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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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
    Hadoop
    Editions & Modules
    No answers on this topic
    Offerings
    Pricing Offerings
    Hadoop
    Free Trial
    No
    Free/Freemium Version
    Yes
    Premium Consulting/Integration Services
    No
    Entry-level Setup FeeNo setup fee
    Additional Details—
    More Pricing Information
    Community Pulse
    Hadoop
    Considered Both Products
    Apache
    Chose Hadoop
    It’s open source nature
    it’s community support
    its being configurable
    Incentivized
    Chose Hadoop
    Different departments of my organization have been getting the benefit from Apache Hadoop as it serves the purpose of saving lives when large amounts of data is unable to be converted and processed in a timely manner from a node or a simple computer. Hadoop also has an easier …
    Incentivized
    Chose Hadoop
    I feel that this is a highly reliable and scalable solution computing technology that is highly capable of processing large data sets across multiple servers and thousands of machines in a well-defined and distributed manner. Apache Hadoop can automatically scale up the number …
    Incentivized
    Chose Hadoop
    Spark is a good alternative to Hadoop that can have faster querying and processing performance and can offer more flexibility in terms of applications that it can support.

    Google BigQuery has also been a great alternative and is especially great in terms of ease of use. The …
    Incentivized
    Chose Hadoop
    MariaDB - Better to be already in the cloud you will use it for. Issues have improved as it has matured over the year.s
    CockroachDB - Not nearly as performant (even out of the box) as Apache Hadoop. More configurations required just to make it work. In memory cacheing is an issue.
    Incentivized
    Chose Hadoop
    Hadoop utilizes a SQL structure, which is great. You pay less for the services, but it's definitely less of an enterprise-level option and more just a good place to store your seldom-used data. Teradata and AWS are a lot faster in returning queries than Hadoop, but you pay …
    Incentivized
    Chose Hadoop
    Hands down, Hadoop is less expensive than the other platforms we considered. Cloudera was easier to set up but the expense ruled it out. MS-SQL didn't have the performance we saw with the Hadoop clusters and was more expensive. We considered MS-SQL mainly for its ability …
    Incentivized
    Chose Hadoop
    When comparing to the sophistication of IBM GPFS (Spectrum Scale) to Hadoop, it is clear that Spectrum Scale is a much better choice. That is maybe something you don't want to hear, but in all of our research, this has been the final decision of the client.
    Incentivized
    Chose Hadoop
    Apache Spark can be considered as an alternative because of its similar capabilities around processing and storing big data. The reason we went with Hadoop was the literature available online and integration capability with platforms like R Studio. The popularity of Hadoop has …
    Incentivized
    Chose Hadoop
    • 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 …
    Incentivized
    Chose Hadoop
    • For real-time streaming, use Spark; can provide a stark contrast to the way MR works
    • Use Hive for querying purposes
    Incentivized
    Chose Hadoop
    Hadoop offers a scalable, cost-effective and highly available solution for big data storage and processing. The use of a non-proprietary physical layer greatly reduces dependency on technology. It also offers elastic dimensioning capability when deployed on virtual machines or …
    Incentivized
    Chose Hadoop
    I haven't worked with other Big Data aggregation services like Hadoop. As far as I know, Hadoop is the leading choice in this field with good cause. There is a lot of community support, custom modules, paid consultants, free and paid training. All this makes it an ideal choice …
    Incentivized
    Chose Hadoop
    No SQL database were evaluated along with MPP platform. Hadoop performs very well compared to the other platforms. Also since lot of investment goes into Hadoop there is a good chance of getting what one needs from the developer community.
    Incentivized
    Chose Hadoop
    Amazon Redshift is some what closer to Hadoop. But to analyze Petabytes of data Hadoop as better performance.
    Incentivized
    Chose Hadoop
    As I am new to the hadoop ecosystem I have not used or evaluated any other similar products at this time. This was handed to me from a previous much older installation that was very under utilized. Our new platform will be working the new cluster much harder with jobs that run …
    Incentivized
    Chose Hadoop
    Hadoop was a cheaper alternative to Amazon. Since I had to pay for every minute I use with Amazon, I had to make sure multiple times that the code was good enough before I purchased with Amazon. But since Hadoop was available on the cluster, I had the opportunity to code on the …
    Incentivized
    Chose Hadoop
    Hadoop being open source, is cheaper to use and do POCs for clients. Cloudera, Hortonworks and MapR also compete to contribute to open source Hadoop and keep their product conceptually similar to Hadoop.
    Incentivized
    Chose Hadoop
    Apache Spark has an in memory processing model, making it powerful for lightning fast data processing. Apache Spark also exposes Scala and Python in APIs which is one of the most commonly used programming languages in data analytic and data processing domains.
    Incentivized
    Chose 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 …
    Incentivized
    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
    Chose Hadoop
    Hadoop has a master slave architecture and comes with more features than Splunk.
    Incentivized
    Chose Hadoop
    Fast and scalable. More reliable as compared to the other products I have used.
    Incentivized
    Chose Hadoop
    Processing of big data has been the ultimate need for the me choosing Hadoop. Big data is massive and messy, and it’s coming at you uncontrolled. Data are gathered to be analyzed to discover patterns and correlations that could not be initially apparent, but might be useful in …
    Incentivized
    Chose Hadoop
    Hadoop solves lot of problems (involving unstructured data and huge volumes of data ) better than traditional database systems . And it is completely free and open source ( so lots of cost savings ). Data analysis is very fast when compared to old systems, resulting in more …
    Key User Insights
    Would buy again
    100%
    Would buy again
    7 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    7 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    7 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    6 Answers
    Implementation went as expected
    80%
    Implementation went as expected
    4 Answers
    Best Alternatives
    Hadoop
    Small Businesses
    No answers on this topic
    Medium-sized Companies
    Cloudera Manager (no longer available standalone)
    Score9.9 out of 10
    Enterprises
    Amazon EMR
    Score9.1 out of 10
    All AlternativesView all alternatives
    User Ratings
    Hadoop
    Likelihood to Recommend
    8.0
    (37 ratings)
    Likelihood to Renew
    9.6
    (8 ratings)
    Usability
    8.0
    (6 ratings)
    Performance
    8.0
    (1 ratings)
    Support Rating
    7.5
    (3 ratings)
    Online Training
    6.1
    (2 ratings)
    Data Sharing and Collaboration
    7.7
    (10 ratings)
    Data Sources
    8.7
    (10 ratings)
    User Testimonials
    Hadoop
    Likelihood to Recommend
    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
    Read full review
    Pros
    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
    Read full review
    Cons
    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
    Read full review
    Likelihood to Renew
    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
    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
    Read full review
    Support Rating
    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
    Read full review
    Online Training
    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
    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
    Read full review
    Return on Investment
    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
    Read full review
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