Software Alternatives, Accelerators & Startups

ArangoDB VS code-prettify

Compare ArangoDB VS code-prettify and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

ArangoDB logo ArangoDB

A distributed open-source database with a flexible data model for documents, graphs, and key-values.

code-prettify logo code-prettify

Code Prettify is an embeddable script that makes source-code snippets in HTML prettier.
  • ArangoDB Landing page
    Landing page //
    2023-01-20
  • code-prettify Landing page
    Landing page //
    2023-09-25

ArangoDB features and specs

  • Graph DB

code-prettify features and specs

  • Easy to Integrate
    Code-prettify is simple to integrate into web projects. It uses plain JavaScript and works by adding a single script tag to your HTML, which makes it easy to set up.
  • Language Support
    The library supports a wide range of programming languages out of the box, which makes it versatile for various types of code highlighting without needing additional plugins.
  • Lightweight
    Compared to some other syntax highlighters, code-prettify has a relatively small footprint, which helps in maintaining fast loading times for web pages.
  • Browser Compatibility
    It is compatible with most modern and older browsers, ensuring consistent syntax highlighting across different client environments.

Possible disadvantages of code-prettify

  • Archived Status
    The repository is archived, meaning it is no longer actively maintained by Google. This could pose issues with future compatibility or bug fixes.
  • Customization Limitations
    While it provides a decent level of default styling, customization options are limited compared to some other syntax highlighters that offer more theming flexibility.
  • Lack of Recent Updates
    Being an archived project, it doesn't receive updates or improvements, missing out on newer features or optimizations available in currently maintained libraries.
  • Community Support
    As the project is no longer active, community support may be limited, making it potentially challenging to get help or find resources for troubleshooting issues.

Analysis of ArangoDB

Overall verdict

  • ArangoDB is indeed a good option for those looking for a flexible, feature-rich, and scalable database solution. It caters to modern applications requiring diverse data representations and complex querying capabilities, particularly when graph functionality is vital. However, the right choice depends on specific project requirements and familiarity with ArangoDB’s features and ecosystem.

Why this product is good

  • ArangoDB is a highly versatile database solution known for its multi-model approach, which supports document, key/value, and graph data models. This flexibility allows for complex data structures and enables developers to use the most suitable model for their specific application needs all within a single database. Additionally, ArangoDB offers robust features such as a powerful query language (AQL), scalability, a flexible architecture, and native support for graph analytics, making it suitable for a wide range of use cases.

Recommended for

  • Developers and organizations needing a multi-model database solution
  • Projects requiring complex data analysis, including graph algorithms
  • Applications that can benefit from a flexible, schema-free data structure
  • Teams looking for scalability and horizontal expansion capabilities
  • Environments with diverse data representation needs where maintaining multiple databases is inefficient

ArangoDB videos

ArangoDB and Foxx Framework, deeper dive. WHILT#17

code-prettify videos

No code-prettify videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to ArangoDB and code-prettify)
Databases
100 100%
0% 0
Customer Feedback
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Marketing Tools
0 0%
100% 100

User comments

Share your experience with using ArangoDB and code-prettify. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare ArangoDB and code-prettify

ArangoDB Reviews

9 Best MongoDB alternatives in 2019
ArangoDB is a native multi-model DBMS system. It supports three data models with one database core and a unified query language AQL. Its query language is declarative which helps you to compare different data access patterns by using a single query.
Source: www.guru99.com
Top 15 Free Graph Databases
ArangoDB is a distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions. ArangoDB
ArangoDB vs Neo4j - What you can't do with Neo4j
Scalability needs and ArangoDB ArangoDB is cluster ready for graphs, documents and key/values. ArangoDB is suitable for e.g. recommendation engines, personalization, Knowledge Graphs or other graph-related use cases. ArangoDB provides special features for scale-up (Vertex-centric indices) and scale-out (SmartGraphs).

code-prettify Reviews

We have no reviews of code-prettify yet.
Be the first one to post

Social recommendations and mentions

Based on our record, ArangoDB should be more popular than code-prettify. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ArangoDB mentions (6)

View more

code-prettify mentions (1)

What are some alternatives?

When comparing ArangoDB and code-prettify, you can also consider the following products

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

highlight.js - Highlight.js is a syntax highlighter written in JavaScript. It works in the browser as well as on the server.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Bootstrap Table - Bootstrap Table has been designed to reduce development time and to require no specific knowledge from developers.

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

Asklayer - Get real answers from your customers with Asklayers surveys, quizzes, polls and more. Works on any website with zero code and includes enterprise level features such auto-segmentation, user tagging, branching, NPS & CSAT calculation.