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DBMS > AllegroGraph vs. OrientDB vs. VictoriaMetrics vs. Yaacomo

System Properties Comparison AllegroGraph vs. OrientDB vs. VictoriaMetrics vs. Yaacomo

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonOrientDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSMulti-model DBMS (Document, Graph, Key/Value)A fast, cost-effective and scalable Time Series DBMS and monitoring solutionOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Document store
Graph DBMS
Key-value store
Time Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.24
Rank#156  Overall
#27  Document stores
#14  Graph DBMS
#7  RDF stores
Score4.56
Rank#80  Overall
#13  Document stores
#5  Graph DBMS
#12  Key-value stores
Score0.56
Rank#233  Overall
#18  Time Series DBMS
Score0.00
Rank#348  Overall
#146  Relational DBMS
Websiteallegrograph.comorientdb.orgvictoriametrics.comyaacomo.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.orientdb.com/­docs/­last/­index.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperFranz Inc.OrientDB LTD; CallidusCloud; SAPVictoriaMetricsQ2WEB GmbH
Initial release2004201020182009
Current release7.2, October 20213.1.9, February 2021v1.63, July 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache version 2Open Source infoApache Version 2.0commercial
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 languageJavaGo
Server operating systemsLinux
OS X
Windows
All OS with a Java JDK (>= JDK 6)FreeBSD
Linux
macOS
OpenBSD
Android
Linux
Windows
Data schemeyes infoRDF schemasschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
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.no infobulk load of XML files possiblenonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query language, no joinsnoyes
APIs and other access methodsRESTful HTTP API
SPARQL
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispJava, Javascriptno
TriggersyesHooksnoyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationSynchronous replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and roles; record level security configurablefine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphOrientDBVictoriaMetricsYaacomo
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
High performance, horizontally scalable time series database and monitoring solution...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Specifically designed for highly loaded workloads Addresses most of the scalability...
» more
Typical application scenariosWhen the current monitoring solution can't keep up with increasing workload Kubernetes...
» more
Key customersGrammarly, Wix.com, adidas, Sensedia, Brandwatch, CERN, COLOPL, Razorpay See our...
» more
Market metrics4.9k stars and 70+ contributors on GitHub 20M+ downloads Thousands of active users...
» more
Licensing and pricing modelsVictoriaMetrics comes in two versions: an open source version and an Enterprise version....
» more
News

Authentic Meets Artificial – The New Intelligence – DM Radio Broadcast
13 January 2022

Embedding Gruff In a Web Page
10 January 2022

AllegroGraph Named 2022 “Trend Setter”
3 January 2022

Predictions: Quantum AI, Graph Neural Networks, and Personal Data Pods
16 December 2021

Franz Inc. Announces AllegroGraph Has No Log4j Security Exposure
14 December 2021

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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
AllegroGraphOrientDBVictoriaMetricsYaacomo
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