Software Alternatives, Accelerators & Startups

CloudAMQP VS ArangoDB

Compare CloudAMQP VS ArangoDB and see what are their differences

CloudAMQP logo CloudAMQP

CloudAMQP automates every part of setup, running and scaling of RabbitMQ clusters. Available on all major cloud and application platforms.

ArangoDB logo ArangoDB

A distributed open-source database with a flexible data model for documents, graphs, and key-values.
  • CloudAMQP Landing page
    Landing page //
    2023-07-04
  • ArangoDB Landing page
    Landing page //
    2023-01-20

CloudAMQP features and specs

No features have been listed yet.

ArangoDB features and specs

  • Graph DB: Yes

CloudAMQP videos

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ArangoDB videos

ArangoDB and Foxx Framework, deeper dive. WHILT#17

Category Popularity

0-100% (relative to CloudAMQP and ArangoDB)
Stream Processing
100 100%
0% 0
Databases
0 0%
100% 100
Data Integration
100 100%
0% 0
NoSQL Databases
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 CloudAMQP and ArangoDB

CloudAMQP Reviews

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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).

Social recommendations and mentions

Based on our record, ArangoDB should be more popular than CloudAMQP. It has been mentiond 4 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.

CloudAMQP mentions (2)

  • Architecture for processing thousands of images upon a single request
    RabbitMQ dude! Spin up a free instance on cloudamqp.com (not affiliated, but I use them in prod - free instances already are enough for many use cases), throw a bunch of consumers in the queue, push as many jobs as you want and you'll have an awesome indestructible working process. Source: about 2 years ago
  • Parcel Tracking Application With RabbitMQ
    We can prefer to install RabbitMQ on our local machine but in that case, the installation steps would be different from the operating system to the operating system and we would need to mess with some network settings. Therefore, we make this step with http://cloudamqp.com. To do that let's create https://cloudamqp.com. Later on, click on the button Create New Instance and create a new message broker instance. We... - Source: dev.to / about 3 years ago

ArangoDB mentions (4)

What are some alternatives?

When comparing CloudAMQP and ArangoDB, you can also consider the following products

RabbitMQ - RabbitMQ is an open source message broker software.

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

ZeroMQ - ZeroMQ is a high-performance asynchronous messaging library.

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

Amazon MQ - Amazon MQ is a managed message broker service for ActiveMQ that makes it easy to set up and operate message brokers in the cloud. Easily migrate messaging.

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