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DBMS > Atos Standard Common Repository vs. EXASOL vs. Google BigQuery vs. Kyligence Enterprise vs. Microsoft SQL Server

System Properties Comparison Atos Standard Common Repository vs. EXASOL vs. Google BigQuery vs. Kyligence Enterprise vs. Microsoft SQL Server

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMicrosoft SQL Server  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 networksHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Large scale data warehouse service with append-only tablesA distributed analytics engine for big data, built on top of Apache KylinMicrosofts flagship relational DBMS
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#119  Overall
#57  Relational DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score0.40
Rank#275  Overall
#125  Relational DBMS
Score845.81
Rank#3  Overall
#3  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.exasol.comcloud.google.com/­bigquerykyligence.io/­kyligence-enterprisewww.microsoft.com/­en-us/­sql-server
Technical documentationwww.exasol.com/­resourcescloud.google.com/­bigquery/­docslearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperAtos Convergence CreatorsExasolGoogleKyligence, Inc.Microsoft
Initial release20162000201020161989
Current release1703SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial inforestricted free version is available
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 languageJavaJavaC++
Server operating systemsLinuxhostedLinuxLinux
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesnononoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesyesANSI SQL for queries (using Apache Calcite)yes
APIs and other access methodsLDAP.Net
JDBC
ODBC
WebSocket
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesAll languages with LDAP bindingsJava
Lua
Python
R
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions infoin JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDno infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesnonoyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and roles according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryEXASOLGoogle BigQueryKyligence EnterpriseMicrosoft SQL Server
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