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DBMS > MaxDB vs. Oracle Berkeley DB vs. Spark SQL vs. Speedb vs. SWC-DB

System Properties Comparison MaxDB vs. Oracle Berkeley DB vs. Spark SQL vs. Speedb vs. SWC-DB

Editorial information provided by DB-Engines
NameMaxDB infoformerly named Adabas-D  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpeedb  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA robust and reliable RDBMS optimized to run all major SAP solutionsWidely used in-process key-value storeSpark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSKey-value storeWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.21
Rank#315  Overall
#45  Key-value stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitemaxdb.sap.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlspark.apache.org/­sqlwww.speedb.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationmaxdb.sap.com/­documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSAP, acquired from Software AG (Adabas-D) in 1997Oracle infooriginally developed by Sleepycat, which was acquired by OracleApache Software FoundationSpeedbAlex Kashirin
Initial release19841994201420202020
Current release7.9.10.12, February 202418.1.40, May 20203.5.0 ( 2.13), September 20230.5, April 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infocommercial license availableOpen Source infoApache 2.0Open Source infoApache Version 2.0; commercial license availableOpen Source infoGPL V3
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++C, Java, C++ (depending on the Berkeley DB edition)ScalaC++C++
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Linux
Windows
Linux
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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 editionnonono
Secondary indexesyesyesnono
SQL infoSupport of SQLyesyes infoSQL interfaced based on SQLite is availableSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
Proprietary protocol
Thrift
Supported programming languages.Net
C#
Java
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
Python
R
Scala
C
C++
Go
Java
Perl
Python
Ruby
C++
Server-side scripts infoStored proceduresyesnononono
Triggersyesyes infoonly for the SQL APInono
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes, utilizing Spark Corehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyes
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.noyesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnonono
More information provided by the system vendor
MaxDB infoformerly named Adabas-DOracle Berkeley DBSpark SQLSpeedbSWC-DB infoSuper Wide Column Database
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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More resources
MaxDB infoformerly named Adabas-DOracle Berkeley DBSpark SQLSpeedbSWC-DB infoSuper Wide Column Database
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