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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Apache Flume

    Score7.1 out of 10
    N/AApache Flume is a product enabling the flow of logs and other data into a Hadoop environment.N/A

    Hadoop

    Score7.5 out of 10
    N/AHadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.N/A
    Pricing
    Apache FlumeHadoop
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Apache FlumeHadoop
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    Apache FlumeHadoop
    Considered Both Products
    Apache
    No answer on this topic
    Apache
    Chose Hadoop
    Hadoop provides storage for large data sets and a powerful processing model to crunch and transform huge amounts of data. It does not assume the underlying hardware or infrastructure and enables the users to build data processing infrastructure from commodity hardware. All the …
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    7 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    7 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    7 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    6 Answers
    Implementation went as expected
    No answers on this topic
    80%
    Implementation went as expected
    4 Answers
    Best Alternatives
    Apache FlumeHadoop
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    Cloudera Manager
    Score9.9 out of 10
    Cloudera Manager
    Score9.9 out of 10
    Enterprises
    Apache Spark
    Score8.9 out of 10
    Apache Spark
    Score8.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Apache FlumeHadoop
    Likelihood to Recommend
    8.0
    (2 ratings)
    8.0
    (37 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.6
    (8 ratings)
    Usability
    -
    (0 ratings)
    8.0
    (6 ratings)
    Performance
    -
    (0 ratings)
    8.0
    (1 ratings)
    Support Rating
    5.0
    (1 ratings)
    7.5
    (3 ratings)
    Online Training
    -
    (0 ratings)
    6.1
    (2 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    7.7
    (10 ratings)
    Data Sources
    -
    (0 ratings)
    8.7
    (10 ratings)
    User Testimonials
    Apache FlumeHadoop
    Likelihood to Recommend
    Apache
    Apache Flume is well suited when the use case is log data ingestion and aggregate only, for example for compliance of configuration management. It is not well suited where you need a general-purpose real-time data ingestion pipeline that can receive log data and other forms of data streams (eg IoT, messages).
    Incentivized
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    Apache
    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.
    Incentivized
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    Pros
    Apache
    • 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
    Incentivized
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    Apache
    • 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.
    Incentivized
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    Cons
    Apache
    • It is very specific for log data ingestion so it is pretty hard to use for anything else besides log data
    • Data replication is not built in and needs to be added on top of Apache Flume (not a hard job to do though)
    Incentivized
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    Apache
    • 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
    Incentivized
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    Likelihood to Renew
    Apache
    No answers on this topic
    Apache
    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
    Read full review
    Usability
    Apache
    No answers on this topic
    Apache
    As Hadoop enterprise licensed version is quite fine tuned and easy to use makes it good choice for Hadoop administrators. It’s scalability and integration with Kerberos is good option for authentication and authorisation. installation can be improved. logging can be improved so that it become easier for debugging purposes. parallel processing of data is achieved easily.
    Incentivized
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    Support Rating
    Apache
    Apache Flume is open-source so support is limited. Never the less, it has great documentation and best practices documents from their end-users so it is not hard to use, setup and configure.
    Incentivized
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    Apache
    It's a great value for what you pay, and most Data Base Administrators (DBAs) can walk in and use it without substantial training. I tend to dabble on the analyst side, so querying the data I need feels like it can take forever, especially on higher traffic days like Monday.
    Incentivized
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    Online Training
    Apache
    No answers on this topic
    Apache
    Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
    Read full review
    Alternatives Considered
    Apache
    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.
    Incentivized
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    Apache
    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.
    Incentivized
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    Return on Investment
    Apache
    • 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
    Incentivized
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    Apache
    • 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.
    Incentivized
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