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Aerospike

141
190
+ 1
28
Apache Ignite

67
107
+ 1
19
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Aerospike vs Apache Ignite: 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; Apache Ignite: *An open-source distributed database, caching and processing platform *. It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale.

Aerospike and Apache Ignite can be primarily classified as "In-Memory Databases" tools.

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, Apache Ignite provides the following key features:

  • Memory-Centric Storage
  • Distributed SQL
  • Distributed Key-Value

Aerospike and Apache Ignite are both open source tools. It seems that Apache Ignite with 2.67K GitHub stars and 1.3K forks on GitHub has more adoption than Aerospike with 307 GitHub stars and 57 GitHub forks.

According to the StackShare community, Aerospike has a broader approval, being mentioned in 38 company stacks & 36 developers stacks; compared to Apache Ignite, which is listed in 4 company stacks and 4 developer stacks.

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Pros of Aerospike
Pros of Apache Ignite
  • 10
    Ram and/or ssd persistence
  • 9
    Easy clustering support
  • 4
    Easy setup
  • 2
    Acid
  • 1
    Scale
  • 1
    Petabyte Scale
  • 1
    Performance better than Redis
  • 3
    Written in java. runs on jvm
  • 3
    Free
  • 2
    Load balancing
  • 2
    High Avaliability
  • 2
    Rest interface
  • 2
    Sql query support in cluster wide
  • 1
    Multiple client language support
  • 1
    Better Documentation
  • 1
    Distributed compute
  • 1
    Distributed Locking
  • 1
    Easy to use

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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 Apache Ignite?

It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale

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What companies use Aerospike?
What companies use Apache Ignite?
See which teams inside your own company are using Aerospike or Apache Ignite.
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What tools integrate with Aerospike?
What tools integrate with Apache Ignite?
What are some alternatives to Aerospike and Apache Ignite?
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.
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
How developers use Aerospike and Apache Ignite
ShareThis uses
Aerospike

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.