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Aerospike
Aerospike

82
72
+ 1
24
Redis
Redis

14.6K
9.7K
+ 1
3.8K
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Aerospike vs Redis: What are the differences?

Aerospike: Flash-optimized in-memory open source NoSQL database. Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees; 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.

Aerospike and Redis belong to "In-Memory Databases" category of the tech stack.

"Ram and/or ssd persistence " is the primary reason why developers consider Aerospike over the competitors, whereas "Performance" was stated as the key factor in picking Redis.

Aerospike and Redis are both open source tools. It seems that Redis with 37.4K GitHub stars and 14.4K forks on GitHub has more adoption than Aerospike with 295 GitHub stars and 54 GitHub forks.

According to the StackShare community, Redis has a broader approval, being mentioned in 3261 company stacks & 1780 developers stacks; compared to Aerospike, which is listed in 30 company stacks and 9 developer stacks.

What is Aerospike?

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

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 Aerospike?
Why do developers choose Redis?

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    What are some alternatives to Aerospike and Redis?
    Riak
    Riak is a distributed database designed to deliver maximum data availability by distributing data across multiple servers. As long as your client can reach one Riak server, it should be able to write data. In most failure scenarios, the data you want to read should be available, although it may not be the most up-to-date version of that data.
    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.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    Tarantool
    It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications
    Couchbase
    Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
    See all alternatives
    Decisions about Aerospike 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.

    See more
    Interest over time
    Reviews of Aerospike 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 Aerospike 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 ShareThis
    ShareThis uses AerospikeAerospike

    Aerospike is used heavily in our real time kafka pipeline. We use it two ways: we harness the fast key-value store lookup and leveraging Aerospikes ACID capabilities through UDFs we could manage updates in real time.

    How much does Aerospike cost?
    How much does Redis cost?
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