Cassandra
Cassandra

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Hadoop

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Cassandra vs Hadoop: What are the differences?

What is Cassandra? A partitioned row store. Rows are organized into tables with a required primary key. 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.

What is Hadoop? Open-source software for reliable, scalable, distributed computing. 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.

Cassandra and Hadoop can be categorized as "Databases" tools.

"Distributed" is the primary reason why developers consider Cassandra over the competitors, whereas "Great ecosystem" was stated as the key factor in picking Hadoop.

Cassandra and Hadoop are both open source tools. Hadoop with 9.26K GitHub stars and 5.78K forks on GitHub appears to be more popular than Cassandra with 5.27K GitHub stars and 2.35K GitHub forks.

According to the StackShare community, Cassandra has a broader approval, being mentioned in 342 company stacks & 239 developers stacks; compared to Hadoop, which is listed in 237 company stacks and 127 developer stacks.

What is 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.

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.

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    What are some alternatives to Cassandra and Hadoop?
    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.
    Redis
    Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
    Couchbase
    Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
    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.
    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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    Decisions about Cassandra and Hadoop
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    How developers use Cassandra and Hadoop
    Avatar of Soundcloud
    Soundcloud uses CassandraCassandra

    Stitch is a wrapper around a Cassandra database. It has a web application that provides read-access to the counts through an HTTP API. The counts are written to Cassandra in two distinct ways, and it's possible to use either or both of them:

    • Real-time: For real-time updates, Stitch has a processor application that handles a stream of events coming from a broker and increments the appropriate counts in Cassandra.

    • Batch: The batch part is a MapReduce job running on Hadoop that reads event logs, calculates the overall totals, and bulk loads this into Cassandra.

    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 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 Vital Labs, Inc.
    Vital Labs, Inc. uses CassandraCassandra

    Cassandra is our data management workhorse. It handles all our key-value services, supports time-series data storage and retrieval, securely stores all our audit trails, and backs our Datomic database.

    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 SocialCops
    SocialCops uses CassandraCassandra

    While we experimented with Cassandra in the past, we are no longer using it. It is, however, open for consideration in future projects.

    Avatar of ShareThis
    ShareThis uses CassandraCassandra

    We are using Cassandra in a few of our apps. One of them is as a count service application to track the number of shares, clicks.. etc

    Avatar of Kaiko
    Kaiko uses CassandraCassandra
    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?

    How much does Cassandra cost?
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