS Elastic Beanstalk

With [AWS] Elastic Beanstalk, you can interact by using the Elastic Beanstalk console, the AWS Command Line Interface (AWS CLI), a high-level CLI designed specifically for Elastic Beanstalk. [AWS] Elastic Beanstalk can be deployed quickly and provides a lot of functionality that would otherwise take a longer time to set up and maintain
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Platform-as-a-Service

Hadoop
AWS Elastic Beanstalk
8.2
Ease of building user interfaces
Hadoop
AWS Elastic Beanstalk
8.4
Scalability
Hadoop
AWS Elastic Beanstalk
9.0
Platform management overhead
Hadoop
AWS Elastic Beanstalk
7.5
Workflow engine capability
Hadoop
AWS Elastic Beanstalk
8.5
Platform access control
Hadoop
AWS Elastic Beanstalk
8.0
Services-enabled integration
Hadoop
AWS Elastic Beanstalk
8.3
Development environment creation
Hadoop
AWS Elastic Beanstalk
8.7
Development environment replication
Hadoop
AWS Elastic Beanstalk
8.3
Issue monitoring and notification
Hadoop
AWS Elastic Beanstalk
7.7
Issue recovery
Hadoop
AWS Elastic Beanstalk
7.7
Upgrades and platform fixes
Hadoop
AWS Elastic Beanstalk
8.3

Pros

Hadoop

  • HDFS is reliable and solid, and in my experience with it, there are very few problems using it
  • Enterprise support from different vendors makes it easier to 'sell' inside an enterprise
  • It provides High Scalability and Redundancy
  • Horizontal scaling and distributed architecture
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

AWS Elastic Beanstalk

  • AWS Elastic Beanstalk was easy to implement, we only had to insert the application code to have it up and running in a few minutes. This helps us to launch company campaigns for different areas such as marketing, commercial and human resources.
  • It has a fast learning curve, since the training material of the platform is public on the manufacturer's portal, furthermore it is easy to interact and intuitive for developers.
  • The productivity of the equipment is optimized since they are not worrying about preparing the platform or infrastructure, they only have to attend to what is required by the application and its operation and this maintenance.
  • The indicators and metrics that it has, ensure that the application cannot be saturated and have a performance problem, with AWS Elastic Beanstalk the application can scale resources when needed automatically.
Diego Gamez | TrustRadius Reviewer

Cons

Hadoop

  • Hadoop is a batch oriented processing framework, it lacks real time or stream processing.
  • Hadoop's HDFS file system is not a POSIX compliant file system and does not work well with small files, especially smaller than the default block size.
  • Hadoop cannot be used for running interactive jobs or analytics.
Mrugen Deshmukh | TrustRadius Reviewer

AWS Elastic Beanstalk

  • Limited to the frameworks and configurations that AWS supports. There is no native way to use Elastic Beanstalk to deploy a Go application behind Nginx, for example.
  • It's not always clear what's changed on an underlying system when AWS updates an EB stack; the new version is announced, but AWS does not say what specifically changed in the underlying configuration. This can have unintended consequences and result in additional work in order to figure out what changes were made.
Joshua Dickson | TrustRadius Reviewer

Likelihood to Renew

Hadoop

Hadoop 9.6
Based on 8 answers
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
Bhushan Lakhe | TrustRadius Reviewer

AWS Elastic Beanstalk

AWS Elastic Beanstalk 7.9
Based on 2 answers
As our technology grows, it makes more sense to individually provision each server rather than have it done via beanstalk. There are several reasons to do so, which I cannot explain without further diving into the architecture itself, but I can tell you this. With automation, you also loose the flexibility to morph the system for your specific needs. So if you expect that in future you need more customization to your deployment process, then there is a good chance that you might try to do things individually rather than use an automation like beanstalk.
Rahul Chaudhary | TrustRadius Reviewer

Usability

Hadoop

Hadoop 8.5
Based on 5 answers
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.
Blake Baron | TrustRadius Reviewer

