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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Graphite vs InfluxDB

Graphite vs InfluxDB

OverviewDecisionsComparisonAlternatives

Overview

Graphite
Graphite
Stacks383
Followers419
Votes42
GitHub Stars6.0K
Forks1.3K
InfluxDB
InfluxDB
Stacks1.0K
Followers1.2K
Votes175

Graphite vs InfluxDB: What are the differences?

Key Differences between Graphite and InfluxDB

1. Scalability: Graphite has limitations in terms of scalability due to its architecture, which relies on carbon-cache and Whisper as the storage engine. In contrast, InfluxDB is designed to handle high volumes of data with its efficient storage engine and distributed architecture, making it more scalable for large-scale deployments.

2. Data Model: Graphite follows a hierarchical data model where metrics are organized into a directory-like structure, and each metric has a separate database file. InfluxDB, on the other hand, adopts a tag-based data model, allowing flexible organization and efficient querying of data with tags representing metadata.

3. Query Language: Graphite uses the Graphite Query Language (GQL) for querying and manipulating data, which has a limited set of functions and operations. InfluxDB, on the other hand, utilizes its own query language called InfluxQL, which offers a more extensive range of functions, joins, and aggregations for complex data analysis.

4. Schema Flexibility: In Graphite, the schema for metrics is predefined and requires manual configuration for changes. InfluxDB, in contrast, offers schema flexibility as it allows data to be written without predefined tables or columns, making it easier to adapt to changing data structures.

5. Additional Features: InfluxDB provides several additional features that are not available in Graphite. This includes built-in support for continuous queries, retention policies, and authentication. InfluxDB also has integrations with popular visualization and alerting tools, making it more suitable for comprehensive monitoring and analytics solutions.

6. Write and Query Performance: InfluxDB is known for its high write and query performance due to its efficient storage engine and indexing. It can handle millions of data points per second and provide fast response times for queries even on large datasets. Graphite, although adequate for small-scale deployments, may face performance limitations when dealing with high write and query loads.

In Summary, Graphite and InfluxDB differ in terms of scalability, data model, query language, schema flexibility, additional features, and performance, making each suitable for specific use cases depending on the requirements.

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Advice on Graphite, InfluxDB

Anonymous
Anonymous

Apr 21, 2020

Needs advice

We are building an IOT service with heavy write throughput and fewer reads (we need downsampling records). We prefer to have good reliability when comes to data and prefer to have data retention based on policies.

So, we are looking for what is the best underlying DB for ingesting a lot of data and do queries easily

381k views381k
Comments
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
Benoit
Benoit

Principal Engineer at Sqreen

Sep 21, 2019

Decided

I chose TimescaleDB because to be the backend system of our production monitoring system. We needed to be able to keep track of multiple high cardinality dimensions.

The drawbacks of this decision are our monitoring system is a bit more ad hoc than it used to (New Relic Insights)

We are combining this with Grafana for display and Telegraf for data collection

155k views155k
Comments

Detailed Comparison

Graphite
Graphite
InfluxDB
InfluxDB

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

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.

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
Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer
Statistics
GitHub Stars
6.0K
GitHub Stars
-
GitHub Forks
1.3K
GitHub Forks
-
Stacks
383
Stacks
1.0K
Followers
419
Followers
1.2K
Votes
42
Votes
175
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
  • 59
    Time-series data analysis
  • 30
    Easy setup, no dependencies
  • 24
    Fast, scalable & open source
  • 21
    Open source
  • 20
    Real-time analytics
Cons
  • 4
    Instability
  • 1
    HA or Clustering is only in paid version
  • 1
    Proprietary query language
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, InfluxDB?

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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