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EdgeDB

17
52
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HBase

463
497
+ 1
15
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EdgeDB vs HBase: What are the differences?

Developers describe EdgeDB as "The Next Generation Object-Relational Database". An object-relational database that stores and describes the data as strongly typed objects and relationships between them. 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.

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

EdgeDB and HBase are both open source tools. EdgeDB with 3.01K GitHub stars and 64 forks on GitHub appears to be more popular than HBase with 2.91K GitHub stars and 2.01K GitHub forks.

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    What is EdgeDB?

    An object-relational database that stores and describes the data as strongly typed objects and relationships between them.

    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 EdgeDB?
    What companies use HBase?
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    What tools integrate with EdgeDB?
    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 EdgeDB and HBase?
    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.
    Amazon S3
    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
    See all alternatives