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6 Ratings
218 Ratings
6 Ratings
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Score 8.1 out of 101
218 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 8.1 out of 101

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Likelihood to Recommend

Apache Flume

Apache Flume is well suited in small batch and near real time processing projects, taking data from one point to another with local processing (I mean not external enrichment).
Filtering, transforming and multiple push destinations are common grounds for Flume.
It is not so nice to use if your data needs external enrichment (taking data from external databases or web services), as transactions and (micro)batches may lead to reprocessing and it relies upon the application to avoid duplicates.
Juan Francisco Tavira profile photo

Hadoop

Hadoop is best suited for warehouse or OLAP processing. It's not suitable for OLTP or small transaction processing
Bhushan Lakhe profile photo

Pros

  • Multiple sources of data (sources) and destinations (sinks) that allows you to move data form and to any relevant data storage
  • It is very easy to setup and run
  • Very open to personalization, you can create filters, enrichment, new sources and destinations
Juan Francisco Tavira profile photo
  • Highly Scalable Architecture
  • Low cost
  • Can be used in a Cloud Environment
  • Can be run on commodity Hardware
  • Open Source
Vinay Suneja profile photo

Cons

  • Apache Flume develops new functionality at a slower pace than other OpenSource projects, it is well behing Kafka and has some compatibiliy issues with latest releases
  • It lack HA or FT, it relies on third party management software like Hortonworks or Cloudera
Juan Francisco Tavira profile photo
  • Its open source but there are companies like hortonworks, Cloudera etc., which give enterprise support
  • Lots of scripting still needed
  • Some tools in the hadoop eco system overlap
Vinay Suneja profile photo

Likelihood to Renew

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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

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No answers yet
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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

Online Training

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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

Alternatives Considered

Apache Flume is a very good solution when your project is not very complex at transformation and enrichment, and good if you have an external management suite like Cloudera, Hortonworks, etc. But it is not a real EAI or ETL like AB Initio or Attunity so
you need to know exactly what you want.On the other hand being an opensource project give Apache a lot of room to personalize thanks to its plug-able architecture and has a very nice performance having a very low CPU and Memory footprint, a single server can do the job on many occasions, as opposed to the multi-server architecture of paid products.
Juan Francisco Tavira profile photo
Fast and scalable. More reliable as compared to the other products I have used.
Gaurav Kasliwal profile photo

Return on Investment

  • Flume has simplified a lot many of our ingest procedures, easier to deploy and integrate than a classical EAI, reducing the time to market
  • But opposed to EAIs if the project starts to grow in complexity Apache Flume project may not be as suitable
Juan Francisco Tavira profile photo
  • MapReduce jobs run way faster when compared to traditional batch processing jobs resulting in getting better value of data
  • Since Hadoop is free , lots of cost savings
  • Since it is distributed, no fear of data failures
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Pricing Details

Apache Flume

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