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DBMS > Atos Standard Common Repository vs. Couchbase vs. Microsoft Azure Data Explorer vs. Rockset

System Properties Comparison Atos Standard Common Repository vs. Couchbase vs. Microsoft Azure Data Explorer vs. Rockset

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonRockset  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 distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseFully managed big data interactive analytics platformA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store
Key-value store
Document storeRelational DBMS infocolumn orientedDocument store
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Document 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
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.59
Rank#36  Overall
#5  Document stores
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.couchbase.comazure.microsoft.com/­services/­data-explorerrockset.com
Technical documentationdocs.couchbase.comdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.rockset.com
DeveloperAtos Convergence CreatorsCouchbase, Inc.MicrosoftRockset
Initial release2016201120192019
Current release1703Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 2023cloud service with continuous releases
License infoCommercial or Open SourcecommercialOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, Go and ErlangC++
Server operating systemsLinuxLinux
OS X
Windows
hostedhosted
Data schemeSchema and schema-less with LDAP viewsschema-freeFixed schema with schema-less datatypes (dynamic)schema-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-typesdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesyesall fields are automatically indexedall fields are automatically indexed
SQL infoSupport of SQLnoSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesKusto Query Language (KQL), SQL subsetRead-only SQL queries, including JOINs
APIs and other access methodsLDAPCLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP REST
Supported programming languagesAll languages with LDAP bindings.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoFunctions and timers in JavaScript and UDFs in Java, Python, SQL++Yes, possible languages: KQL, Python, Rno
Triggersyesyes infovia the TAP protocolyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic ShardingSharding infoImplicit feature of the cloud serviceAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoincluding cross data center replication
Source-replica replication
yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Eventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoEphemeral bucketsno
User concepts infoAccess controlLDAP bind authenticationUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.Azure Active Directory AuthenticationAccess rights for users and organizations can be defined via Rockset console

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Atos Standard Common RepositoryCouchbase infoOriginally called MembaseMicrosoft Azure Data ExplorerRockset
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