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DBMS > Atos Standard Common Repository vs. eXtremeDB vs. Microsoft Azure Data Explorer vs. ObjectBox vs. PouchDB

System Properties Comparison Atos Standard Common Repository vs. eXtremeDB vs. Microsoft Azure Data Explorer vs. ObjectBox vs. PouchDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisoneXtremeDB  Xexclude from comparisonMicrosoft Azure Data Explorer  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 networksNatively in-memory DBMS with options for persistency, high-availability and clusteringFully managed big data interactive analytics platformLightweight, 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
Relational DBMS
Time Series DBMS
Relational DBMS infocolumn orientedObject oriented DBMS
Vector DBMS
Document store
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score3.28
Rank#83  Overall
#45  Relational 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.mcobject.comazure.microsoft.com/­services/­data-explorergithub.com/­objectbox
objectbox.io
pouchdb.com
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.objectbox.iopouchdb.com/­guides
DeveloperAtos Convergence CreatorsMcObjectMicrosoftObjectBox LimitedApache Software Foundation
Initial release20162001201920172012
Current release17038.2, 2021cloud service with continuous releases4.0 (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 servicenonoyesnono
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 systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedAndroid
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 viewsyesFixed schema with schema-less datatypes (dynamic)yesschema-free
Typing infopredefined data types such as float or dateoptionalyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes, 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.yesno infosupport of XML interfaces availableyesnono
Secondary indexesyesyesall fields are automatically indexedyesyes infovia views
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLKusto Query Language (KQL), SQL subsetnono
APIs and other access methodsLDAP.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietary native APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
JavaScript
Server-side scripts infoStored proceduresnoyesYes, possible languages: KQL, Python, RnoView functions in JavaScript
Triggersyesyes infoby defining eventsyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning / shardingSharding infoImplicit feature of the cloud servicenoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.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 methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.yesyesnonoyes
User concepts infoAccess controlLDAP bind authenticationAzure Active Directory Authenticationyesno
More information provided by the system vendor
Atos Standard Common RepositoryeXtremeDBMicrosoft Azure Data ExplorerObjectBoxPouchDB
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