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  1. Stackups
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  4. Databases
  5. KairosDB vs MySQL vs PostgreSQL

KairosDB vs MySQL vs PostgreSQL

OverviewComparisonAlternatives

Overview

MySQL
MySQL
Stacks129.6K
Followers108.6K
Votes3.8K
GitHub Stars11.8K
Forks4.1K
PostgreSQL
PostgreSQL
Stacks103.0K
Followers83.9K
Votes3.6K
GitHub Stars19.0K
Forks5.2K
KairosDB
KairosDB
Stacks16
Followers44
Votes5
GitHub Stars1.8K
Forks345

KairosDB vs MySQL vs PostgreSQL: What are the differences?

Introduction

When choosing between KairosDB, MySQL, and PostgreSQL for database management, it's important to understand the key differences to make an informed decision.

  1. Data Model: KairosDB is designed specifically for time-series data, making it highly optimized for timestamp-based queries, whereas MySQL and PostgreSQL are relational databases, providing support for a variety of data types and complex queries beyond time-series data.

  2. Query Language: KairosDB uses a query language tailored for time-series data, offering functionalities like aggregations, downsampling, and filtering based on timestamps. In contrast, MySQL and PostgreSQL use SQL for querying, allowing for a wide range of SQL operations for relational data.

  3. Scalability: KairosDB is horizontally scalable, allowing users to add new nodes to expand storage capacity and query throughput seamlessly. On the other hand, while MySQL and PostgreSQL support vertical scaling by increasing the resources of a single machine, they may require more manual intervention for horizontal scaling.

  4. Data Integrity and ACID Compliance: MySQL and PostgreSQL guarantee ACID properties, ensuring data integrity and consistency in transactions. KairosDB, on the other hand, may offer eventual consistency due to its focus on high throughput for time-series data, which may lead to trade-offs in some scenarios.

  5. Use Cases: KairosDB is best suited for applications that heavily rely on time-series data, such as IoT systems, monitoring, and analytics, where timestamp-based queries are frequent. In contrast, MySQL and PostgreSQL are versatile and can be used for a wide range of applications, including web applications, e-commerce platforms, and enterprise systems, where relational data handling is paramount.

  6. Community and Ecosystem: MySQL and PostgreSQL have well-established communities with robust ecosystems of tools, plugins, and resources for support and integration. While KairosDB also has an active community, it may not offer the same breadth of resources and third-party integrations as the more widely used MySQL and PostgreSQL databases.

In Summary, understanding the key differences between KairosDB, MySQL, and PostgreSQL in terms of data model, query language, scalability, data integrity, use cases, and community support is essential for choosing the right database management system for your specific requirements.

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Detailed Comparison

MySQL
MySQL
PostgreSQL
PostgreSQL
KairosDB
KairosDB

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 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.

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

Statistics
GitHub Stars
11.8K
GitHub Stars
19.0K
GitHub Stars
1.8K
GitHub Forks
4.1K
GitHub Forks
5.2K
GitHub Forks
345
Stacks
129.6K
Stacks
103.0K
Stacks
16
Followers
108.6K
Followers
83.9K
Followers
44
Votes
3.8K
Votes
3.6K
Votes
5
Pros & Cons
Pros
  • 800
    Sql
  • 679
    Free
  • 562
    Easy
  • 528
    Widely used
  • 490
    Open source
Cons
  • 16
    Owned by a company with their own agenda
  • 3
    Can't roll back schema changes
Pros
  • 765
    Relational database
  • 511
    High availability
  • 439
    Enterprise class database
  • 383
    Sql
  • 304
    Sql + nosql
Cons
  • 10
    Table/index bloatings
Pros
  • 1
    Easy setup
  • 1
    Easy Rest API
  • 1
    Open source
  • 1
    Time-Series data analysis
  • 1
    As fast as your cassandra/scylla cluster go

What are some alternatives to MySQL, PostgreSQL, KairosDB?

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.

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.

InfluxDB

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.

CouchDB

CouchDB

Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.

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