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DBMS > GridGain vs. TerminusDB vs. VictoriaMetrics

System Properties Comparison GridGain vs. TerminusDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value store
Relational DBMS
Graph DBMSTime Series DBMS
Secondary database modelsDocument store
RDF store
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
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.gridgain.comterminusdb.comvictoriametrics.com
Technical documentationwww.gridgain.com/­docs/­index.htmlterminusdb.github.io/­terminusdb/­#docs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGridGain Systems, Inc.DataChemist Ltd.VictoriaMetrics
Initial release200720182018
Current releaseGridGain 8.5.111.0.0, January 2023v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetProlog, RustGo
Server operating systemsLinux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.yesnono
Secondary indexesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (WOQL)no
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaScript
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesno
Triggersyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Journaling StreamsSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsRole-based access control

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More resources
GridGainTerminusDB infoformer name was DataChemistVictoriaMetrics
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