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DBMS > Atos Standard Common Repository vs. Databricks vs. eXtremeDB vs. ObjectBox vs. PouchDB

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. eXtremeDB vs. ObjectBox vs. PouchDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisoneXtremeDB  Xexclude from comparisonObjectBox  Xexclude from comparisonPouchDB  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 networksThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Natively in-memory DBMS with options for persistency, high-availability and clusteringLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Relational DBMS
Time Series DBMS
Object oriented DBMS
Vector DBMS
Document store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comwww.mcobject.comgithub.com/­objectbox
objectbox.io
pouchdb.com
Technical documentationdocs.databricks.comwww.mcobject.com/­docs/­extremedb.htmdocs.objectbox.iopouchdb.com/­guides
DeveloperAtos Convergence CreatorsDatabricksMcObjectObjectBox LimitedApache Software Foundation
Initial release20162013200120172012
Current release17038.2, 20214.0 (May 2024)7.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialcommercialBindings are released under Apache 2.0 infoApache License 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C and C++JavaScript
Server operating systemsLinuxhostedAIX
HP-UX
Linux
macOS
Solaris
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyes, plus "flex" map-like typesno
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.yesyesno infosupport of XML interfaces availablenono
Secondary indexesyesyesyesyesyes infovia views
SQL infoSupport of SQLnowith Databricks SQLyes infowith the option: eXtremeSQLnono
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Proprietary native APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
.Net
C
C#
C++
Java
Lua
Python
Scala
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
JavaScript
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesnoView functions in JavaScript
Triggersyesyes infoby defining eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning / shardingnoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Data sync between devices allowing occasional connected databases to work completely offlineMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes
User concepts infoAccess controlLDAP bind authenticationyesno
More information provided by the system vendor
Atos Standard Common RepositoryDatabrickseXtremeDBObjectBoxPouchDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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