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Couchbase
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Couchbase vs HBase: What are the differences?

Developers describe Couchbase as "Document-Oriented NoSQL Database". 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. On the other hand, HBase is detailed as "The Hadoop database, a distributed, scalable, big data store". 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.

Couchbase and HBase can be categorized as "Databases" tools.

"Flexible data model, easy scalability, extremely fast" is the top reason why over 13 developers like Couchbase, while over 7 developers mention "Performance" as the leading cause for choosing HBase.

HBase is an open source tool with 2.91K GitHub stars and 2.01K GitHub forks. Here's a link to HBase's open source repository on GitHub.

Pinterest, HubSpot, and Yammer are some of the popular companies that use HBase, whereas Couchbase is used by RecordSetter, Musixmatch, and Crowdpark. HBase has a broader approval, being mentioned in 54 company stacks & 18 developers stacks; compared to Couchbase, which is listed in 45 company stacks and 21 developer stacks.

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What is 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.

What is 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.
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    What are some alternatives to Couchbase and HBase?
    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.
    CouchDB
    Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.
    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.
    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.
    Oracle
    Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
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    Decisions about Couchbase and HBase
    Gabriel Pa
    Gabriel Pa
    CEO at NaoLogic Inc | 6 upvotes 97.3K views
    atNaologicNaologic
    Memcached
    Memcached
    Couchbase
    Couchbase
    CouchDB
    CouchDB

    We implemented our first large scale EPR application from naologic.com using CouchDB .

    Very fast, replication works great, doesn't consume much RAM, queries are blazing fast but we found a problem: the queries were very hard to write, it took a long time to figure out the API, we had to go and write our own @nodejs library to make it work properly.

    It lost most of its support. Since then, we migrated to Couchbase and the learning curve was steep but all worth it. Memcached indexing out of the box, full text search works great.

    See more
    Interest over time
    Reviews of Couchbase and HBase
    No reviews found
    How developers use Couchbase and HBase
    Avatar of Pinterest
    Pinterest uses HBaseHBase

    The final output is inserted into HBase to serve the experiment dashboard. We also load the output data to Redshift for ad-hoc analysis. For real-time experiment data processing, we use Storm to tail Kafka and process data in real-time and insert metrics into MySQL, so we could identify group allocation problems and send out real-time alerts and metrics.

    Avatar of InsideSales.com
    InsideSales.com uses CouchbaseCouchbase

    We use Couchbase heavily in our PowerStandings platform to enable real-time analytics of agent data, as well as data storage for parts of our new Playbooks product.

    Avatar of opening.io
    opening.io uses CouchbaseCouchbase

    Main data storage. Any writes to Couchbase auto-replicate to Elasticsearch (via XDRC) and from there on propagate into the internal Jezebel pipeline via opes.

    Avatar of Axibase
    Axibase uses HBaseHBase
    • Raw storage engine
    • Replication
    • Fault-tolerance
    Avatar of Dotmetrics
    Dotmetrics uses CouchbaseCouchbase

    Real-time data interaction on 600000+ rpm.

    Avatar of Mehdi TAZI
    Mehdi TAZI uses HBaseHBase

    Range scan and HDFS Buffering system

    Avatar of anerudhbalaji
    anerudhbalaji uses HBaseHBase

    Primary datastore

    How much does Couchbase cost?
    How much does HBase cost?
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