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DBMS > GridGain vs. H2GIS vs. TinkerGraph vs. VictoriaMetrics

System Properties Comparison GridGain vs. H2GIS vs. TinkerGraph vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonH2GIS  Xexclude from comparisonTinkerGraph  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteSpatial extension of H2A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value store
Relational DBMS
Spatial DBMSGraph DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.gridgain.comwww.h2gis.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinvictoriametrics.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.h2gis.org/­docs/­homedocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGridGain Systems, Inc.CNRSVictoriaMetrics
Initial release2007201320092018
Current releaseGridGain 8.5.1v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0Open Source infoApache 2.0Open Source infoApache Version 2.0
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 languageJava, C++, .NetJavaJavaGo
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesschema-free
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.yesnonono
Secondary indexesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
TinkerPop 3Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaGroovy
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infobased on H2nono
Triggersyes (cache interceptors and events)yesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infobased on H2noneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)noyes
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsyes infobased on H2no

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More resources
GridGainH2GISTinkerGraphVictoriaMetrics
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