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Aerospike

170
254
+ 1
48
Cassandra

3.3K
3.4K
+ 1
501
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Aerospike vs Cassandra: 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; Cassandra: A partitioned row store. Rows are organized into tables with a required primary key. 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.

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

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

Aerospike and Cassandra are both open source tools. Cassandra with 5.27K GitHub stars and 2.35K forks on GitHub appears to be more popular than Aerospike with 295 GitHub stars and 54 GitHub forks.

Uber Technologies, Facebook, and Spotify are some of the popular companies that use Cassandra, whereas Aerospike is used by JustWatch, Flyclops LLC, and StreetHawk. Cassandra has a broader approval, being mentioned in 342 company stacks & 240 developers stacks; compared to Aerospike, which is listed in 30 company stacks and 9 developer stacks.

Advice on Aerospike and Cassandra
Vinay Mehta
Needs advice
on
CassandraCassandra
and
ScyllaDBScyllaDB

The problem I have is - we need to process & change(update/insert) 55M Data every 2 min and this updated data to be available for Rest API for Filtering / Selection. Response time for Rest API should be less than 1 sec.

The most important factors for me are processing and storing time of 2 min. There need to be 2 views of Data One is for Selection & 2. Changed data.

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Replies (4)
Alex Peake
Recommends
CassandraCassandra

Cassandra is quite capable of the task, in a highly available way, given appropriate scaling of the system. Remember that updates are only inserts, and that efficient retrieval is only by key (which can be a complex key). Talking of keys, make sure that the keys are well distributed.

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Recommends
ScyllaDBScyllaDB

By 55M do you mean 55 million entity changes per 2 minutes? It is relatively high, means almost 460k per second. If I had to choose between Scylla or Cassandra, I would opt for Scylla as it is promising better performance for simple operations. However, maybe it would be worth to consider yet another alternative technology. Take into consideration required consistency, reliability and high availability and you may realize that there are more suitable once. Rest API should not be the main driver, because you can always develop the API yourself, if not supported by given technology.

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Recommends
ScyllaDBScyllaDB

Scylla can handle 1M/s events with a simple data model quite easily. The api to query is CQL, we have REST api but that's for control/monitoring

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Pankaj Soni
Chief Technical Officer at Software Joint · | 2 upvotes · 108.4K views
Recommends
CassandraCassandra

i love syclla for pet projects however it's license which is based on server model is an issue. thus i recommend cassandra

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Pros of Aerospike
Pros of Cassandra
  • 16
    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
  • 116
    Distributed
  • 97
    High performance
  • 81
    High availability
  • 74
    Easy scalability
  • 52
    Replication
  • 26
    Reliable
  • 26
    Multi datacenter deployments
  • 9
    OLTP
  • 9
    Schema optional
  • 8
    Open source
  • 2
    Workload separation (via MDC)
  • 1
    Fast

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Cons of Aerospike
Cons of Cassandra
    Be the first to leave a con
    • 3
      Reliability of replication
    • 1
      Size
    • 1
      Updates

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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 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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    Jobs that mention Aerospike and Cassandra as a desired skillset
    CBRE
    United States of America Texas Richardson
    CBRE
    United States of America Texas Richardson
    CBRE
    United States of America Texas Richardson
    CBRE
    United States of America Texas Richardson
    CBRE
    United States of America Texas Richardson
    LaunchDarkly
    London, England, United Kingdom
    What companies use Aerospike?
    What companies use Cassandra?
    See which teams inside your own company are using Aerospike or Cassandra.
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    What tools integrate with Aerospike?
    What tools integrate with Cassandra?

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    What are some alternatives to Aerospike and Cassandra?
    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.
    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
    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.
    See all alternatives