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Clickhouse

388
517
+ 1
78
IBM DB2

243
247
+ 1
19
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Clickhouse vs IBM DB2: What are the differences?

What is Clickhouse? A column-oriented database management system. It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.

What is IBM DB2? A family of database server products developed by IBM. DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.

Clickhouse and IBM DB2 belong to "Databases" category of the tech stack.

ITAIPU BINACIONAL, XMLi5 Ltd., and 3scale are some of the popular companies that use IBM DB2, whereas Clickhouse is used by Findify, AppsFlyer, and STORETAIL. IBM DB2 has a broader approval, being mentioned in 16 company stacks & 49 developers stacks; compared to Clickhouse, which is listed in 22 company stacks and 11 developer stacks.

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Pros of Clickhouse
Pros of IBM DB2
  • 19
    Fast, very very fast
  • 11
    Good compression ratio
  • 6
    Horizontally scalable
  • 5
    Great CLI
  • 5
    Utilizes all CPU resources
  • 5
    RESTful
  • 4
    Buggy
  • 4
    Open-source
  • 4
    Great number of SQL functions
  • 3
    Server crashes its normal :(
  • 3
    Has no transactions
  • 2
    Flexible connection options
  • 2
    Highly available
  • 2
    ODBC
  • 2
    Flexible compression options
  • 1
    In IDEA data import via HTTP interface not working
  • 7
    Rock solid and very scalable
  • 5
    BLU Analytics is amazingly fast
  • 2
    Native XML support
  • 2
    Secure by default
  • 2
    Easy
  • 1
    Best performance

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Cons of Clickhouse
Cons of IBM DB2
  • 5
    Slow insert operations
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    What is Clickhouse?

    It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.

    What is IBM DB2?

    DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.

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    What companies use Clickhouse?
    What companies use IBM DB2?
    See which teams inside your own company are using Clickhouse or IBM DB2.
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    What tools integrate with Clickhouse?
    What tools integrate with IBM DB2?

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    What are some alternatives to Clickhouse and IBM DB2?
    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).
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    InfluxDB
    InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
    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.
    See all alternatives