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DBMS > Adabas vs. AlaSQL vs. Oracle Berkeley DB vs. Sequoiadb vs. Spark SQL

System Properties Comparison Adabas vs. AlaSQL vs. Oracle Berkeley DB vs. Sequoiadb vs. Spark SQL

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAlaSQL  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformJavaScript DBMS libraryWidely used in-process key-value storeNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelMultivalue DBMSDocument store
Relational DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlalasql.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.sequoiadb.comspark.apache.org/­sql
Technical documentationgithub.com/­AlaSQL/­alasqldocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSoftware AGAndrey Gershun & Mathias R. WulffOracle infooriginally developed by Sleepycat, which was acquired by OracleSequoiadb Ltd.Apache Software Foundation
Initial release19712014199420132014
Current release18.1.40, May 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT-LicenseOpen Source infocommercial license availableOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC, Java, C++ (depending on the Berkeley DB edition)C++Scala
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
server-less, requires a JavaScript environment (browser, Node.js)AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes infooid, date, timestamp, binary, regexyes
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.nonoyes infoonly with the Berkeley DB XML editionnono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayClose to SQL99, but no user access control, stored procedures and host language bindings.yes infoSQL interfaced based on SQLite is availableSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JavaScript APIproprietary protocol using JSONJDBC
ODBC
Supported programming languagesNaturalJavaScript.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
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresin NaturalnonoJavaScriptno
Triggersnoyesyes infoonly for the SQL APInono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanonenoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatornoneSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoonly for local storage and DOM-storageACIDDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)nonosimple password-based access controlno

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Adabas infodenotes "adaptable data base"AlaSQLOracle Berkeley DBSequoiadbSpark SQL
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