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DBMS > Drizzle vs. Interbase vs. Kinetica vs. Oracle Berkeley DB vs. TerarkDB

System Properties Comparison Drizzle vs. Interbase vs. Kinetica vs. Oracle Berkeley DB vs. TerarkDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonInterbase  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTerarkDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Light-weight proven RDBMS infooriginally from BorlandFully vectorized database across both GPUs and CPUsWidely used in-process key-value storeA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.embarcadero.com/­products/­interbasewww.kinetica.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­bytedance/­terarkdb
Technical documentationdocs.embarcadero.com/­products/­interbasedocs.kinetica.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDrizzle project, originally started by Brian AkerEmbarcaderoKineticaOracle infooriginally developed by Sleepycat, which was acquired by OracleByteDance, originally Terark
Initial release20081984201219942016
Current release7.2.4, September 2012InterBase 2020, December 20197.1, August 202118.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen Source infocommercial license availablecommercial inforestricted open source version available
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 languageC++CC, C++C, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsFreeBSD
Linux
OS X
Android
iOS
Linux
OS X
Windows
LinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.no infoexport as XML data possiblenoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL-like DML and DDL statementsyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC
C++
Java
PHP
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
JavaScript (Node.js)
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
C++
Java
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languageuser defined functionsnono
Triggersno infohooks for callbacks inside the server can be used.yesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Interbase Change ViewsSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
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.yesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnono

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More resources
DrizzleInterbaseKineticaOracle Berkeley DBTerarkDB
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