Hazelcast

203
273
+ 1
51
Kdb+

3
1
+ 1
0
Add tool

Kdb+ vs Hazelcast: What are the differences?

Kdb+: Fast, powerful, massively scalable time-series database. 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; Hazelcast: Clustering and highly scalable data distribution platform for Java. With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Kdb+ and Hazelcast can be primarily classified as "In-Memory Databases" tools.

Hazelcast is an open source tool with 3.93K GitHub stars and 1.36K GitHub forks. Here's a link to Hazelcast's open source repository on GitHub.

Pros of Hazelcast
Pros of Kdb+
    No pros available

    Sign up to add or upvote prosMake informed product decisions

    Cons of Hazelcast
    Cons of Kdb+
      No cons available

      Sign up to add or upvote consMake informed product decisions

      - No public GitHub repository available -

      What is Hazelcast?

      With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

      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.
      What companies use Hazelcast?
      What companies use Kdb+?

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Hazelcast?
      What tools integrate with Kdb+?
        No integrations found

        Sign up to get full access to all the tool integrationsMake informed product decisions

        What are some alternatives to Hazelcast and Kdb+?
        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.
        Apache Spark
        Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
        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.
        Memcached
        Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
        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
        See all alternatives
        Interest over time
        News about Kdb+
        More news