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DBMS > Atos Standard Common Repository vs. BaseX vs. CockroachDB vs. Microsoft Access vs. Titan

System Properties Comparison Atos Standard Common Repository vs. BaseX vs. CockroachDB vs. Microsoft Access vs. Titan

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBaseX  Xexclude from comparisonCockroachDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTitan  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.CockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Titan is a Graph DBMS optimized for distributed clusters.
Primary database modelDocument store
Key-value store
Native XML DBMSRelational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybasex.orgwww.cockroachlabs.comwww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­thinkaurelius/­titan
Technical documentationdocs.basex.orgwww.cockroachlabs.com/­docsdeveloper.microsoft.com/­en-us/­accessgithub.com/­thinkaurelius/­titan/­wiki
DeveloperAtos Convergence CreatorsBaseX GmbHCockroach LabsMicrosoftAurelius, owned by DataStax
Initial release20162007201519922012
Current release170310.7, August 202323.1.1, May 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source infoApache 2.0, commercial license availablecommercial infoBundled with Microsoft OfficeOpen Source infoApache license, version 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 languageJavaJavaGoC++Java
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Unix
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freedynamic schemayesyes
Typing infopredefined data types such as float or dateoptionalno infoXQuery supports typesyesyesyes
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.yesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnonoyes, wire compatible with PostgreSQLyes infobut not compliant to any SQL standardno
APIs and other access methodsLDAPJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBCADO.NET
DAO
ODBC
OLE DB
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesAll languages with LDAP bindingsActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyesnoyes infosince Access 2010 using the ACE-engineyes
Triggersyesyes infovia eventsnoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonehorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication using RAFTnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsmultiple readers, single writerACIDACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlLDAP bind authenticationUsers with fine-grained authorization concept on 4 levelsRole-based access controlno infoa simple user-level security was built in till version Access 2003User authentification and security via Rexster Graph Server

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More resources
Atos Standard Common RepositoryBaseXCockroachDBMicrosoft AccessTitan
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