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DBMS > Microsoft Azure Table Storage vs. Realm vs. VictoriaMetrics vs. Yanza

System Properties Comparison Microsoft Azure Table Storage vs. Realm vs. VictoriaMetrics vs. Yanza

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonRealm  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA fast, cost-effective and scalable Time Series DBMS and monitoring solutionTime Series DBMS for IoT Applications
Primary database modelWide column storeDocument storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score7.41
Rank#52  Overall
#8  Document stores
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesrealm.iovictoriametrics.comyanza.com
Technical documentationrealm.io/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperMicrosoftRealm, acquired by MongoDB in May 2019VictoriaMetricsYanza
Initial release2012201420182015
Current releasev1.91, May 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache Version 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemshostedAndroid
Backend: server-less
iOS
Windows
FreeBSD
Linux
macOS
OpenBSD
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nononono
Secondary indexesnoyesno
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
HTTP API
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
any language that supports HTTP calls
Server-side scripts infoStored proceduresnono inforuns within the applications so server-side scripts are unnecessarynono
Triggersnoyes infoChange Listenersnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneSynchronous replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes infoIn-Memory realmno
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesyesno

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More resources
Microsoft Azure Table StorageRealmVictoriaMetricsYanza
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