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DBMS > InfluxDB vs. JaguarDB vs. Vitess vs. YTsaurus

System Properties Comparison InfluxDB vs. JaguarDB vs. Vitess vs. YTsaurus

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonVitess  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsPerformant, highly scalable DBMS for AI and IoT applicationsScalable, distributed, cloud-native DBMS, extending MySQLYTsaurus is an open source platform for distributed storage and processing.
Primary database modelTime Series DBMSKey-value store
Vector DBMS
Relational DBMSDocument store
Key-value store
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitewww.influxdata.com/­products/­influxdb-overviewwww.jaguardb.comvitess.ioytsaurus.tech
Technical documentationdocs.influxdata.com/­influxdbwww.jaguardb.com/­support.htmlvitess.io/­docsytsaurus.tech/­docs/­en
DeveloperDataJaguar, Inc.The Linux Foundation, PlanetScaleYandex
Initial release2013201520132023
Current release2.7.6, April 20243.3 July 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL V3.0Open Source infoApache Version 2.0, commercial licenses availableOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ infothe server part. Clients available in other languagesGoC++
Server operating systemsLinux
OS X infothrough Homebrew
LinuxDocker
Linux
macOS
Ubuntu
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyesyes
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query languageA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infowith proprietary extensionsYQL, an SQL-based language, is supported
APIs and other access methodsHTTP API
JSON over UDP
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes infoproprietary syntax
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-source replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage enginenoyes
User concepts infoAccess controlsimple rights management via user accountsrights management via user accountsUsers with fine-grained authorization concept infono user groups or rolesAccess Control Lists
More information provided by the system vendor
InfluxDBJaguarDBVitessYTsaurus
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

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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
InfluxDBJaguarDBVitessYTsaurus
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

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Recent citations in the news

Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services
14 March 2024, AWS Blog

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PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
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PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

They scaled YouTube — now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

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«Яндекс» открыл исходный код платформы для работы с большими данными YTsaurus
20 March 2023, ServerNews

«Яндекс» опубликовал исходный код платформы для работы с большими данными YTsaurus
20 March 2023, Rozetked.me

Яндекс опубликовал код YTsaurus — своей главной платформы для работы с большими данными - iXBT.com
20 March 2023, новости техники и технологий

Отставки и назначения за две недели. 29 февраля 2024 года | Executive.ru
29 February 2024, E-xecutive

«Яндекс» начал приём заявок на гранты для опенсорс-проектов в рамках Yandex Open Source
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