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EdgeDB

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56
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EdgeDB vs Hadoop: What are the differences?

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

What is Hadoop? Open-source software for reliable, scalable, distributed computing. 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.

EdgeDB and Hadoop belong to "Databases" category of the tech stack.

EdgeDB and Hadoop are both open source tools. It seems that Hadoop with 9.27K GitHub stars and 5.78K forks on GitHub has more adoption than EdgeDB with 3.01K GitHub stars and 64 GitHub forks.

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Pros of EdgeDB
Pros of Hadoop
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      Great ecosystem
    • 11
      One stack to rule them all
    • 4
      Great load balancer
    • 1
      Amazon aws
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      Java syntax

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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 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.

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    What companies use EdgeDB?
    What companies use Hadoop?
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    What tools integrate with EdgeDB?
    What tools integrate with Hadoop?

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    What are some alternatives to EdgeDB and Hadoop?
    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