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DBMS > AllegroGraph vs. Geode vs. GridGain vs. STSdb vs. VictoriaMetrics

System Properties Comparison AllegroGraph vs. Geode vs. GridGain vs. STSdb vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGeode  Xexclude from comparisonGridGain  Xexclude from comparisonSTSdb  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGridGain is an in-memory computing platform, built on Apache IgniteKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeKey-value store
Relational DBMS
Key-value storeTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websiteallegrograph.comgeode.apache.orgwww.gridgain.comgithub.com/­STSSoft/­STSdb4victoriametrics.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlgeode.apache.org/­docswww.gridgain.com/­docs/­index.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperFranz Inc.Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GridGain Systems, Inc.STS Soft SCVictoriaMetrics
Initial release20042002200720112018
Current release8.0, December 20231.1, February 2017GridGain 8.5.14.0.8, September 2015v1.91, May 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoGPLv2, commercial license availableOpen 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 languageJavaJava, C++, .NetC#Go
Server operating systemsLinux
OS X
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Solaris
Windows
WindowsFreeBSD
Linux
macOS
OpenBSD
Data schemeyes infoRDF schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)
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 possiblenoyesno
Secondary indexesyesnoyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query language (OQL)ANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsRESTful HTTP API
SPARQL
Java Client API
Memcached protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client APIGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsyes (compute grid and cache interceptors can be used instead)nono
Triggersyesyes infoCache Event Listenersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationyes (replicated cache)noneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights per client and object definableSecurity Hooks for custom implementationsno
More information provided by the system vendor
AllegroGraphGeodeGridGainSTSdbVictoriaMetrics
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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