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DBMS > Atos Standard Common Repository vs. Cassandra vs. EsgynDB vs. Microsoft Azure Data Explorer vs. NuoDB

System Properties Comparison Atos Standard Common Repository vs. Cassandra vs. EsgynDB vs. Microsoft Azure Data Explorer vs. NuoDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCassandra  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonNuoDB  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 accessEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFully managed big data interactive analytics platformNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelDocument store
Key-value store
Wide column storeRelational DBMSRelational DBMS infocolumn orientedRelational DBMS
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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score98.83
Rank#12  Overall
#1  Wide column stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycassandra.apache.orgwww.esgyn.cnazure.microsoft.com/­services/­data-explorerwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationcassandra.apache.org/­doc/­latestdocs.microsoft.com/­en-us/­azure/­data-explorerdoc.nuodb.com
DeveloperAtos Convergence CreatorsApache Software Foundation infoApache top level project, originally developped by FacebookEsgynMicrosoftDassault Systèmes infooriginally NuoDB, Inc.
Initial release20162008201520192013
Current release17034.1.3, July 2023cloud service with continuous releases
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercialcommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaJavaC++, JavaC++
Server operating systemsLinuxBSD
Linux
OS X
Windows
Linuxhostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateoptionalyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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.yesnonoyesno
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solutionyesall fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like SELECT, DML and DDL statements (CQL)yesKusto Query Language (KQL), SQL subsetyes
APIs and other access methodsLDAPProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
ADO.NET
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoJava Stored ProceduresYes, possible languages: KQL, Python, RJava, SQL
Triggersyesyesnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infono "single point of failure"ShardingSharding infoImplicit feature of the cloud servicedata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication between multi datacentersyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesSpark 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 infocan be individually decided for each write operation
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno infoAtomicity and isolation are supported for single operationsACIDnoACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC
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 infoTemporary table
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per objectfine grained access rights according to SQL-standardAzure Active Directory AuthenticationStandard SQL roles/ privileges, Administrative Users
More information provided by the system vendor
Atos Standard Common RepositoryCassandraEsgynDBMicrosoft Azure Data ExplorerNuoDB
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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