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DBMS > GridGain vs. LevelDB vs. ObjectBox vs. openGemini vs. Sequoiadb

System Properties Comparison GridGain vs. LevelDB vs. ObjectBox vs. openGemini vs. Sequoiadb

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonLevelDB  Xexclude from comparisonObjectBox  Xexclude from comparisonopenGemini  Xexclude from comparisonSequoiadb  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 valuesExtremely fast embedded database for small devices, IoT and MobileAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityNewSQL database with distributed OLTP and SQL
Primary database modelKey-value store
Relational DBMS
Key-value storeObject oriented DBMSTime Series DBMSDocument store
Relational DBMS
Secondary database modelsTime 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
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitewww.gridgain.comgithub.com/­google/­leveldbobjectbox.iowww.opengemini.org
github.com/­openGemini
www.sequoiadb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.objectbox.iodocs.opengemini.org/­guidewww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperGridGain Systems, Inc.GoogleObjectBox LimitedHuawei and openGemini communitySequoiadb Ltd.
Initial release20072011201720222013
Current releaseGridGain 8.5.11.23, February 20211.1, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoServer: AGPL; Client: Apache V2
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++, .NetC++C and C++GoC++
Server operating systemsLinux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Android
iOS
Linux
macOS
Windows
Linux
Windows
Linux
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesInteger, Float, Boolean, Stringyes infooid, date, timestamp, binary, regex
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.yesnononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonoSQL-like query languageSQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary native APIHTTP RESTproprietary protocol using JSON
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
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nononoJavaScript
Triggersyes (cache interceptors and events)nononono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneonline/offline synchronization between client and serveryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsnoyesAdministrators and common users accountssimple password-based access control
More information provided by the system vendor
GridGainLevelDBObjectBoxopenGeminiSequoiadb
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