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Graphene

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Oracle PL/SQL

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Graphene vs Oracle PL/SQL: What are the differences?

Developers describe Graphene as "GraphQL framework for Python". Graphene is a Python library for building GraphQL schemas/types fast and easily. On the other hand, Oracle PL/SQL is detailed as "It is a combination of SQL along with the procedural features of programming languages". It is available in Oracle Database, TimesTen in-memory database, and IBM DB2. Oracle Corporation usually extends PL/SQL functionality with each successive release of the Oracle Database.

Graphene and Oracle PL/SQL can be categorized as "Query Languages" tools.

Graphene is an open source tool with 4.83K GitHub stars and 516 GitHub forks. Here's a link to Graphene's open source repository on GitHub.

According to the StackShare community, Graphene has a broader approval, being mentioned in 16 company stacks & 29 developers stacks; compared to Oracle PL/SQL, which is listed in 12 company stacks and 31 developer stacks.

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Pros of Graphene
Pros of Oracle PL/SQL
  • 0
    Will replace RESTful interfaces
  • 0
    The future of API's
  • 2
    Multiple ways to accomplish the same end
  • 2
    Powerful
  • 1
    Not mysql
  • 1
    Massive, continuous investment by Oracle Corp
  • 1
    Extensible to external langiages
  • 1
    Pl/sql

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Cons of Graphene
Cons of Oracle PL/SQL
    Be the first to leave a con
    • 2
      High commercial license cost

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    - No public GitHub repository available -

    What is Graphene?

    Graphene is a Python library for building GraphQL schemas/types fast and easily.

    What is Oracle PL/SQL?

    It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.

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    What companies use Graphene?
    What companies use Oracle PL/SQL?
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    What tools integrate with Graphene?
    What tools integrate with Oracle PL/SQL?

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    What are some alternatives to Graphene and Oracle PL/SQL?
    Graphite
    Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand
    Ethereum
    A decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference.
    JavaScript
    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
    Python
    Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
    Node.js
    Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.
    See all alternatives