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DBMS > AgensGraph vs. GigaSpaces vs. JanusGraph vs. VelocityDB vs. VictoriaMetrics

System Properties Comparison AgensGraph vs. GigaSpaces vs. JanusGraph vs. VelocityDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGigaSpaces  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonVelocityDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelGraph DBMS
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Graph DBMSGraph DBMS
Object oriented DBMS
Time Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score1.85
Rank#134  Overall
#12  Graph DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
#21  Object oriented DBMS
Score1.23
Rank#165  Overall
#15  Time Series DBMS
Websitebitnine.net/­agensgraphwww.gigaspaces.comjanusgraph.orgvelocitydb.comvictoriametrics.com
Technical documentationbitnine.net/­documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.janusgraph.orgvelocitydb.com/­UserGuidedocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperBitnine Global Inc.Gigaspaces TechnologiesLinux Foundation; originally developed as Titan by AureliusVelocityDB IncVictoriaMetrics
Initial release20162000201720112018
Current release2.1, December 201815.5, September 20201.0.0, October 20237.xv1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, C++, .NetJavaC#Go
Server operating systemsLinux
OS X
Windows
Linux
macOS
Solaris
Windows
Linux
OS X
Unix
Windows
Any that supports .NETFreeBSD
Linux
macOS
OpenBSD
Data schemedepending on used data modelschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono infoXML can be used for describing objects metadatanonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-99 for query and DML statementsnonono
APIs and other access methodsCypher Query Language
JDBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
.NetGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC
Java
JavaScript
Python
.Net
C++
Java
Python
Scala
Clojure
Java
Python
.Net
Server-side scripts infoStored proceduresyesyesyesnono
Triggersnoyes, event driven architectureyesCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlUser authentification and security via Rexster Graph ServerBased on Windows Authentication

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More resources
AgensGraphGigaSpacesJanusGraph infosuccessor of TitanVelocityDBVictoriaMetrics
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