What users are saying about
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Top Rated
403 Ratings
235 Ratings

Amazon Web Services

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Top Rated
403 Ratings
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Score 8.9 out of 101
235 Ratings
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Score 8.3 out of 101

Likelihood to Recommend

Amazon Web Services

Each and every feature of this application is unique and is also efficient enough to help me to make suitable decisions for my company. Apart from this, if I talk about any concerns in it or any disastrous drawbacks then there are no words because this application is a lifesaver by every point of view without having anything to objectify. Moreover, this application provides me with the right of pre-built services, which benefit me when building custom cloud-based solutions.
Martha Batruny profile photo

Hadoop

  • Less appropriate for small data sets
  • Works well for scenarios with bulk amount of data. They can surely go for Hadoop file system, having offline applications
  • It's not an instant querying software like SQL; so if your application can wait on the crunching of data, then use it
  • Not for real-time applications
Bharadwaj (Brad) Chivukula profile photo

Feature Rating Comparison

Infrastructure-as-a-Service (IaaS)

Amazon Web Services
9.0
Hadoop
Service-level Agreement (SLA) uptime
Amazon Web Services
9.3
Hadoop
Dynamic scaling
Amazon Web Services
9.4
Hadoop
Elastic load balancing
Amazon Web Services
9.2
Hadoop
Pre-configured templates
Amazon Web Services
8.2
Hadoop
Monitoring tools
Amazon Web Services
8.4
Hadoop
Pre-defined machine images
Amazon Web Services
8.9
Hadoop
Operating system support
Amazon Web Services
9.0
Hadoop
Security controls
Amazon Web Services
9.2
Hadoop

Pros

Amazon Web Services

  • AWS (Amazon Web Services) is not the easiest virtual service to set up but once you get the hang of it, it's fairly easy to install new instances (servers) and stop them. This is good for multiple reasons e.g we run multiple tests and live production servers for our different services. When we are done with one we can easily turn it off. The cost of the specifications on our virtual servers is only a fraction of the cost of what we would get locally or even on most traditional web services companies.
  • Amazon Web Services can be relatively cost efficient depending on where you are coming from. For our smaller organization, we felt the cost was worth it as other alternatives were not as affordable. The good thing with AWS is you only pay for what you use. If you want S3 (Simple Storage Service), you can pay for that. If you want to run a compute engine, EC2 can be paid for. At the end of the month, you get one bill based on your usage.
  • Because of our size as a company, AWS was easier to deploy compared to local dedicated solutions. All we had to do was take our development team through a simple 2-day course to get them on board. The ease of deployment means that we do not have to hire a specialist to deploy servers for us.
Nathan Sichilongo profile photo

Hadoop

  • Hadoop is a very cost effective storage solution for businesses’ exploding data sets.
  • Hadoop can store and distribute very large data sets across hundreds of servers that operate, therefore it is a highly scalable storage platform.
  • Hadoop can process terabytes of data in minutes and faster as compared to other data processors.
  • Hadoop File System can store all types of data, structured and unstructured, in nodes across many servers
No photo available

Cons

Amazon Web Services

  • Better user support would be nice. It seems hard to find help when you need something specific from an Amazon employee.
  • Even though the prices are set up for enterprise they do seem high for small to mid level businesses, compared to other alternatives.
  • It would be nice to be able to have some type of DB security built in to the EC2s or as a default.
No photo available

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 profile photo

Likelihood to Renew

Amazon Web Services

Amazon Web Services 9.4
Based on 10 answers
We are almost entirely satisfied with the service. In order to move off it, we'd have to build for ourselves many of the services that AWS provides and the cost would be prohibitive. Although there are cost savings and security benefits to returning to the colo facility, we could never afford to do it, and we'd hate to give up the innovation and constant cycle of new features that AWS gives us.
Marc Schriftman profile photo

