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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Clickhouse vs KairosDB

Clickhouse vs KairosDB

OverviewComparisonAlternatives

Overview

KairosDB
KairosDB
Stacks16
Followers44
Votes5
GitHub Stars1.8K
Forks345
Clickhouse
Clickhouse
Stacks431
Followers543
Votes85

Clickhouse vs KairosDB: What are the differences?

Developers describe Clickhouse as "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. On the other hand, KairosDB is detailed as "Fast Time Series Database on Cassandra". KairosDB is a fast distributed scalable time series database written on top of Cassandra.

Clickhouse and KairosDB can be primarily classified as "Databases" tools.

KairosDB is an open source tool with 1.46K GitHub stars and 302 GitHub forks. Here's a link to KairosDB's open source repository on GitHub.

According to the StackShare community, Clickhouse has a broader approval, being mentioned in 22 company stacks & 11 developers stacks; compared to KairosDB, which is listed in 3 company stacks and 4 developer stacks.

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Detailed Comparison

KairosDB
KairosDB
Clickhouse
Clickhouse

KairosDB is a fast distributed scalable time series database written on top of Cassandra.

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.

Statistics
GitHub Stars
1.8K
GitHub Stars
-
GitHub Forks
345
GitHub Forks
-
Stacks
16
Stacks
431
Followers
44
Followers
543
Votes
5
Votes
85
Pros & Cons
Pros
  • 1
    Open source
  • 1
    Easy Rest API
  • 1
    Easy setup
  • 1
    Time-Series data analysis
  • 1
    As fast as your cassandra/scylla cluster go
Pros
  • 21
    Fast, very very fast
  • 11
    Good compression ratio
  • 7
    Horizontally scalable
  • 6
    Utilizes all CPU resources
  • 5
    RESTful
Cons
  • 5
    Slow insert operations

What are some alternatives to KairosDB, Clickhouse?

MongoDB

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.

MySQL

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.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

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

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.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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