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  5. OData vs Vulcain

OData vs Vulcain

OverviewComparisonAlternatives

Overview

OData
OData
Stacks61
Followers139
Votes35
Vulcain
Vulcain
Stacks2
Followers6
Votes0
GitHub Stars3.6K
Forks106

OData vs Vulcain: What are the differences?

Introduction

OData and Vulcain are two web protocols that serve distinct purposes in the realm of data exchange. Here, we explore the key differences between OData and Vulcain.

  1. Data Model: One of the fundamental differences between OData and Vulcain is their approach to data modeling. OData follows the Entity Data Model (EDM) specification, which enables the creation and manipulation of data entities through various CRUD operations. On the other hand, Vulcain employs a more lightweight data model, focusing on optimizing data transmission for enhanced performance.

  2. Response Format: Another key distinction lies in the response format used by OData and Vulcain. OData endpoints typically return data in JSON or XML format, providing flexibility in consuming data across different platforms. In contrast, Vulcain utilizes a binary serialization format that significantly reduces the size of responses, resulting in faster data transmission.

  3. Caching Mechanism: When it comes to caching, OData and Vulcain adopt different strategies. OData relies on standard HTTP caching mechanisms such as ETag and Last-Modified headers to optimize data retrieval and reduce server load. In contrast, Vulcain leverages a custom caching system that allows clients to efficiently fetch only the data that has been updated since their last request.

  4. Request Handling: OData and Vulcain also differ in their approach to handling client requests. OData typically processes requests in a synchronous manner, waiting for each operation to be completed before responding. Conversely, Vulcain introduces the concept of multiplexing, where multiple requests can be combined and executed concurrently, resulting in improved latency and efficiency.

  5. Schema Evolution: In terms of evolving schemas, OData and Vulcain exhibit contrasting behaviors. OData follows a strict versioning approach, requiring clients to adapt to changes in the data model through new version releases. On the other hand, Vulcain offers a more flexible schema evolution mechanism, enabling clients to seamlessly handle changes in the data structure without the need for versioning.

In Summary, OData and Vulcain differ in their data modeling approach, response format, caching mechanism, request handling, and schema evolution, catering to distinct requirements in the realm of data exchange.

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Detailed Comparison

OData
OData
Vulcain
Vulcain

It is an ISO/IEC approved, OASIS standard that defines a set of best practices for building and consuming RESTful APIs. It helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query options, etc.

It is a brand new protocol using HTTP/2 Server Push to create fast and idiomatic client-driven REST APIs. An open source gateway server which you can put on top of any existing web API.

OData RESTful APIs are easy to consume; ISO/IEC approved
Create fast and idiomatic client-driven REST APIs; Supports hypermedia APIs
Statistics
GitHub Stars
-
GitHub Stars
3.6K
GitHub Forks
-
GitHub Forks
106
Stacks
61
Stacks
2
Followers
139
Followers
6
Votes
35
Votes
0
Pros & Cons
Pros
  • 7
    Patterns for paging, sorting, filtering
  • 5
    ISO Standard
  • 4
    Query Language
  • 3
    RESTful
  • 3
    No overfetching, no underfetching
Cons
  • 1
    Overwhelming, no "baby steps" documentation
No community feedback yet
Integrations
Python
Python
C++
C++
JavaScript
JavaScript
Visual Studio Code
Visual Studio Code
.NET
.NET
Java
Java
JavaScript
JavaScript
Windows
Windows
macOS
macOS
JSON API
JSON API

What are some alternatives to OData, Vulcain?

GraphQL

GraphQL

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

Prisma

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

PostGraphile

PostGraphile

Execute one command (or mount one Node.js middleware) and get an instant high-performance GraphQL API for your PostgreSQL database

Oracle PL/SQL

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.

SQL

SQL

SQL is designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).

Graphene

Graphene

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

JSON API

JSON API

It is most widely used data format for data interchange on the web. This data interchange can happen between two computers applications at different geographical locations or running within same hardware machine.

graphql.js

graphql.js

Lightest GraphQL client with intelligent features. You can download graphql.js directly, or you can use Bower or NPM.

JsonAPI

JsonAPI

t is a format that works with HTTP. A main goal of the specification is to optimize HTTP requests both in terms of the number of requests and the size of data packages exchanged between clients and servers.

GraphQL Ruby

GraphQL Ruby

Get going fast with the graphql gem, battle-tested and trusted by GitHub and Shopify.

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