
Redis
MongoDB
OrientDB
neo4j
Apache Cassandra
CouchBase
Azure Cosmos DB
A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Cinnamon Spices
Dracula
A community where developers and artists share applications, themes and other content
Which is more popular?
Based on our record, Pling.com should be more popular than ArangoDB. It has been mentioned 14 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | arangodb.com | pling.com |
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What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
ArangoDB and Foxx Framework, deeper dive. WHILT#17
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using ArangoDB and Pling.com. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


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...
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...
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....
We have no reviews of Pling.com yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


If you like the document db idea there are a lot of choices, especially https://arangodb.com/ which I think gets little attention because people who use it see it as a secret weapon. Too bad about the license though. Also... - Source: Hacker News / about 2 years ago
ArangoDB is a multi-model database that supports document, key-value, and graph data models with a unified query language. - Source: dev.to / about 2 years ago
In modern databases, efficient data serialization and deserialization are paramount to achieving high performance. ArangoDB, a multi-model database, addresses this need with its innovative binary data format, VelocyPack. This article... - Source: dev.to / over 2 years ago
1 go to pling.com 2 type fedora 37 ws 3 go to the post from the linux scoop 4 go to the files tab under the screenshots 5 download said file "Orchis Shell MOD" 6 install with gnome tweaks (make sure you have user themes enabled... Source: over 3 years ago
Do you mean the icons on the panel and desktop if so, they are the candy icons with the sweet dark gtk theme you can find those on https://pling.com. Source: over 3 years ago
I find gnome-look.org aka pling.com really bad for finding gnome shell themes cos you never know if the theme is compatible with your gnome version. Source: almost 4 years ago
When comparing ArangoDB and Pling.com, you can also consider the following products.

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
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Modify your Cinnamon desktop environment and extend its features with Cinnamon Spices. Cinnamon supports the following types of spices: Themes, applets, desklets and extensions.
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MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
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A dark theme for Atom, Alfred, Brackets, Emacs, iTerm, Mintty, Notepad++, Slack, Sequel Pro, Sublime Text, Telegram, Textmate, Terminal.app, Ulysses, Vim, Visual Studio Code, Wox, Xcode, and Zsh
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OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.
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Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
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