AWS Elastic Beanstalk

AWS Elastic Beanstalk 7.6
Based on 10 answers
It is a great tool to manage your applications. You just need to write the codes, and after that with one click, your app will be online and accessible from the internet. That is a huge help for people who do not know about infrastructure or do not want to spend money on maintaining infrastructure.
Anonymous | TrustRadius Reviewer

Support Rating

Hadoop

Hadoop 6.9
Based on 6 answers
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.
Gene Baker | TrustRadius Reviewer

AWS Elastic Beanstalk

AWS Elastic Beanstalk 7.6
Based on 19 answers
As I described earlier it has been really cost effective and really easy for fellow developers who don't want to waste weeks and weeks into learning and manually deploying stuff which basically takes month to create and go live with the Minimal viable product (MVP). With AWS Beanstalk within a week a developer can go live with the Minimal viable product easily.
Anonymous | TrustRadius Reviewer

Online Training

Hadoop

Hadoop 6.1
Based on 2 answers
Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
Bhushan Lakhe | TrustRadius Reviewer

AWS Elastic Beanstalk

No score
No answers yet
No answers on this topic

Implementation Rating

Hadoop

No score
No answers yet
No answers on this topic

AWS Elastic Beanstalk

AWS Elastic Beanstalk 7.0
Based on 2 answers
- Do as many experiments as you can before you commit on using beanstalk or other AWS features.- Keep future state in mind. Think through what comes next, and if that is technically possible to do so.- Always factor in cost in terms of scaling.- We learned a valuable lesson when we wanted to go multi-region, because then we realized many things needs to change in code. So if you plan on using this a lot, factor multiple regions.
Rahul Chaudhary | TrustRadius Reviewer

Alternatives Considered

Hadoop

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.
Anonymous | TrustRadius Reviewer

AWS Elastic Beanstalk

We also use Heroku and it is a great platform for smaller projects and light Node.js services, but we have found that in terms of cost, the Elastic Beanstalk option is more affordable for the projects that we undertake. The fact that it sits inside of the greater AWS Cloud offering also compels us to use it, since integration is simpler.We have also evaluated Microsoft Azure and gave up trying to get an extremely basic implementation up and running after a few days of struggling with its mediocre user interface and constant issues with documentation being outdated. The authentication model is also badly broken and trying to manage resources is a pain. One cannot compare Azure with anything that Amazon has created in the cloud space since Azure really isn't a mature platform and we are always left wanting when we have to interface with it.
Anonymous | TrustRadius Reviewer

Return on Investment

Hadoop

  • Hadoop has allowed us to scale out a few of our tier-1, customer facing applications to provide very fast access to reports and analytics.
  • Hadoop was easily implemented by our Linux team and onboarded by our Hadoop Admins.
  • Hadoop has been a very stable platform and only goes down due to server patching or other maintenance.
Mark McCully | TrustRadius Reviewer

AWS Elastic Beanstalk

  • till now we had not Calculated ROI as the project is still evolving and we had to keep on changing the environment implementation
  • it meets our purpose of quick deployment as compared to on-premises deployment
  • till now we look good as we also controlled our expenses which increased suddenly in the middle of deployment activity
Sandeep Singh | TrustRadius Reviewer

Pricing Details

Hadoop

General

Free Trial
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Entry-level set up fee?
No

Hadoop Editions & Modules

Additional Pricing Details

AWS Elastic Beanstalk

General

Free Trial
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Entry-level set up fee?
No

AWS Elastic Beanstalk Editions & Modules

Edition
No Charge$01
  1. Users pay for AWS resources (e.g. EC2, S3 buckets, etc.) used to store and run the application.
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Hadoop
8.2
AWS Elastic Beanstalk
8.3

Likelihood to Renew

Hadoop
9.6
AWS Elastic Beanstalk
7.9

Usability

Hadoop
8.5
AWS Elastic Beanstalk
7.6

Performance

Hadoop
8.0
AWS Elastic Beanstalk

Support Rating

Hadoop
6.9
AWS Elastic Beanstalk
7.6

Online Training

Hadoop
6.1
AWS Elastic Beanstalk

Implementation Rating

Hadoop
AWS Elastic Beanstalk
7.0

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