Software Alternatives, Accelerators & Startups

ArangoDB VS TOML

Compare ArangoDB VS TOML 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.

TOML logo TOML

TOML - Tom's Obvious, Minimal Language
  • ArangoDB Landing page
    Landing page //
    2023-01-20
  • TOML Landing page
    Landing page //
    2023-10-22

ArangoDB features and specs

  • Graph DB

TOML features and specs

  • Human Readable
    TOML is designed to be easy to read and write due to its simplistic syntax, which is intuitive for humans.
  • Explicit Data Types
    TOML supports various data types including integers, floats, strings, dates, and arrays, which helps in expressing configurations precisely.
  • Hierarchical Configuration
    Allows for nested key-value pairs through its table and array of tables structures, providing a clear way to represent hierarchical data.
  • Standardized Specification
    TOML is guided by a well-defined specification which ensures consistency across different implementations.
  • Lightweight
    It is a minimal and straightforward format that doesn’t require much overhead compared to some other configuration formats.

Possible disadvantages of TOML

  • Limited Complex Data Structures
    TOML is not suited for highly complex data structures, which might make it less ideal for certain advanced configurations.
  • Lacks Scalability Features
    With limited support for advanced features such as conditional configuration or dynamic data, it might not scale well for very large configurations.
  • Not as Widely Adopted
    Compared to formats like JSON or YAML, TOML may have less community support and fewer libraries and tools available across various programming environments.
  • No Native Implementation in Some Languages
    Certain programming environments do not offer native TOML parsing support, requiring third-party libraries which might affect performance or security.

ArangoDB videos

ArangoDB and Foxx Framework, deeper dive. WHILT#17

TOML videos

JuliaCon 2019 | Pkg, Project.toml, Manifest.toml and Environments | Fredrik Ekre

More videos:

  • Review - TOML Decoder: The Beginning

Category Popularity

0-100% (relative to ArangoDB and TOML)
Databases
100 100%
0% 0
Configuration Management
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Reviews

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

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).

TOML Reviews

We have no reviews of TOML yet.
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Social recommendations and mentions

Based on our record, TOML should be more popular than ArangoDB. It has been mentiond 11 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)

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TOML mentions (11)

  • Let's meet Black: Python Code Formatting
    Black uses by default the pyproject.toml file. This file contains a section for each different tool we want to use. The use of a configuration file like pyproject.toml is quite a good choice and helps the contributors to use the same tools and configurations you're using. - Source: dev.to / over 1 year ago
  • ML Configuration Management
    Accessing the rest of the relevant variables is based on the various sections in the toml file. For example, referencing the Production Service Account (SA) will be by accessing the SERVICE_ACCOUNT variable which is under the [prd] section. - Source: dev.to / almost 3 years ago
  • Get good Git info from Hugo
    In your project config file, set enableGitInfo to true (here, I’m showing the Hugo default of TOML, although my own config file is actually YAML):. - Source: dev.to / almost 3 years ago
  • json, please...
    For config file use case I cannot recommend enough TOML. Source: about 3 years ago
  • Turn Visual Studio Code Into A Top-Notch JavaScript IDE With These 25 Extensions
    TOML is a configuration file format that aims to be simple and easily readable. The Even Better TOML extension adds full editor support, including syntax highlighting, folding, navigation, and formatting. - Source: dev.to / over 3 years ago
View more

What are some alternatives?

When comparing ArangoDB and TOML, 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.

JSON - (JavaScript Object Notation) is a lightweight data-interchange format

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

YAML - YAML 1.2 --- YAML: YAML Ain't Markup Language

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

Messagepack - An efficient binary serialization format.