Software Alternatives, Accelerators & Startups

IronMQ VS ArangoDB

Compare IronMQ VS ArangoDB and see what are their differences

IronMQ logo IronMQ

IronMQ is the distributed systems together by providing a reliable way to communicate between services and components.

ArangoDB logo ArangoDB

A distributed open-source database with a flexible data model for documents, graphs, and key-values.
  • IronMQ Landing page
    Landing page //
    2021-10-03
  • ArangoDB Landing page
    Landing page //
    2023-01-20

IronMQ features and specs

No features have been listed yet.

ArangoDB features and specs

  • Graph DB: Yes

IronMQ videos

IronMQ, the fastest industrial strength MQ available. Deploy anywhere, including fully On premise.

More videos:

  • Review - IronMQ as a Celery Transport
  • Review - IronWorker and IronMQ: Cron jobs and messaging in the cloud

ArangoDB videos

ArangoDB and Foxx Framework, deeper dive. WHILT#17

Category Popularity

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

User comments

Share your experience with using IronMQ and ArangoDB. For example, how are they different and which one is better?
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Reviews

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

IronMQ Reviews

Are Free, Open-Source Message Queues Right For You?
Iron.io's IronMQ provides a compelling alternative to open-source messaging queues. It is a highly available message queue service built primarily for the cloud. IronMQ can run on any public or private cloud, or on-premise, and offers robust functionality and strong performance. It addresses many of the challenges open-source tools present, offering robust support,...
Source: blog.iron.io

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 seems to be more popular. 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.

IronMQ mentions (0)

We have not tracked any mentions of IronMQ yet. Tracking of IronMQ recommendations started around Mar 2021.

ArangoDB mentions (4)

What are some alternatives?

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

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

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

RabbitMQ - RabbitMQ is an open source message broker software.

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

Azure Logic Apps - Discover the leading Integration Platform as a Service (iPaaS) that enables key enterprise scenarios for developers to build powerful integration solutions quickly.

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