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DBMS > Realm vs. TerminusDB vs. Vertica vs. VictoriaMetrics

System Properties Comparison Realm vs. TerminusDB vs. Vertica vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameRealm  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVertica infoOpenText™ Vertica™  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 DataScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument storeGraph DBMSRelational DBMS infoColumn orientedTime Series DBMS
Secondary database modelsDocument store
RDF store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.60
Rank#52  Overall
#9  Document stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websiterealm.ioterminusdb.comwww.vertica.comvictoriametrics.com
Technical documentationrealm.io/­docsterminusdb.github.io/­terminusdb/­#vertica.com/­documentationdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperRealm, acquired by MongoDB in May 2019DataChemist Ltd.OpenText infopreviously Micro Focus and Hewlett PackardVictoriaMetrics
Initial release2014201820052018
Current release11.0.0, January 202312.0.3, January 2023v1.91, May 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoGPL V3commercial infoLimited community edition freeOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageProlog, RustC++Go
Server operating systemsAndroid
Backend: server-less
iOS
Windows
LinuxLinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
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 Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoSQL-like query language (WOQL)Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.no
APIs and other access methodsOWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
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
JavaScript
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresno inforuns within the applications so server-side scripts are unnecessaryyesyes, PostgreSQL PL/pgSQL, with minor differencesno
Triggersyes infoChange Listenersyesyes, called Custom Alertsno
Partitioning methods infoMethods for storing different data on different nodesnoneGraph Partitioninghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneJournaling StreamsMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory journalingyesyes
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 controlyesRole-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
RealmTerminusDB infoformer name was DataChemistVertica infoOpenText™ Vertica™VictoriaMetrics
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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RealmTerminusDB infoformer name was DataChemistVertica infoOpenText™ Vertica™VictoriaMetrics
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