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DBMS > Adabas vs. AlaSQL vs. LeanXcale vs. Postgres-XL vs. Splice Machine

System Properties Comparison Adabas vs. AlaSQL vs. LeanXcale vs. Postgres-XL vs. Splice Machine

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAlaSQL  Xexclude from comparisonLeanXcale  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformJavaScript DBMS libraryA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelMultivalue DBMSDocument store
Relational DBMS
Key-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#91  Overall
#1  Multivalue DBMS
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlalasql.orgwww.leanxcale.comwww.postgres-xl.orgsplicemachine.com
Technical documentationgithub.com/­AlaSQL/­alasqlwww.postgres-xl.org/­documentationsplicemachine.com/­how-it-works
DeveloperSoftware AGAndrey Gershun & Mathias R. WulffLeanXcaleSplice Machine
Initial release1971201420152014 infosince 2012, originally named StormDB2014
Current release10 R1, October 20183.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT-LicensecommercialOpen Source infoMozilla public licenseOpen Source infoAGPL 3.0, commercial license 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 languageJavaScriptCJava
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 infoXML type, but no XML query functionality
Secondary indexesyesnoyesyes
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 infothrough Apache Derbyyes infodistributed, parallel query executionyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JavaScript APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Native Spark Datasource
ODBC
Supported programming languagesNaturalJavaScriptC
Java
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresin Naturalnouser defined functionsyes infoJava
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanonehorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoonly for local storage and DOM-storageACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.noyesyesnoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)nofine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"AlaSQLLeanXcalePostgres-XLSplice Machine
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