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DBMS > FoundationDB vs. Kinetica vs. Kingbase vs. Oracle Berkeley DB vs. SwayDB

System Properties Comparison FoundationDB vs. Kinetica vs. Kingbase vs. Oracle Berkeley DB vs. SwayDB

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonKinetica  Xexclude from comparisonKingbase  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSwayDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.Fully vectorized database across both GPUs and CPUsAn 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 modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational 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 modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational 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
Websitegithub.com/­apple/­foundationdbwww.kinetica.comwww.kingbase.com.cnwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlswaydb.simer.au
Technical documentationapple.github.io/­foundationdbdocs.kinetica.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperFoundationDBKineticaBeiJing KINGBASE Information technologies inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleSimer Plaha
Initial release20132012199919942018
Current release6.2.28, November 20207.1, August 2021V8.0, August 202118.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infocommercial license availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++C and JavaC, Java, C++ (depending on the Berkeley DB edition)Scala
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-free infosome layers support schemasyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesnono
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 indexesnoyesyesyesno
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like DML and DDL statementsStandard with numerous extensionsyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
JavaScript (Node.js)
Python
.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 proceduresin SQL-layer onlyuser defined functionsuser defined functionsnono
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelfine grained access rights according to SQL-standardnono

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More resources
FoundationDBKineticaKingbaseOracle Berkeley DBSwayDB
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