What users are saying about

Amazon Web Services<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>Customer Verified: Read more.</a>

309 Ratings

Hadoop<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>Customer Verified: Read more.</a>

210 Ratings

Amazon Web Services<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>Customer Verified: Read more.</a>

309 Ratings
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Score 8.8 out of 101

Hadoop<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>Customer Verified: Read more.</a>

210 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 8 out of 101

Add comparison

Likelihood to Recommend

Amazon Web Services

  • The AWS forums are well monitored and very helpful - go there first if you get stuck and you'll get long, detailed answers from AWS representatives who will follow the conversation and come back for follow-up questions.
  • AWS is tight-lipped about roadmaps until your bill reaches a certain size (for us, 2 years ago, it was at about $50K/mo that we started getting access to the people who really knew what was going on.)
Marc Schriftman profile photo

Hadoop

Hadoop is well suited for healthcare organizations that deal with huge amounts of data and optimizing data.
No photo available

Feature Rating Comparison

Infrastructure-as-a-Service (IaaS)

Amazon Web Services
8.4
Hadoop
Service-level Agreement (SLA) uptime
Amazon Web Services
8.7
Hadoop
Dynamic scaling
Amazon Web Services
8.9
Hadoop
Elastic load balancing
Amazon Web Services
9.0
Hadoop
Pre-configured templates
Amazon Web Services
7.7
Hadoop
Monitoring tools
Amazon Web Services
7.9
Hadoop
Pre-defined machine images
Amazon Web Services
7.9
Hadoop
Operating system support
Amazon Web Services
8.5
Hadoop
Security controls
Amazon Web Services
8.2
Hadoop

Pros

  • AWS constantly innovates and iterates, announcing new features several times per year. Earlier this year, for example, they introduced provisioned IOPS for EBS, suddenly providing us with an inexpensive solution to a performance quandary we'd been facing.
  • AWS has provided us with access to the product owners and architects of the products we use most. In turn, those resources provided us with visibility into the product road maps. This enabled us to improve our long-term infrastructure planning, and avoid expensive features that we'd get for free later in the year.
  • AWS peremptorily lowers costs a couple of times per year. This has helped us keep our bill reasonable even as we consume more and more of the AWS services. We periodically compare the cost of AWS to the cost of moving into our colo, and every year the colo looks less and less attractive.
Marc Schriftman profile photo
  • Hadoop is an excellent framework for building distributed, fault tolerant data processing systems which leverage HDFS which is optimized for low latency storage and high throughput performance.
  • Hadoop Map reduce is a powerful programming model and can be leveraged directly either via use of Java programming language or by data flow languages like Apache Pig.
  • Hadoop has a reach eco system of companion tools which enable easy integration for ingesting large amounts of data efficiently from various sources. For example Apache Flume can act as data bus which can use HDFS as a sink and integrates effectively with disparate data sources.
  • Hadoop can also be leveraged to build complex data processing and machine learning workflows, due to availability of Apache Mahout, which uses the map reduce model of Hadoop to run complex algorithms.
Mrugen Deshmukh profile photo

Cons

  • Occasionally, we disagree with their roadmap priorities. For example, we really needed Content-Based Routing added to ELB to support our multitenant implementation. The AWS architects agreed that it was a mainstream, valuable request and hinted that they were trying to get it onto the roadmap, but 15 months later there's still no sign of it. I'm sure they have their reasons, but it's a strange and annoying hole in an otherwise invaluable service.
  • AWS has had well-publicized outages that have broken the promise of true zone (datacenter) isolation. This was supposed to have been impossible - if you had instances running in two zones within a region, you thought had a solid survivability story. We were forced to react by building out additional redundancy that increased costs beyond our original design estimates. AWS claims to have resolved the problem, but we haven't been confident enough to spin down the extra servers yet.
  • There are annoying resource limits, presumably in place to prevent hackers from allocating huge numbers of resources on a compromised account. The problem is that raising the resource limits requires manual action to be taken, and can have a severe impact on production software if your ops team isn't meticulous in checking the limits. As of the last time I checked, these limits weren't available via API, making it impossible to create alarms whenever we get close to exceeding our resource limits.
  • AWS is relatively infamous for their poor communications during outages. Their status page will occasionally go without an update for 45 minutes, while half your customers are dead in the water. This is - obviously - infuriating.
Marc Schriftman profile photo
  • Compatibility with Windows Systems
  • Security needs more focus
  • Hadoop lack in real time processing
Kartik Chavan profile photo

