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DBMS > GridDB vs. Kingbase vs. Oracle Berkeley DB vs. SwayDB

System Properties Comparison GridDB vs. Kingbase vs. Oracle Berkeley DB vs. SwayDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonKingbase  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Widely used in-process key-value storeAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelTime Series DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value store
Secondary database modelsKey-value store
Relational DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitegriddb.netwww.kingbase.com.cnwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlswaydb.simer.au
Technical documentationdocs.griddb.netdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperToshiba CorporationBeiJing KINGBASE Information technologies inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleSimer Plaha
Initial release2013199919942018
Current release5.1, August 2022V8.0, August 202118.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infocommercial license availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and JavaC, Java, C++ (depending on the Berkeley DB edition)Scala
Server operating systemsLinuxLinux
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesnono
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.noyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)Standard with numerous extensionsyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersyesyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardnono
More information provided by the system vendor
GridDBKingbaseOracle Berkeley DBSwayDB
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
GridDBKingbaseOracle Berkeley DBSwayDB
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