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DBMS > GigaSpaces vs. H2 vs. HugeGraph vs. mSQL vs. VictoriaMetrics

System Properties Comparison GigaSpaces vs. H2 vs. HugeGraph vs. mSQL vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonH2  Xexclude from comparisonHugeGraph  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A fast-speed and highly-scalable Graph DBMSmSQL (Mini SQL) is a simple and lightweight RDBMSA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSGraph DBMSRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.gigaspaces.comwww.h2database.comgithub.com/­hugegraph
hugegraph.apache.org
hughestech.com.au/­products/­msqlvictoriametrics.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.h2database.com/­html/­main.htmlhugegraph.apache.org/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGigaspaces TechnologiesThomas MuellerBaiduHughes TechnologiesVictoriaMetrics
Initial release20002005201819942018
Current release15.5, September 20202.2.220, July 20230.94.4, October 2021v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2.0commercial infofree licenses can be providedOpen 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 languageJava, C++, .NetJavaJavaCGo
Server operating systemsLinux
macOS
Solaris
Windows
All OS with a Java VMLinux
macOS
Unix
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesyesyes
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.no infoXML can be used for describing objects metadatanononono
Secondary indexesyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-99 for query and DML statementsyesnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C++
Java
Python
Scala
JavaGroovy
Java
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined Functionsasynchronous Gremlin script jobsnono
Triggersyes, event driven architectureyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
With clustering: 2 database servers on different computers operate on identical copies of a databaseyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoyesyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesnoyes
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.yesyesyesnono
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardUsers, roles and permissionsno

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More resources
GigaSpacesH2HugeGraphmSQL infoMini SQLVictoriaMetrics
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