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DBMS > Blueflood vs. Oracle Berkeley DB vs. Spark SQL vs. SWC-DB vs. UniData,UniVerse

System Properties Comparison Blueflood vs. Oracle Berkeley DB vs. Spark SQL vs. SWC-DB vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraWidely used in-process key-value storeSpark SQL is a component on top of 'Spark Core' for structured data processingA high performance, scalable Wide Column DBMSMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSWide column storeMultivalue DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websiteblueflood.iowww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlspark.apache.org/­sqlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.oracle.com/­cd/­E17076_05/­html/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperRackspaceOracle infooriginally developed by Sleepycat, which was acquired by OracleApache Software FoundationAlex KashirinRocket Software
Initial release20131994201420201985
Current release18.1.40, May 20203.5.0 ( 2.13), September 20230.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infocommercial license availableOpen Source infoApache 2.0Open Source infoGPL V3commercial
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 languageJavaC, Java, C++ (depending on the Berkeley DB edition)ScalaC++C
Server operating systemsLinux
OS X
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemepredefined schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesoptional
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 editionnono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsHTTP RESTJDBC
ODBC
Proprietary protocol
Thrift
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.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
Python
R
Scala
C++.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnonononoyes
Triggersnoyes infoonly for the SQL APInonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandranoneyes, utilizing Spark CoreShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoconfigurable
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.noyesnono
User concepts infoAccess controlnononoAccess rights according to SQL-standard and operating system based

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More resources
BluefloodOracle Berkeley DBSpark SQLSWC-DB infoSuper Wide Column DatabaseUniData,UniVerse
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