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Azure Cosmos DB

454
855
+ 1
129
HBase

361
418
+ 1
15
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Azure Cosmos DB vs HBase: What are the differences?

Developers describe Azure Cosmos DB as "A fully-managed, globally distributed NoSQL database service". Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development. 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.

Azure Cosmos DB belongs to "NoSQL Database as a Service" category of the tech stack, while HBase can be primarily classified under "Databases".

"Best-of-breed NoSQL features" is the top reason why over 13 developers like Azure Cosmos DB, 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.

According to the StackShare community, HBase has a broader approval, being mentioned in 54 company stacks & 18 developers stacks; compared to Azure Cosmos DB, which is listed in 24 company stacks and 24 developer stacks.

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Pros of Azure Cosmos DB
Pros of HBase
  • 27
    Best-of-breed NoSQL features
  • 21
    High scalability
  • 15
    Globally distributed
  • 14
    Automatic indexing over flexible json data model
  • 10
    Tunable consistency
  • 10
    Always on with 99.99% availability sla
  • 7
    Javascript language integrated transactions and queries
  • 6
    Predictable performance
  • 5
    High performance
  • 5
    Analytics Store
  • 2
    Ease of use
  • 2
    No Sql
  • 2
    Rapid Development
  • 2
    Auto Indexing
  • 9
    Performance
  • 5
    OLTP
  • 1
    Fast Point Queries

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Cons of Azure Cosmos DB
Cons of HBase
  • 15
    Pricing
  • 4
    Poor No SQL query support
    Be the first to leave a con

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    - No public GitHub repository available -

    What is Azure Cosmos DB?

    Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.

    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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Azure Cosmos DB?
    What companies use HBase?
    See which teams inside your own company are using Azure Cosmos DB or HBase.
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    What tools integrate with Azure Cosmos DB?
    What tools integrate with HBase?

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    Blog Posts

    Jun 24 2020 at 4:42PM

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    What are some alternatives to Azure Cosmos DB and HBase?
    Azure SQL Database
    It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.
    MongoDB Atlas
    MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud.
    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.
    Neo4j
    Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
    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.
    See all alternatives