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DBMS > Atos Standard Common Repository vs. Cassandra vs. Microsoft Azure Data Explorer vs. mSQL vs. MySQL

System Properties Comparison Atos Standard Common Repository vs. Cassandra vs. Microsoft Azure Data Explorer vs. mSQL vs. MySQL

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCassandra  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonMySQL  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 networksWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessFully managed big data interactive analytics platformmSQL (Mini SQL) is a simple and lightweight RDBMSWidely used open source RDBMS
Primary database modelDocument store
Key-value store
Wide column storeRelational DBMS infocolumn orientedRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsVector DBMS infostarting with release V5Document 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
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score98.83
Rank#12  Overall
#1  Wide column stores
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycassandra.apache.orgazure.microsoft.com/­services/­data-explorerhughestech.com.au/­products/­msqlwww.mysql.com
Technical documentationcassandra.apache.org/­doc/­latestdocs.microsoft.com/­en-us/­azure/­data-explorerdev.mysql.com/­doc
DeveloperAtos Convergence CreatorsApache Software Foundation infoApache top level project, originally developped by FacebookMicrosoftHughes TechnologiesOracle infosince 2010, originally MySQL AB, then Sun
Initial release20162008201919941995
Current release17034.1.3, July 2023cloud service with continuous releases4.4, October 20218.4.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercial infofree licenses can be providedOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCC and C++
Server operating systemsLinuxBSD
Linux
OS X
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeFixed schema with schema-less datatypes (dynamic)yesyes
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-typesyesyes
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.yesnoyesnoyes
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solutionall fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like SELECT, DML and DDL statements (CQL)Kusto Query Language (KQL), SQL subsetA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes infowith proprietary extensions
APIs and other access methodsLDAPProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAll languages with LDAP bindingsC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Delphi
Java
Perl
PHP
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoYes, possible languages: KQL, Python, Rnoyes infoproprietary syntax
Triggersyesyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infono "single point of failure"Sharding infoImplicit feature of the cloud servicenonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Immediate Consistency
noneImmediate Consistency
Foreign keys infoReferential integritynonononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno infoAtomicity and isolation are supported for single operationsnonoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes infotable locks or row locks depending on storage engine
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.yesnononoyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per objectAzure Active Directory AuthenticationnoUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Atos Standard Common RepositoryCassandraMicrosoft Azure Data ExplorermSQL infoMini SQLMySQL
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
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