DB-EngineseXtremeDB: 5 9's high availability databaseEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > InfluxDB vs. RRDtool vs. YugabyteDB

System Properties Comparison InfluxDB vs. RRDtool vs. YugabyteDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonRRDtool  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.High-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.
Primary database modelTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.86
Rank#30  Overall
#1  Time Series DBMS
Score3.05
Rank#94  Overall
#5  Time Series DBMS
Score1.04
Rank#159  Overall
#77  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewoss.oetiker.ch/­rrdtoolwww.yugabyte.com
Technical documentationdocs.influxdata.com/­influxdboss.oetiker.ch/­rrdtool/­docdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperTobias OetikerYugabyte Inc.
Initial release201319992017
Current release1.8.0, April 20201.7.2, May 20192.1.8.2, June 2020
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL V2 and FLOSSOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC infoImplementations in Java (e.g. RRD4J) and C# availableC and C++
Server operating systemsLinux
OS X infothrough Homebrew
HP-UX
Linux
Linux
OS X
Data schemeschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateNumeric data and StringsNumeric data onlyyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono infoExporting into and restoring from XML files possibleno
Secondary indexesnonoyes
SQL infoSupport of SQLSQL-like query languagenoyes, PostgreSQL compatible
APIs and other access methodsHTTP API
JSON over UDP
in-process shared library
Pipes
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infosql, plpgsql, C
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynoneHash and Range Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlynoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesno
User concepts infoAccess controlsimple rights management via user accountsnoyes
More information provided by the system vendor
InfluxDBRRDtoolYugabyteDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Gain Developer Agility Leverage full power of PostgreSQL-compatible SQL and distributed...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
YugabyteDB is a distributed ACID-compliant database that brings together four must-have...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
YugabyteDB is a good fit for fast-growing, cloud native applications that need to...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
YugabyteDB is a 100% open source project licensed under the permissive Apache 2.0...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
InfluxDBRRDtoolYugabyteDB
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Recent citations in the news

Time series databases at the core of the enterprise: real-time insights
1 July 2020, TechHQ

Expert Weighs in on Creating Dashboards from vSphere Assets
15 June 2020, Database Trends and Applications

Where InfluxDB time series database is going
21 January 2020, TechTarget

InfluxData Brings InfluxDB Cloud 2.0 Serverless Platform to Europe to Support Enterprise Transformation with Time Series Technology
14 November 2019, Business Wire

A guide to monitoring tools
1 July 2020, SDTimes.com

provided by Google News

Bare-Bones Monitoring with Monit and RRDtool
21 March 2019, Linux Journal

How to install and use RRDTool to speed up MRTG monitoring
24 June 2009, SearchDataCenter.com

The 16 Best Free and Open Source Network Monitoring Tools for 2020
8 April 2020, Solutions Review

How to install Cacti SNMP Monitor on Ubuntu
24 November 2017, TechRepublic

How to install the Observium network discovery tool on Ubuntu Server 18.10
25 December 2019, TechRepublic

provided by Google News

Can Yugabyte Modernize the Database Layer? Bill Cook Thinks So
30 June 2020, Datanami

Wipro Ventures participates in Yugabyte funding round
12 June 2020, indica News

Yugabyte raises $30M for its cloud-native distributed SQL database
9 June 2020, SiliconANGLE

Big Data Career Notes: June 2020 Edition
15 June 2020, Datanami

Yugabyte Scales to New Heights with the Release of YugabyteDB 2.1
25 February 2020, Business Wire

provided by Google News

Job opportunities

Ruby On Rails Developer (5+ years)
Power Home Remodeling, Newark, DE

Ruby On Rails Developer (5+ years)
Power Home Remodeling, Glassboro, NJ

Ruby On Rails Developer (5+ years)
Power Home Remodeling, Reading, PA

Ruby On Rails Developer (5+ years)
Power Home Remodeling, Chester, PA

Ruby On Rails Developer (5+ years)
Power Home Remodeling, Horsham, PA

Technical Support Engineer/Unix Admin
DigiLink, Marina del Rey, CA

Systems Engineer
Domeyard LP, Boston, MA

Solutions Architect
Charles Schwab Inc., Westlake, TX

Data Scientist
CipherTrace, San Francisco Bay Area, CA

Data Visualization Developer
CipherTrace, San Francisco Bay Area, CA

Big Data Pipeline Engineer
CipherTrace, San Francisco Bay Area, CA

Data Engineer
CipherTrace, San Francisco Bay Area, CA

jobs by Indeed




Share this page

Featured Products

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Arangodb logo

One open-source engine for graph, document & search. Simplify your deployment
stack on Prem, in the cloud - Anywhere.

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

Present your product here