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  5. Graphite vs KairosDB

Graphite vs KairosDB

OverviewDecisionsComparisonAlternatives

Overview

Graphite
Graphite
Stacks383
Followers419
Votes42
GitHub Stars6.0K
Forks1.3K
KairosDB
KairosDB
Stacks16
Followers44
Votes5
GitHub Stars1.8K
Forks345

Graphite vs KairosDB: What are the differences?

1. Query Language: Graphite uses a simple query language that allows users to query metrics based on patterns and wildcards, while KairosDB provides more flexibility with a more powerful query language that supports various functions such as aggregations, transformations, and filtering based on tags.

2. Aggregation Functions: Graphite offers basic aggregation functions like sum, average, min, and max, whereas KairosDB provides a wide range of advanced aggregation functions such as percentile, group by time, moving average, and rate interpolation.

3. Data Retention: Graphite does not come with built-in data retention policies, so users have to manage data retention manually, whereas KairosDB includes configurable data retention policies that allow users to define how long data should be stored before it is automatically purged.

4. High Availability: Graphite does not natively support high availability or clustering, requiring users to implement their own solutions for redundancy and failover, while KairosDB offers built-in support for high availability and clustering through a distributed architecture that ensures data reliability and fault tolerance.

5. Data Model: Graphite follows a simpler data model with hierarchical organization using dots for separating components in metric names, while KairosDB utilizes tags to provide a more flexible and scalable data model that allows for easier data exploration and filtering based on metadata.

6. Community Support: Graphite has a larger community and more extensive documentation, making it easier for users to find resources, troubleshoot issues, and collaborate with other users, whereas KairosDB has a smaller but still active community, which can make finding help and resources more challenging at times.

In Summary, Graphite and KairosDB differ in query language flexibility, aggregation functions, data retention policies, high availability support, data model complexity, and community support.

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Advice on Graphite, KairosDB

Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k
Comments

Detailed Comparison

Graphite
Graphite
KairosDB
KairosDB

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

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

carbon - a Twisted daemon that listens for time-series data;whisper - a simple database library for storing time-series data (similar in design to RRD);graphite webapp - A Django webapp that renders graphs on-demand using Cairo
-
Statistics
GitHub Stars
6.0K
GitHub Stars
1.8K
GitHub Forks
1.3K
GitHub Forks
345
Stacks
383
Stacks
16
Followers
419
Followers
44
Votes
42
Votes
5
Pros & Cons
Pros
  • 16
    Render any graph
  • 9
    Great functions to apply on timeseries
  • 8
    Well supported integrations
  • 6
    Includes event tracking
  • 3
    Rolling aggregation makes storage managable
Pros
  • 1
    As fast as your cassandra/scylla cluster go
  • 1
    Time-Series data analysis
  • 1
    Easy setup
  • 1
    Easy Rest API
  • 1
    Open source
Integrations
Sensu
Sensu
Nagios
Nagios
Logstash
Logstash
Windows Server
Windows Server
Netdata
Netdata
Riemann
Riemann
Diamond
Diamond
Telegraf
Telegraf
collectd
collectd
Ganglia
Ganglia
No integrations available

What are some alternatives to Graphite, 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.

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.

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

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.

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