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DBMS > InfluxDB vs. RRDtool vs. ScyllaDB

System Properties Comparison InfluxDB vs. RRDtool vs. ScyllaDB

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonRRDtool  Xexclude from comparisonScyllaDB  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.Cassandra and DynamoDB compatible wide column store
Primary database modelTime Series DBMSTime Series DBMSKey-value store
Wide column store
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score29.55
Rank#29  Overall
#1  Time Series DBMS
Score2.50
Rank#115  Overall
#7  Time Series DBMS
Score3.75
Rank#90  Overall
#16  Key-value stores
#8  Wide column stores
Websitewww.influxdata.com/­products/­influxdb-overviewoss.oetiker.ch/­rrdtoolwww.scylladb.com
Technical documentationdocs.influxdata.com/­influxdboss.oetiker.ch/­rrdtool/­docdocs.scylladb.com
DeveloperTobias OetikerScyllaDB
Initial release201319992015
Current release2.0.8, August 20211.7.2, May 2019Scylla Open Source 4.6, March 2022
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL V2 and FLOSSOpen Source infoOpen Source (AGPL), commercial license available
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.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageGoC infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemsLinux
OS X infothrough Homebrew
HP-UX
Linux
Linux
Data schemeschema-freeyesschema-free
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 infocluster global secondary indices
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statements (CQL)
APIs and other access methodsHTTP API
JSON over UDP
in-process shared library
Pipes
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
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
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnonoyes, Lua
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlynoneselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesyes infoin-memory tables
User concepts infoAccess controlsimple rights management via user accountsnoAccess rights for users can be defined per object
More information provided by the system vendor
InfluxDBRRDtoolScyllaDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Scylla is a highly-available, highly-scalable, highly-performant NoSQL database....
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
AdTech ( AdGear , AppMonet , Dstillery , FullContact , MediaMath , Numberly , SAS...
» more
Key customersInfluxData has more than 1,300 paying customers, including customers include MuleSoft,...
» more
Comcast, Grab, OlaCabs, Yahoo! Japan, IMVU, Adgear, Xandr, Zenly, Natura, Snapfish,...
» more
Market metricsFastest growing database to drive 23,500 GitHub stars Over 600,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Scylla Open Source - free open source software (AGPL) Scylla Enterprise - subscription-based...
» more
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16 May 2022

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
InfluxDBRRDtoolScyllaDB
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Time Series DBMS are the database category with the fastest increase in popularity
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