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DBMS > mSQL vs. Oracle Berkeley DB vs. OrigoDB vs. Splice Machine vs. VelocityDB

System Properties Comparison mSQL vs. Oracle Berkeley DB vs. OrigoDB vs. Splice Machine vs. VelocityDB

Editorial information provided by DB-Engines
NamemSQL infoMini SQL  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionmSQL (Mini SQL) is a simple and lightweight RDBMSWidely used in-process key-value storeA fully ACID in-memory object graph databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Object oriented DBMS
Relational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitehughestech.com.au/­products/­msqlwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlorigodb.comsplicemachine.comvelocitydb.com
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlorigodb.com/­docssplicemachine.com/­how-it-worksvelocitydb.com/­UserGuide
DeveloperHughes TechnologiesOracle infooriginally developed by Sleepycat, which was acquired by OracleRobert Friberg et alSplice MachineVelocityDB Inc
Initial release199419942009 infounder the name LiveDB20142011
Current release4.4, October 202118.1.40, May 20203.1, March 20217.x
License infoCommercial or Open Sourcecommercial infofree licenses can be providedOpen Source infocommercial license availableOpen SourceOpen Source infoAGPL 3.0, commercial license availablecommercial
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 languageCC, Java, C++ (depending on the Berkeley DB edition)C#JavaC#
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Any that supports .NET
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoUser defined using .NET types and collectionsyesyes
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.noyes infoonly with the Berkeley DB XML editionno infocan be achieved using .NETno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes infoSQL interfaced based on SQLite is availablenoyesno
APIs and other access methodsJDBC
ODBC
.NET Client API
HTTP API
LINQ
JDBC
Native Spark Datasource
ODBC
.Net
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
.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
.NetC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
Server-side scripts infoStored proceduresnonoyesyes infoJavano
Triggersnoyes infoonly for the SQL APIyes infoDomain EventsyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning infoclient side managed; servers are not synchronizedShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datanoyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlnonoRole based authorizationAccess rights for users, groups and roles according to SQL-standardBased on Windows Authentication

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More resources
mSQL infoMini SQLOracle Berkeley DBOrigoDBSplice MachineVelocityDB
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