Likelihood to Renew

Amazon Web Services9.4
Based on 10 answers
This is the only hosting solution I am using and I am not gonna look for any other because I am used to it and it meets my requirements: easy to use without compromising on control I have over my infrastructure. Also, I do live variety of AWS services.
Andrew Tabit profile photo
Hadoop9.6
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 Services9.0
Based on 3 answers
Easy to use/learning curve. If you are new to the use of cloud storage, AWS is your entry point. If you have experience in that field, AWS is the way to go.
Miguel Angel Merino Vega profile photo
Hadoop9.0
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 Services9.0
Based on 1 answer
Availability is very good, with the exception of occasional spectacular outages.
No photo available
No score
No answers yet
No answers on this topic

Performance

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
Hadoop8.0
Based on 1 answer
No answer on this topic is available.

Support

Amazon Web Services3.0
Based on 3 answers
unless you paid the premium, no support at all
No photo available
Hadoop6.0
Based on 1 answer
No answer on this topic is available.

Online Training

Amazon Web Services7.0
Based on 1 answer
No answer on this topic is available.
Hadoop6.1
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 Services10.0
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
No score
No answers yet
No answers on this topic

Alternatives Considered

The particular services I am using in AWS is easier to set up and manage than Microsoft Azure. IBM Bluemix/Cloud previously has too many product beta and preview released along with their products. Microsoft also releases too many products in preview or beta.
No photo available
  • For real-time streaming, use Spark; can provide a stark contrast to the way MR works
  • Hadoop offers a scalable, cost-effective and highly available solution for big data storage and processing.
  • Amazon Redshift is somewhat closer to Hadoop. But to analyze Petabytes of data Hadoop as better performance.
  • Hadoop is being open source, is cheaper to use and do POCs for client
Kartik Chavan profile photo

Collaboration and Sharing

No score
No answers yet
No answers on this topic
Hadoop7.7
Based on 10 answers
  • Access control measures: Apache Sentry provides fine grained role based authorization to data and metadata stored on a Hadoop clusters.Distributed scheduling and coordination of jobs via use of YARN and Apache Oozie.Availability of improved reporting and dashboards for Hadoop via use of vendor driven distributions like
  • Distributed scheduling and coordination of jobs via use of YARN and Apache Oozie.
  • Availability of improved reporting and dashboards for Hadoop via use of vendor driven distributions like Cloudier CDH.
Mrugen Deshmukh profile photo

Data Integration

No score
No answers yet
No answers on this topic
Hadoop8.7
Based on 10 answers
  • Ease of merging data is a major reason for Hadoop's success, with a growing number of tools available for easy ingestion of data from disparate sources, some examples are Apache Flume and Apache Kafka.
  • Many major database vendors are now providing tools and plugins to pull data from the database into Hadoop for offline processing.
Mrugen Deshmukh profile photo

Return on Investment

  • Profitability: We've a team of very hands-on engineers and what they would need to build what we now get from AWS, would not have had the level of profitability we get with AWS. At first, our inhouse team really wanted this work inhouse. Now, they're very grateful it's not. Billing is always accurate and automated with full justification in every report. We can plan our growth far more accurately.
  • Flexibility: We can onboard new customers in an instant. We can give greater service levels to our current customers, just as quickly and dynamically too, if their needs change.
  • Ease of use: seriously, one or two phone calls is pretty much all we've ever had to make when our needs change and it's been that easy for the last 4 or 5 years now.
Jackie Bassett profile photo
  • Positive impact as this is the future. Abundance of tools
  • Return on Investment is high, as Big Data helps make better decisions
  • Hadoop has made it possible to implement projects that require large amounts of data from a diverse set of source systems.
Kartik Chavan profile photo

Pricing Details

Amazon Web Services

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

Hadoop

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