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DBMS > GBase vs. GridDB vs. H2 vs. Lovefield vs. Quasardb

System Properties Comparison GBase vs. GridDB vs. H2 vs. Lovefield vs. Quasardb

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGridDB  Xexclude from comparisonH2  Xexclude from comparisonLovefield  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Scalable in-memory time series database optimized for IoT and Big DataFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Embeddable relational database for web apps written in pure JavaScriptDistributed, high-performance timeseries database
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.gbase.cngriddb.netwww.h2database.comgoogle.github.io/­lovefieldquasar.ai
Technical documentationdocs.griddb.netwww.h2database.com/­html/­main.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddoc.quasar.ai/­master
DeveloperGeneral Data Technology Co., Ltd.Toshiba CorporationThomas MuellerGooglequasardb
Initial release20042013200520142009
Current releaseGBase 8a, GBase 8s, GBase 8c5.1, August 20222.2.220, July 20232.1.12, February 20173.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC++JavaJavaScriptC++
Server operating systemsLinuxLinuxAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariBSD
Linux
OS X
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes infointeger and binary
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 indexesyesyesyesyesyes infowith tags
SQL infoSupport of SQLStandard with numerous extensionsSQL92, SQL-like TQL (Toshiba Query Language)yesSQL-like query language infovia JavaScript builder patternSQL-like query language
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
HTTP API
Supported programming languagesC#C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaJavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored Procedures and User-Defined Functionsnono
TriggersyesyesyesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingnonenoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databasenoneSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing MemoryDByes infoTransient mode
User concepts infoAccess controlyesAccess rights for users can be defined per databasefine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
GBaseGridDBH2LovefieldQuasardb
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
GBaseGridDBH2LovefieldQuasardb
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