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DBMS > Atos Standard Common Repository vs. MaxDB vs. RavenDB vs. SAP Adaptive Server vs. Spark SQL

System Properties Comparison Atos Standard Common Repository vs. MaxDB vs. RavenDB vs. SAP Adaptive Server vs. Spark SQL

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonRavenDB  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSpark SQL  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA robust and reliable RDBMS optimized to run all major SAP solutionsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score35.09
Rank#25  Overall
#17  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorymaxdb.sap.comravendb.netwww.sap.com/­products/­technology-platform/­sybase-ase.htmlspark.apache.org/­sql
Technical documentationmaxdb.sap.com/­documentationravendb.net/­docshelp.sap.com/­docs/­SAP_ASEspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAtos Convergence CreatorsSAP, acquired from Software AG (Adabas-D) in 1997Hibernating RhinosSAP, SybaseApache Software Foundation
Initial release20161984201019872014
Current release17037.9.10.12, February 20245.4, July 202216.03.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freeOpen Source infoAGPL version 3, commercial license availablecommercialOpen Source infoApache 2.0
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 languageJavaC++C#C and C++Scala
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
AIX
HP-UX
Linux
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalyesnoyesyes
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 indexesyesyesyesyesno
SQL infoSupport of SQLnoyesSQL-like query language (RQL)yesSQL-like DML and DDL statements
APIs and other access methodsLDAPADO.NET
JDBC
ODBC
WebDAV
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
C#
Java
Perl
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Cobol
Java
Java
Perl
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyesJava and Transact-SQLno
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardinghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID, Cluster-wide transaction availableACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnono
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardAuthorization levels configured per client per databasefine grained access rights according to SQL-standardno

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More resources
Atos Standard Common RepositoryMaxDB infoformerly named Adabas-DRavenDBSAP Adaptive Server infoformer name: Sybase ASESpark SQL
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