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Aerospike

165
247
+ 1
47
RocksDB

102
254
+ 1
11
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Aerospike vs RocksDB: What are the differences?

Developers describe Aerospike as "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. On the other hand, RocksDB is detailed as "Embeddable persistent key-value store for fast storage, developed and maintained by Facebook Database Engineering Team". RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.

Aerospike belongs to "In-Memory Databases" category of the tech stack, while RocksDB can be primarily classified under "Databases".

Some of the features offered by Aerospike are:

  • 99% of reads/writes complete in under 1 millisecond.
  • Predictable low latency at high throughput – second to none. Read the YCSB Benchmark.
  • The secret sauce? A thousand things done right. Server code in ‘C’ (not Java or Erlang) precisely tuned to avoid context switching and memory copies. Highly parallelized multi-threaded, multi-core, multi-cpu, multi-SSD execution.

On the other hand, RocksDB provides the following key features:

  • Designed for application servers wanting to store up to a few terabytes of data on locally attached Flash drives or in RAM
  • Optimized for storing small to medium size key-values on fast storage -- flash devices or in-memory
  • Scales linearly with number of CPUs so that it works well on ARM processors

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

Aerospike and RocksDB are both open source tools. RocksDB with 14.1K GitHub stars and 3.09K forks on GitHub appears to be more popular than Aerospike with 282 GitHub stars and 52 GitHub forks.

According to the StackShare community, Aerospike has a broader approval, being mentioned in 30 company stacks & 9 developers stacks; compared to RocksDB, which is listed in 6 company stacks and 7 developer stacks.

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Pros of Aerospike
Pros of RocksDB
  • 15
    Ram and/or ssd persistence
  • 12
    Easy clustering support
  • 5
    Easy setup
  • 4
    Acid
  • 3
    Scale
  • 3
    Performance better than Redis
  • 3
    Petabyte Scale
  • 2
    Ease of use
  • 5
    Very fast
  • 3
    Made by Facebook
  • 2
    Consistent performance
  • 1
    Ability to add logic to the database layer where needed

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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 RocksDB?

RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.

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Blog Posts

Jan 26 2022 at 4:34AM

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What are some alternatives to Aerospike and RocksDB?
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
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
See all alternatives