What users are saying about
32 Ratings
267 Ratings
32 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 8.6 out of 100
267 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 8.5 out of 100

Attribute Ratings

  • Apache Hadoop is rated higher in 1 area: Likelihood to Recommend

Likelihood to Recommend

8.0

Apache Camel

80%
9 Ratings
8.3

Hadoop

83%
37 Ratings

Likelihood to Renew

Apache Camel

N/A
0 Ratings
9.6

Hadoop

96%
8 Ratings

Usability

Apache Camel

N/A
0 Ratings
8.5

Hadoop

85%
5 Ratings

Performance

Apache Camel

N/A
0 Ratings
8.0

Hadoop

80%
2 Ratings

Support Rating

Apache Camel

N/A
0 Ratings
7.4

Hadoop

74%
6 Ratings

Online Training

Apache Camel

N/A
0 Ratings
6.1

Hadoop

61%
2 Ratings

Likelihood to Recommend

Apache Camel

Message brokering across different systems, with transactionality and the ability to have fine tuned control over what happens using Java (or other languages), instead of a heavy, proprietary languages.One situation that it doesn't fit very well (as far as I have experienced) is when your workflow requires significant data mapping. While possible when using Java tooling, some other visual data mapping tools in other integration frameworks are easier to work with.
Anonymous | TrustRadius Reviewer

Hadoop

Altogether, I want to say that Apache Hadoop is well-suited to a larger and unstructured data flow like an aggregation of web traffic or even advertising. I think Apache Hadoop is great when you literally have petabytes of data that need to be stored and processed on an ongoing basis. Also, I would recommend that the software should be supplemented with a faster and interactive database for a better querying service. Lastly, it's very cost-effective so it is good to give it a shot before coming to any conclusion.
Peter Suter | TrustRadius Reviewer

Pros

Apache Camel

  • Camel has an easy learning curve. It is fairly well documented and there are about 5-6 books on Camel.
  • There is a large user group and blogs devoted to all things Camel and the developers of Camel provide quick answers and have also been very quick to patch Camel, when bugs are reported.
  • Camel integrates well with well known frameworks like Spring, and other middleware products like Apache Karaf and Servicemix.
  • There are over 150 components for the Camel framework that help integrate with diverse software platforms.
  • Camel is also good for creating microservices.
Surjit Sen | TrustRadius Reviewer

Hadoop

  • Handles large amounts of unstructured data well, for business level purposes
  • Is a good catchall because of this design, i.e. what does not fit into our vertical tables fits here.
  • Decent for large ETL pipelines and logging free-for-alls because of this, also.
Joe Hughes | TrustRadius Reviewer

Cons

Apache Camel

  • Open source solution relies on community for support
  • Lacks graphical user interface for message routing and transformation definitions
  • Relatively steep learning curve
Anonymous | TrustRadius Reviewer

Hadoop

  • Less organizational support system. Bugs need to be fixed and outside help take a long time to push updates
  • Not for small data sets
  • Data security needs to be ramped up
  • Failure in NameNode has no replication which takes a lot of time to recover
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

Pricing Details

Apache Camel

General

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

Starting Price

Hadoop

General

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

Starting Price

Likelihood to Renew

Apache Camel

No score
No answers yet
No answers on this topic

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

Usability

Apache Camel

No score
No answers yet
No answers on this topic

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

Support Rating

Apache Camel

No score
No answers yet
No answers on this topic

Hadoop

Hadoop 7.4
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

Online Training

Apache Camel

No score
No answers yet
No answers on this topic

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

Alternatives Considered

Apache Camel

We chose Apache Camel because it was lightweight, easy to get started with and because it had a groovy DSL since we were a grails shop when we started using it.
Akmal Muqeeth | TrustRadius Reviewer

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

Return on Investment

Apache Camel

  • huge cost saving and quick turn around in terms of extracting data from files and integrating them to our processes
  • ease the work with java objects
  • modernizing our API services
  • ease of using it with Apache's TomCat server
Anonymous | TrustRadius Reviewer

Hadoop

  • There are many advantages of Hadoop as first it has made the management and processing of extremely colossal data very easy and has simplified the lives of so many people including me.
  • Hadoop is quite interesting due to its new and improved features plus innovative functions.
Chantel Moreno | TrustRadius Reviewer

Add comparison