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HBase

502
491
+ 1
15
OrientDB

77
107
+ 1
14
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HBase vs OrientDB: What are the differences?

HBase: 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; OrientDB: An open source NoSQL database management system. It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.

HBase and OrientDB belong to "Databases" category of the tech stack.

HBase is an open source tool with 3K GitHub stars and 2.05K GitHub forks. Here's a link to HBase's open source repository on GitHub.

Pinterest, HubSpot, and hike are some of the popular companies that use HBase, whereas OrientDB is used by Acadar, Bright Power, and GittiGidiyor. HBase has a broader approval, being mentioned in 69 company stacks & 109 developers stacks; compared to OrientDB, which is listed in 10 company stacks and 5 developer stacks.

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Pros of HBase
Pros of OrientDB
  • 9
    Performance
  • 5
    OLTP
  • 1
    Fast Point Queries
  • 4
    Great graphdb
  • 2
    Great support
  • 2
    Open source
  • 1
    Multi-Model/Paradigm
  • 1
    ACID
  • 1
    Highly-available
  • 1
    Performance
  • 1
    Embeddable
  • 1
    Rest api

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Cons of HBase
Cons of OrientDB
    Be the first to leave a con
    • 4
      Unstable

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    - No public GitHub repository available -

    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.

    What is OrientDB?

    It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.

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    What companies use HBase?
    What companies use OrientDB?
    See which teams inside your own company are using HBase or OrientDB.
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    What tools integrate with HBase?
    What tools integrate with OrientDB?
      No integrations found

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      Blog Posts

      Jun 24 2020 at 4:42PM

      Pinterest

      Amazon S3KafkaHBase+4
      4
      1204
      MySQLKafkaApache Spark+6
      2
      1999
      What are some alternatives to HBase and OrientDB?
      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.
      Google Cloud Bigtable
      Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.
      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.
      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.
      Druid
      Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
      See all alternatives