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DBMS > GridGain vs. LevelDB vs. VictoriaMetrics

System Properties Comparison GridGain vs. LevelDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonLevelDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value store
Relational DBMS
Key-value storeTime Series 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
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.gridgain.comgithub.com/­google/­leveldbvictoriametrics.com
Technical documentationwww.gridgain.com/­docs/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGridGain Systems, Inc.GoogleVictoriaMetrics
Initial release200720112018
Current releaseGridGain 8.5.11.23, February 2021v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen 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++, .NetC++Go
Server operating systemsLinux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneSynchronous 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 ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes
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 implementationsno

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More resources
GridGainLevelDBVictoriaMetrics
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