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ArangoDB
ArangoDB

112
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Redis

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ArangoDB vs Redis: What are the differences?

ArangoDB: A distributed open-source database with a flexible data model for documents, graphs, and key-values. 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; Redis: An in-memory database that persists on disk. Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.

ArangoDB and Redis are primarily classified as "Databases" and "In-Memory Databases" tools respectively.

"Grahps and documents in one DB" is the primary reason why developers consider ArangoDB over the competitors, whereas "Performance" was stated as the key factor in picking Redis.

ArangoDB and Redis are both open source tools. It seems that Redis with 37.1K GitHub stars and 14.3K forks on GitHub has more adoption than ArangoDB with 8.14K GitHub stars and 575 GitHub forks.

reddit, Instacart, and Slack are some of the popular companies that use Redis, whereas ArangoDB is used by AresRPG, Stepsize, and Brainhub. Redis has a broader approval, being mentioned in 3239 company stacks & 1732 developers stacks; compared to ArangoDB, which is listed in 11 company stacks and 13 developer stacks.

What is ArangoDB?

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.

What is Redis?

Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
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Why do developers choose ArangoDB?
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What are some alternatives to ArangoDB and Redis?
Neo4j
Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
OrientDB
It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
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Decisions about ArangoDB and Redis
Django
Django
Redis
Redis

I use Redis because, based on the case studies I have reviewed, it appears to be the most performant cache database for my Django projects. The ease of configuration and deployment is also a big plus.

Using both higher level view caching as well as low-level QuerySet caching with Redis has allowed me to improve HTTP request times by an order of magnitude.

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Interest over time
Reviews of ArangoDB and Redis
Review ofRedisRedis

Redis is a good caching tool for a cluster, but our application had performance issues while using Aws Elasticache Redis since some page had 3000 cache hits per a page load and Redis just couldn't quickly process them all in once + latency and object deseialization time - page load took 8-9 seconds. We create a custom hybrid caching based on Redis and EhCache which worked great for our goals. Check it out on github, it's called HybriCache - https://github.com/batir-akhmerov/hybricache.

How developers use ArangoDB and Redis
Avatar of Cloudcraft
Cloudcraft uses RedisRedis

Redis is used for storing all ephemeral (that's data you don't necessarily want to store permanently) user data, such as mapping of session IDs (stored in cookies) to current session variables at Cloudcraft.co. The many datastructures supported by Redis also makes it an excellent caching and realtime statistics layer. It doesn't hurt that the author, Antirez, is the nicest guy ever! These days, I would be really hard pressed to find any situation where I would pick something like Memcached over Redis.

Avatar of Trello
Trello uses RedisRedis

Trello uses Redis for ephemeral data that needs to be shared between server processes but not persisted to disk. Things like the activity level of a session or a temporary OpenID key are stored in Redis, and the application is built to recover gracefully if any of these (or all of them) are lost. We run with allkeys-lru enabled and about five times as much space as its actual working set needs, so Redis automatically discards data that hasn’t been accessed lately, and reconstructs it when necessary.

Avatar of Stack Exchange
Stack Exchange uses RedisRedis

The UI has message inbox that is sent a message when you get a new badge, receive a message, significant event, etc. Done using WebSockets and is powered by redis. Redis has 2 slaves, SQL has 2 replicas, tag engine has 3 nodes, elastic has 3 nodes - any other service has high availability as well (and exists in both data centers).

Avatar of Brandon Adams
Brandon Adams uses RedisRedis

Redis makes certain operations very easy. When I need a high-availability store, I typically look elsewhere, but for rapid development with the ability to land on your feet in prod, Redis is great. The available data types make it easy to build non-trivial indexes that would require complex queries in postgres.

Avatar of Kent Steiner
Kent Steiner uses RedisRedis

I use Redis for cacheing, data storage, mining and augmentation, proprietary distributed event system for disparate apps and services to talk to each other, and more. Redis has some very useful native data types for tracking, slicing and dicing information.

Avatar of King's Digital Lab
King's Digital Lab uses ArangoDBArangoDB

Multi-model DB: document (JSON), graph, key-value

TO BE EVALUATED

Avatar of Stefan Gojan
Stefan Gojan uses ArangoDBArangoDB

Persist user actions and information in documents

Avatar of Minyoung Kim
Minyoung Kim uses ArangoDBArangoDB

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