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DBMS > Realm vs. Spark SQL vs. TerminusDB vs. VictoriaMetrics

System Properties Comparison Realm vs. Spark SQL vs. TerminusDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameRealm  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataSpark SQL is a component on top of 'Spark Core' for structured data processingScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument storeRelational DBMSGraph DBMSTime Series DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.60
Rank#52  Overall
#9  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websiterealm.iospark.apache.org/­sqlterminusdb.comvictoriametrics.com
Technical documentationrealm.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlterminusdb.github.io/­terminusdb/­#docs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperRealm, acquired by MongoDB in May 2019Apache Software FoundationDataChemist Ltd.VictoriaMetrics
Initial release2014201420182018
Current release3.5.0 ( 2.13), September 202311.0.0, January 2023v1.91, May 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoGPL V3Open Source infoApache 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 languageScalaProlog, RustGo
Server operating systemsAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Windows
LinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyes
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.nononono
Secondary indexesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (WOQL)no
APIs and other access methodsJDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
Java infowith Android only
Objective-C
React Native
Swift
Java
Python
R
Scala
JavaScript
Python
Server-side scripts infoStored proceduresno inforuns within the applications so server-side scripts are unnecessarynoyesno
Triggersyes infoChange Listenersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CoreGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneJournaling StreamsSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmnono
User concepts infoAccess controlyesnoRole-based access control

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More resources
RealmSpark SQLTerminusDB infoformer name was DataChemistVictoriaMetrics
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