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 profile photo

Usability

Amazon Web Services

Amazon Web Services 7.3
Based on 5 answers
We find it quite easy to use. The only challenge is at the outset figuring out exactly what you need, given the large number of available services and options which could take a bit of time to get familiarised with and to decide on.
No photo available

Hadoop

Hadoop 9.0
Based on 3 answers
I found it really useful during my academic projects. Data handling for large data sets was easy with Hadoop. It used to work really fast for bigger data sets. I found it reliable.
Tushar Kulkarni profile photo

Reliability and Availability

Amazon Web Services

Amazon Web Services 9.0
Based on 1 answer
Availability is very good, with the exception of occasional spectacular outages.
No photo available

Hadoop

No score
No answers yet
No answers on this topic

Performance

Amazon Web Services

No score
No answers yet
AWS does not provide the raw performance that you can get by building your own custom infrastructure. However, it is often the case that the benefits of specialized, high-performance hardware do not necessarily outweigh the significant extra cost and risk. Performance as perceived by the user is very different from raw throughput.
No photo available

Hadoop

Hadoop 8.0
Based on 1 answer
No answer on this topic is available.

Support

Amazon Web Services

Amazon Web Services 8.5
Based on 14 answers
Amazon Web Services supported multiple times during initial infrastructure setup and helped to fix cluster related issues many times. Cloudformation to bring up infrastructure. Triggers like S3 file creation to automatically invoke lambda can automate big data jobs and makes operation on Big data easy.
Devendra Parhate profile photo

Hadoop

Hadoop 6.0
Based on 2 answers
Hadoop support is just average based on our experience. This is one area where it would be nice to see some improvement. Granted, we haven't had many issues with Hadoop that have required support.
Mark McCully profile photo

Online Training

Amazon Web Services

Amazon Web Services 7.0
Based on 1 answer
No answer on this topic is available.

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 profile photo

Implementation

Amazon Web Services

Amazon Web Services 10.0
Based on 3 answers
The API's were very well documented and was Janova's main point of entry into the services.
Brian Lusenhop profile photo

Hadoop

No score
No answers yet
No answers on this topic

Alternatives Considered

Amazon Web Services

The maturity of AWS platform with integrations of large third-party vendors products through AWS marketplace and continuous launch of new services every year bring confidence to the users and also the ease of use and help from the large community when compared to other platform are the key primary reasons when deciding AWS.
No photo available

Hadoop

We considered using Relationship database with Oracle Database and Java applications to process our data but ended up with Hadoop despite it being almost new. However, it proved to be the correct solution, we just need a little time to get started with Hadoop and it allows it to save cost on license and EC2 cost as we configure DataNode to be on-demand or spot instance, it also provides high performance and easy to implement as Map-Reduce function is quite simple.
Hung Vu profile photo

Return on Investment

Amazon Web Services

  • We are able to test new ideas quickly using AWS hosting.
  • We are able to move from conceptual POC to fully hosted/architected cloud solution in minimal time.
  • We are able to build solutions that are 100% cloud as well as cloud-hybrid that orchestrate between our datacenters and the AWS cloud.
No photo available

Hadoop

  • Hadoop was thought to be cheap, but it is actually a very expensive proposition.
  • Support is required for Hadoop, so it is not free from a support perspective.
  • The overall benefit of Hadoop is extensive scale out storage and processing, but it is difficult to tie it to ROI in a major corporation.
No photo available

Pricing Details

Amazon Web Services

General

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

Hadoop

General

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

Rating Summary

Likelihood to Recommend

Amazon Web Services
9.3
Hadoop
8.5

Likelihood to Renew

Amazon Web Services
9.4
Hadoop
9.6

Usability

Amazon Web Services
7.3
Hadoop
9.0

Reliability and Availability

Amazon Web Services
9.0
Hadoop

Performance

Amazon Web Services
Hadoop
8.0

Support

Amazon Web Services
8.5
Hadoop
6.0

Online Training

Amazon Web Services
7.0
Hadoop
6.1

Implementation

Amazon Web Services
10.0
Hadoop

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