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Atlas-DB

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Atlas-DB vs Doctrine 2: What are the differences?

What is Atlas-DB? Backend for managing dimensional time series data, by Netflix. Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly.

What is Doctrine 2? An object-relational mapper (ORM) for PHP 5.3.2+ that provides transparent persistence for PHP objects. Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.

Atlas-DB can be classified as a tool in the "Database Tools" category, while Doctrine 2 is grouped under "Object Relational Mapper (ORM)".

Atlas-DB is an open source tool with 2.4K GitHub stars and 204 GitHub forks. Here's a link to Atlas-DB's open source repository on GitHub.

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Pros of Atlas-DB
Pros of Doctrine 2
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    • 14
      Great abstraction, easy to use, good docs
    • 10
      Object-Oriented
    • 7
      Easy setup

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    What is Atlas-DB?

    Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly.

    What is Doctrine 2?

    Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.

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    What companies use Atlas-DB?
    What companies use Doctrine 2?
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    What tools integrate with Atlas-DB?
    What tools integrate with Doctrine 2?
      No integrations found

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      What are some alternatives to Atlas-DB and Doctrine 2?
      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.
      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.
      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.
      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.
      See all alternatives