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DBMS > Splunk vs. TempoIQ vs. Vitess

System Properties Comparison Splunk vs. TempoIQ vs. Vitess

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Editorial information provided by DB-Engines
NameSplunk  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonVitess  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionAnalytics Platform for Big DataScalable analytics DBMS for sensor data, provided as a service (SaaS)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelSearch engineTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score88.71
Rank#14  Overall
#2  Search engines
Score1.04
Rank#191  Overall
#89  Relational DBMS
Websitewww.splunk.comtempoiq.com (offline)vitess.io
Technical documentationdocs.splunk.com/­Documentation/­Splunkvitess.io/­docs
DeveloperSplunk Inc.TempoIQThe Linux Foundation, PlanetScale
Initial release200320122013
Current release15.0.2, December 2022
License infoCommercial or Open Sourcecommercial infoLimited free edition and free developer edition availablecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemsLinux
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLno infoSplunk Search Processing Language for search commandsnoyes infowith proprietary extensions
APIs and other access methodsHTTP RESTHTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
Java
JavaScript
PHP
Python
Ruby
C#
Java
JavaScript infoNode.js
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnoyes infoproprietary syntax
Triggersyesyes infoRealtime Alertsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
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 datano infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
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.nonoyes
User concepts infoAccess controlAccess rights for users and rolessimple authentication-based access controlUsers with fine-grained authorization concept infono user groups or roles

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More resources
SplunkTempoIQ infoformerly TempoDBVitess
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Recent citations in the news

Vitess, the database clustering system powering YouTube, graduates CNCF incubation
5 November 2019, SiliconANGLE News

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

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

provided by Google News



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