Software Alternatives, Accelerators & Startups

ArangoDB VS Spark Framework

Compare ArangoDB VS Spark Framework 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.

Spark Framework logo Spark Framework

Spark Framework is a simple and lightweight Java web framework built for rapid development.
  • ArangoDB Landing page
    Landing page //
    2023-01-20
  • Spark Framework Landing page
    Landing page //
    2019-11-24

ArangoDB features and specs

  • Graph DB

Spark Framework features and specs

  • Ease of Use
    Spark Framework provides a simple and intuitive API, making it easy to set up and run a web application with minimal configuration.
  • Lightweight
    Spark is very lightweight, which makes it well-suited for small applications and microservices where resource consumption is a concern.
  • Java 8 Lambda Support
    It supports Java 8 lambdas, allowing developers to write clean, readable, and more concise code.
  • Rapid Development
    The framework facilitates rapid development and prototyping, enabling developers to quickly build and iterate on ideas.
  • Minimal Configuration
    With less boilerplate code required, Spark allows developers to focus on business logic rather than intricate configurations.

Possible disadvantages of Spark Framework

  • Limited Ecosystem
    Compared to more established frameworks, Spark has a smaller ecosystem of plugins and extensions, which might limit functionality for larger projects.
  • Performance Overhead
    While suitable for small applications, the simplicity of Spark might introduce performance overhead when scaling up to larger, complex applications.
  • Concurrency Limitations
    Its concurrency model may not be robust enough for high-concurrency applications, potentially leading to scalability issues.
  • Less Community Support
    Spark's smaller user base means that community support and resources such as tutorials and forums are more limited compared to larger frameworks.
  • Basic Feature Set
    The framework offers a basic feature set, which may require additional coding or third-party libraries to achieve advanced functionalities.

ArangoDB videos

ArangoDB and Foxx Framework, deeper dive. WHILT#17

Spark Framework videos

No Spark Framework videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to ArangoDB and Spark Framework)
Databases
100 100%
0% 0
Web Frameworks
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 Spark Framework

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).

Spark Framework Reviews

17 Popular Java Frameworks for 2023: Pros, cons, and more
You can get the Spark Framework up and running in just a few minutes. By default, it runs on the Jetty web server that is embedded into the framework. However, you can use it with other Java web servers as well. According to Spark’s own survey, more than 50% of their users used the framework to create REST APIs, which is its most popular use case. Spark also powers...
Source: raygun.com

Social recommendations and mentions

Based on our record, Spark Framework should be more popular than ArangoDB. It has been mentiond 29 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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Spark Framework mentions (29)

  • Indexing All of Wikipedia on a Laptop
    The code for serving queries is found in the WebSearch class. We’re using Spark (the web framework, not the big data engine) to serve a simple search form:. - Source: dev.to / 11 months ago
  • [ Servlet + JSP + JDBC ]
    Get a solid grasp of building web applications with Java either using Spring (using Spring Boot) or Spark (if you're also new to Java learning Java and Spring can be a mouthful). Instead of JSP use something Thymeleaf or build the frontend with HTML and JavaScript (and serve the bundles). Source: over 1 year ago
  • What's the language of the startup?
    So most of the "tech" stack goes out. In our first startup we created our own web-container by using https://sparkjava.com - and then built a JSR-223 scripting support. Source: over 1 year ago
  • What side-projects did you work on during your university years?
    Stack: Java, Spark (not the Apache Spark but this), Kafka, several other libraries like FasterXML's Jackson. Source: almost 2 years ago
  • Full Time
    The blog is just hugo so it's 100% static files over nginx. The search engine is serverside-rendered mustache templates via handlebars[1], via served via spark[2]. It's basically all vanilla Java. I do raw SQL queries instead of ORM, which makes it quite a bit snappier than most Java applications. The sheer size of the database also mandates that basically every query is a primary key lookup. The code is written... - Source: Hacker News / almost 2 years ago
View more

What are some alternatives?

When comparing ArangoDB and Spark Framework, 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.

Javalin - Simple REST APIs for Java and Kotlin

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

vert.x - From Wikipedia, the free encyclopedia

OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.

Micronaut Framework - Build modular easily testable microservice & serverless apps