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Aerospike

145
199
+ 1
36
Druid

303
642
+ 1
29
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Aerospike vs Druid: 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; Druid: Fast column-oriented distributed data store. Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

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

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

Aerospike and Druid are both open source tools. It seems that Druid with 8.32K GitHub stars and 2.08K forks on GitHub has more adoption than Aerospike with 296 GitHub stars and 55 GitHub forks.

According to the StackShare community, Aerospike has a broader approval, being mentioned in 30 company stacks & 9 developers stacks; compared to Druid, which is listed in 24 company stacks and 12 developer stacks.

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Pros of Aerospike
Pros of Druid
  • 11
    Ram and/or ssd persistence
  • 10
    Easy clustering support
  • 5
    Easy setup
  • 3
    Acid
  • 2
    Performance better than Redis
  • 2
    Petabyte Scale
  • 2
    Scale
  • 1
    Ease of use
  • 14
    Real Time Aggregations
  • 5
    Batch and Real-Time Ingestion
  • 4
    OLAP
  • 3
    OLAP + OLTP
  • 2
    Combining stream and historical analytics
  • 1
    OLTP

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Cons of Aerospike
Cons of Druid
    Be the first to leave a con
    • 3
      Limited sql support
    • 2
      Joins are not supported well
    • 1
      Complexity

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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 Druid?

    Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

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    What companies use Aerospike?
    What companies use Druid?
    See which teams inside your own company are using Aerospike or Druid.
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    What tools integrate with Aerospike?
    What tools integrate with Druid?

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    What are some alternatives to Aerospike and Druid?
    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