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DBMS > DataFS vs. EXASOL vs. SAP Adaptive Server vs. Sequoiadb vs. Splice Machine

System Properties Comparison DataFS vs. EXASOL vs. SAP Adaptive Server vs. Sequoiadb vs. Splice Machine

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonEXASOL  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSequoiadb  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.High-performance, in-memory, MPP database specifically designed for in-memory analytics.The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSNewSQL database with distributed OLTP and SQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsGraph DBMSSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#369  Overall
#18  Object oriented DBMS
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score32.67
Rank#25  Overall
#17  Relational DBMS
Score0.42
Rank#263  Overall
#41  Document stores
#121  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitenewdatabase.comwww.exasol.comwww.sap.com/­products/­technology-platform/­sybase-ase.htmlwww.sequoiadb.comsplicemachine.com
Technical documentationdev.mobiland.com/­Overview.xspwww.exasol.com/­resourceshelp.sap.com/­docs/­SAP_ASEwww.sequoiadb.com/­en/­index.php?m=Files&a=indexsplicemachine.com/­how-it-works
DeveloperMobiland AGExasolSAP, SybaseSequoiadb Ltd.Splice Machine
Initial release20182000198720132014
Current release1.1.263, October 202216.03.1, March 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2Open 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 languageC and C++C++Java
Server operating systemsWindowsAIX
HP-UX
Linux
Solaris
Unix
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes 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.nononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyesSQL-like query languageyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
.Net
JDBC
ODBC
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
proprietary protocol using JSONJDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
Java
Lua
Python
R
C
C++
Cobol
Java
Java
Perl
PHP
Python
.Net
C++
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsJava and Transact-SQLJavaScriptyes infoJava
Triggersno, except callback-events from server when changes happenedyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardinghorizontal partitioningShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.noyesnoyes
User concepts infoAccess controlWindows-ProfileAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardsimple password-based access controlAccess rights for users, groups and roles according to SQL-standard

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More resources
DataFSEXASOLSAP Adaptive Server infoformer name: Sybase ASESequoiadbSplice Machine
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