Hadoop vs MongoDB vs MySQL

Hadoop
Hadoop

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3.6K
48
MongoDB
MongoDB

14.6K
2.8K
3.8K
MySQL
MySQL

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5.8K
3.7K

What is Hadoop?

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

What is MongoDB?

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

What is MySQL?

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

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    What companies use Hadoop?
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    What are some alternatives to Hadoop, MongoDB, and MySQL?
    Cassandra
    Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    Splunk
    Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
    HBase
    Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
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    What tools integrate with Hadoop?
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    What tools integrate with MySQL?
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          How developers use Hadoop, MongoDB, and MySQL
          Avatar of Tarun Singh
          Tarun Singh uses MongoDBMongoDB

          Used MongoDB as primary database. It holds trip data of NYC taxis for the year 2013. It is a huge dataset and it's primary feature is geo coordinates with pickup and drop off locations. Also used MongoDB's map reduce to process this large dataset for aggregation. This aggregated result was then used to show visualizations.

          Avatar of Trello
          Trello uses MongoDBMongoDB

          MongoDB fills our more traditional database needs. We knew we wanted Trello to be blisteringly fast. One of the coolest and most performance-obsessed teams we know is our next-door neighbor and sister company StackExchange. Talking to their dev lead David at lunch one day, I learned that even though they use SQL Server for data storage, they actually primarily store a lot of their data in a denormalized format for performance, and normalize only when they need to.

          Avatar of Rajeshkumar T
          Rajeshkumar T uses MySQLMySQL
          • We are used MySQL database to build the Online Food Ordering System

            • Its best support normalization and all joins ( Restaurant details & Ordering, customer management, food menu, order transaction & food delivery).
            • Best for performance and structured the data.
            • Its help to stored the instant updates received from food delivery app ( update the real-time driver GPS location).
          Avatar of Srinivas Adireddi
          Srinivas Adireddi uses MySQLMySQL

          1.It's very popular. Heared about it in Database class 2. The most comprehensive set of advanced features, management tools and technical support to achieve the highest levels of MySQL scalability, security, reliability, and uptime. 3. MySQL is an open-source relational database management system. Its name is a combination of "My", the name of co-founder Michael Widenius's daughter, and "SQL", the abbreviation for Structured Query Language.

          Avatar of Pinterest
          Pinterest uses HadoopHadoop

          The MapReduce workflow starts to process experiment data nightly when data of the previous day is copied over from Kafka. At this time, all the raw log requests are transformed into meaningful experiment results and in-depth analysis. To populate experiment data for the dashboard, we have around 50 jobs running to do all the calculations and transforms of data.

          Avatar of ShadowICT
          ShadowICT uses MySQLMySQL

          We use MySQL and variants thereof to store the data for our projects such as the community. MySQL being a well established product means that support is available whenever it is required along with an extensive list of support articles all over the web for diagnosing issues. Variants are also used where needed when, for example, better performance is needed.

          Avatar of Foursquare
          Foursquare uses MongoDBMongoDB

          Nearly all of our backend storage is on MongoDB. This has also worked out pretty well. It's enabled us to scale up faster/easier than if we had rolled our own solution on top of PostgreSQL (which we were using previously). There have been a few roadbumps along the way, but the team at 10gen has been a big help with thing.

          Avatar of shridhardalavi
          shridhardalavi uses MySQLMySQL

          MySQL is a freely available open source Relational Database Management System (RDBMS) that uses Structured Query Language (SQL). SQL is the most popular language for adding, accessing and managing content in a database. It is most noted for its quick processing, proven reliability, ease and flexibility of use.

          Avatar of John Galbraith
          John Galbraith uses MySQLMySQL

          I am not using this DB for blog posts or data stored on the site. I am using to track IP addresses and fully qualified domain names of attacker machines that either posted spam on my website, pig flooded me, or had more that a certain number of failed SSH attempts.

          Avatar of AngeloR
          AngeloR uses MongoDBMongoDB

          We are testing out MongoDB at the moment. Currently we are only using a small EC2 setup for a delayed job queue backed by agenda. If it works out well we might look to see where it could become a primary document storage engine for us.

          Avatar of Yelp
          Yelp uses HadoopHadoop

          in 2009 we open sourced mrjob, which allows any engineer to write a MapReduce job without contending for resources. We’re only limited by the amount of machines in an Amazon data center (which is an issue we’ve rarely encountered).

          Avatar of Matt Welke
          Matt Welke uses MongoDBMongoDB

          Used for proofs of concept and personal projects with a document data model, especially with need for strong geographic queries. Often not chosen in long term apps due to chance data model can end up relational as needs develop.

          Avatar of Pinterest
          Pinterest uses HadoopHadoop

          The massive volume of discovery data that powers Pinterest and enables people to save Pins, create boards and follow other users, is generated through daily Hadoop jobs...

          Avatar of Robert Brown
          Robert Brown uses HadoopHadoop

          Importing/Exporting data, interpreting results. Possible integration with SAS

          Avatar of Rohith Nandakumar
          Rohith Nandakumar uses HadoopHadoop

          TBD. Good to have I think. Analytics on loads of data, recommendations?

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