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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Hadoop

    Score7.9 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

    PostgreSQL

    Score8.2 out of 10
    N/APostgreSQL (alternately Postgres) is a free and open source object-relational database system boasting over 30 years of active development, reliability, feature robustness, and performance. It supports SQL and is designed to support various workloads flexibly.N/A
    Pricing
    HadoopPostgreSQL
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    HadoopPostgreSQL
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    HadoopPostgreSQL
    Considered Both Products
    Apache
    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
    PostgreSQL Global Development Group
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    7 Answers
    100%
    Would buy again
    26 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    7 Answers
    100%
    Delivers good value for the price
    26 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    7 Answers
    100%
    Happy with the feature set
    26 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    6 Answers
    100%
    Lived up to sales and marketing promises
    23 Answers
    Implementation went as expected
    80%
    Implementation went as expected
    4 Answers
    100%
    Implementation went as expected
    26 Answers
    Best Alternatives
    HadoopPostgreSQL
    Small Businesses
    No answers on this topic
    MariaDB Platform
    Score9.9 out of 10
    Medium-sized Companies
    Cloudera Manager
    Score9.9 out of 10
    MySQL
    Score8 out of 10
    Enterprises
    Apache Spark
    Score9.2 out of 10
    SQLite
    Score9.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    HadoopPostgreSQL
    Likelihood to Recommend
    8.0
    (37 ratings)
    8.0
    (54 ratings)
    Likelihood to Renew
    9.6
    (8 ratings)
    9.0
    (1 ratings)
    Usability
    8.0
    (6 ratings)
    8.0
    (7 ratings)
    Availability
    -
    (0 ratings)
    9.0
    (1 ratings)
    Performance
    8.0
    (1 ratings)
    7.0
    (1 ratings)
    Support Rating
    7.5
    (3 ratings)
    9.3
    (7 ratings)
    Online Training
    6.1
    (2 ratings)
    -
    (0 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.0
    (1 ratings)
    Data Sharing and Collaboration
    7.7
    (10 ratings)
    -
    (0 ratings)
    Data Sources
    8.7
    (10 ratings)
    -
    (0 ratings)
    Product Scalability
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    HadoopPostgreSQL
    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
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    PostgreSQL Global Development Group
    PostgreSQL, unlike other databases, is user-friendly and uses an open-source database. Ideal for relational databases, they can be accessed when speed and efficiency are required. It enables high-availability and disaster recovery replication from instance to instance. PostgreSQL can store data in a JSON format, including hashes, keys, and values. Multi-platform compatibility is also a big selling point. We could, however, use all the DBMS’s cores. While it works well in fast environments, it can be problematic in slower ones or cause multiple master replication.
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    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
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    PostgreSQL Global Development Group
    • The stability it offers, its speed of response and its resource management is excellent even in complex database environments and with low-resource machines.
    • The large amount of resources it has in addition to the many own and third-party tools that are compatible that make productivity greatly increase.
    • The adaptability in various environments, whether distributed or not, [is a] complete set of configuration options which allows to greatly customize the work configuration according to the needs that are required.
    • The excellent handling of referential and transactional integrity, its internal security scheme, the ease with which we can create backups are some of the strengths that can be mentioned.
    Incentivized
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    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
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    PostgreSQL Global Development Group
    • The query syntax for JSON fields is unwieldy when you start getting into complex queries with many joins.
    • I wish there was a distinction (a flag) you could set for automated scripts vs working in the psql CLI, which would provide an 'Are you sure you want to do X?' type prompt if your query is likely to affect more than a certain number of rows. Especially on updates/deletes. Setting the flag in the headless(scripted) flow would disable the prompt.
    • Better documentation around JSON and Array aggregation, with more examples of how the data is transformed.
    Incentivized
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    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
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    PostgreSQL Global Development Group
    As a needed software for day to day development activities
    Incentivized
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    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
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    PostgreSQL Global Development Group
    Postgresql is the best tool out there for relational data so I have to give it a high rating when it comes to analytics, data availability and consistency, so on and so forth. SQL is also a relatively consistent language so when it comes to building new tables and loading data in from the OLTP database, there are enough tools where we can perform ETL on a scalable basis.
    Incentivized
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    Reliability and Availability
    Apache
    No answers on this topic
    PostgreSQL Global Development Group
    PostgreSQL's availability is top notch. Apart from connection time-out for an idle user, the database is super reliable.
    Incentivized
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    Performance
    Apache
    No answers on this topic
    PostgreSQL Global Development Group
    The data queries are relatively quick for a small to medium sized table. With complex joins, and a wide and deep table however, the performance of the query has room for improvement.
    Incentivized
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    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
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    PostgreSQL Global Development Group
    There are several companies that you can contract for technical support, like EnterpriseDB or Percona, both first level in expertise and commitment to the software.
    But we do not have contracts with them, we have done all the way from googling to forums, and never have a problem that we cannot resolve or pass around. And for dozens of projects and more than 15 years now.
    Incentivized
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    Online Training
    Apache
    Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
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    PostgreSQL Global Development Group
    The online training is request based. Had there been recorded videos available online for potential users to benefit from, I could have rated it higher. The online documentation however is very helpful. The online documentation PDF is downloadable and allows users to pace their own learning. With examples and code snippets, the documentation is great starting point.
    Incentivized
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    Implementation Rating
    Apache
    No answers on this topic
    PostgreSQL Global Development Group
    The online documentation of the PostgreSQL product is elaborate and takes users step by step.
    Incentivized
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    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
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    PostgreSQL Global Development Group
    Postgres stacks up just [fine] along the other big players in the RDBMS world. It's very popular for a reason. It's very close to MySQL in terms of cost and features - I'd pick either solution and be just as happy. Compared to Oracle it is a MUCH cheaper solution that is just as usable.
    Incentivized
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    Scalability
    Apache
    No answers on this topic
    PostgreSQL Global Development Group
    The DB is reliable, scalable, easy to use and resolves most DB needs
    Incentivized
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    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
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    PostgreSQL Global Development Group
    • The user-role system has saved us tons of time and thus money. As I mentioned in the "Use Case" section, Postgres is not only used by engineering but also finance to measure how much to charge customers and customer support to debug customer issues. Sure, it's not easy for non-technical employees to psql in and view raw tables, but it has saved engineering hundreds of man-hours that would have had to be spent on building equivalent tools to serve finance or customer support.
    • It provides incredibly trustworthy storage for wherever customer data dumped in. In our 6 years of Postgres existence, we have not lost a byte of customer data due to Postgres messing up a transaction or during the multiple times the hard-drives failed (thanks to ACID compliance!).
    • This is less significant, but Postgres is also quite easy to manage (unless you are going above and beyond to squeeze out every last bit of performance). There's not much to configure, and the out of the box settings are quite sane. That has saved us engineers lots of time that would have gone into Postgres administration.
    Incentivized
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