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Aerospike

201
287
+ 1
48
Kdb+

15
17
+ 1
0
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Aerospike vs Kdb+: What are the differences?

  1. Data Model: Aerospike is a NoSQL database that uses a key-value data model, while Kdb+ is a high-performance database that utilizes a columnar data model specifically designed for time-series data.

  2. Query Language: Aerospike supports its own query language called Aerospike Query Language (AQL), which is SQL-like, whereas Kdb+ uses its proprietary query language called q that is optimized for handling time-series and financial data efficiently.

  3. Vertical Scalability: Aerospike can scale vertically by adding more resources to a single machine, allowing for increased performance, while Kdb+ is specifically designed for horizontal scalability across multiple machines for handling extensive datasets.

  4. Use Cases: Aerospike is commonly used for real-time big data applications, like ad tech, whereas Kdb+ is widely utilized in the financial industry due to its high-speed data retrieval capabilities for time-series data analysis.

  5. ACID Compliance: Aerospike is ACID (Atomicity, Consistency, Isolation, Durability) compliant, ensuring data integrity, while Kdb+ focuses more on speed and performance rather than strict ACID compliance.

  6. Community Support: Aerospike has a larger community support with more extensive documentation and resources available, whereas Kdb+ has a smaller but dedicated community mainly focused on financial and time-series data analysis.

In Summary, key differences between Aerospike and Kdb+ include their data models, query languages, scalability options, use cases, ACID compliance, and community support.

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Pros of Aerospike
Pros of Kdb+
  • 16
    Ram and/or ssd persistence
  • 12
    Easy clustering support
  • 5
    Easy setup
  • 4
    Acid
  • 3
    Petabyte Scale
  • 3
    Scale
  • 3
    Performance better than Redis
  • 2
    Ease of 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 Kdb+?

    It is a column-based relational time-series database with in-memory abilities. The database is commonly used in high-frequency trading to store, analyze, process, and retrieve large data sets at high speed. kdb+ has the ability to handle billions of records and analyzes data within a database.

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    Jobs that mention Aerospike and Kdb+ as a desired skillset
    LaunchDarkly
    Oakland, California, United States
    What companies use Aerospike?
    What companies use Kdb+?
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    What tools integrate with Aerospike?
    What tools integrate with Kdb+?
      No integrations found
      What are some alternatives to Aerospike and Kdb+?
      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
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