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DBMS > 4D vs. AlaSQL vs. Alibaba Cloud MaxCompute vs. SAP Adaptive Server vs. Splice Machine

System Properties Comparison 4D vs. AlaSQL vs. Alibaba Cloud MaxCompute vs. SAP Adaptive Server vs. Splice Machine

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAlaSQL  Xexclude from comparisonAlibaba Cloud MaxCompute  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemJavaScript DBMS libraryMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score35.09
Rank#25  Overall
#17  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.4d.comalasql.orgwww.alibabacloud.com/­product/­maxcomputewww.sap.com/­products/­technology-platform/­sybase-ase.htmlsplicemachine.com
Technical documentationdeveloper.4d.comgithub.com/­AlaSQL/­alasqlwww.alibabacloud.com/­help/­en/­maxcomputehelp.sap.com/­docs/­SAP_ASEsplicemachine.com/­how-it-works
Developer4D, IncAndrey Gershun & Mathias R. WulffAlibabaSAP, SybaseSplice Machine
Initial release19842014201619872014
Current releasev20, April 202316.03.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT-LicensecommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC and C++Java
Server operating systemsOS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)hostedAIX
HP-UX
Linux
Solaris
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.yesnonono
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92Close to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageyesyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JavaScript APIFluentd
Flume
MaxCompute Console
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
Native Spark Datasource
ODBC
Supported programming languages4D proprietary IDE
PHP
JavaScriptJavaC
C++
Cobol
Java
Java
Perl
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnouser defined functions infoin JavaJava and Transact-SQLyes infoJava
Triggersyesyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud servicehorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoonly for local storage and DOM-storagenoACIDACID
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.noyesnoyes
User concepts infoAccess controlUsers and groupsnoAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
4D infoformer name: 4th DimensionAlaSQLAlibaba Cloud MaxComputeSAP Adaptive Server infoformer name: Sybase ASESplice Machine
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