KairosDB vs MySQL vs PostgreSQL

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KairosDB

16
44
+ 1
5
MySQL

125.3K
106K
+ 1
3.8K
PostgreSQL

98.2K
82.2K
+ 1
3.5K

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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Pros of KairosDB
Pros of MySQL
Pros of PostgreSQL
  • 1
    As fast as your cassandra/scylla cluster go
  • 1
    Time-Series data analysis
  • 1
    Easy setup
  • 1
    Easy Rest API
  • 1
    Open source
  • 800
    Sql
  • 679
    Free
  • 562
    Easy
  • 528
    Widely used
  • 490
    Open source
  • 180
    High availability
  • 160
    Cross-platform support
  • 104
    Great community
  • 79
    Secure
  • 75
    Full-text indexing and searching
  • 26
    Fast, open, available
  • 16
    Reliable
  • 16
    SSL support
  • 15
    Robust
  • 9
    Enterprise Version
  • 7
    Easy to set up on all platforms
  • 3
    NoSQL access to JSON data type
  • 1
    Relational database
  • 1
    Easy, light, scalable
  • 1
    Sequel Pro (best SQL GUI)
  • 1
    Replica Support
  • 763
    Relational database
  • 510
    High availability
  • 439
    Enterprise class database
  • 383
    Sql
  • 304
    Sql + nosql
  • 173
    Great community
  • 147
    Easy to setup
  • 131
    Heroku
  • 130
    Secure by default
  • 113
    Postgis
  • 50
    Supports Key-Value
  • 48
    Great JSON support
  • 34
    Cross platform
  • 33
    Extensible
  • 28
    Replication
  • 26
    Triggers
  • 23
    Multiversion concurrency control
  • 23
    Rollback
  • 21
    Open source
  • 18
    Heroku Add-on
  • 17
    Stable, Simple and Good Performance
  • 15
    Powerful
  • 13
    Lets be serious, what other SQL DB would you go for?
  • 11
    Good documentation
  • 9
    Scalable
  • 8
    Free
  • 8
    Reliable
  • 8
    Intelligent optimizer
  • 7
    Transactional DDL
  • 7
    Modern
  • 6
    One stop solution for all things sql no matter the os
  • 5
    Relational database with MVCC
  • 5
    Faster Development
  • 4
    Full-Text Search
  • 4
    Developer friendly
  • 3
    Excellent source code
  • 3
    Free version
  • 3
    Great DB for Transactional system or Application
  • 3
    Relational datanbase
  • 3
    search
  • 3
    Open-source
  • 2
    Text
  • 2
    Full-text
  • 1
    Can handle up to petabytes worth of size
  • 1
    Composability
  • 1
    Multiple procedural languages supported
  • 0
    Native

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Cons of KairosDB
Cons of MySQL
Cons of PostgreSQL
    Be the first to leave a con
    • 16
      Owned by a company with their own agenda
    • 3
      Can't roll back schema changes
    • 10
      Table/index bloatings

    Sign up to add or upvote consMake informed product decisions

    What is KairosDB?

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

    What is 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.

    What is 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.

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    What companies use KairosDB?
    What companies use MySQL?
    What companies use PostgreSQL?

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    What tools integrate with KairosDB?
    What tools integrate with MySQL?
    What tools integrate with PostgreSQL?

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    What are some alternatives to KairosDB, MySQL, and PostgreSQL?
    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.
    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.
    Graphite
    Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand
    OpenTSDB
    It is a distributed, scalable time series database to store, index & serve metrics collected from computer systems at a large scale. It can store and serve massive amounts of time series data without losing granularity.
    Prometheus
    Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
    See all alternatives