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DataStax Enterprise

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HBase

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Datastax Enterprise vs HBase: What are the differences?

Developers describe Datastax Enterprise as "A Cloud Database Built on Apache Cassandra™". It delivers a wide range of cloud data management, deployment and development capabilities. For mixed models and complex workloads you can choose the Advanced Workloads option with it to utilize DSE Graph, DSE Search, DSE Analytics, and more. 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.

Datastax Enterprise and HBase 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.

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    What is DataStax Enterprise?

    Scale-out NoSQL for any workload Built on Apache Cassandra™, DataStax Enterprise adds NoSQL workloads including search, graph, and analytics, with operational reliability hardened by the largest internet apps and the Fortune 100.

    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 companies use DataStax Enterprise?
    What companies use HBase?
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    What tools integrate with DataStax Enterprise?
    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 DataStax Enterprise and HBase?
    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.
    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.
    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.
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
    See all alternatives