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DBMS > Atos Standard Common Repository vs. Graph Engine vs. Infobright vs. Microsoft Azure Synapse Analytics vs. SiriDB

System Properties Comparison Atos Standard Common Repository vs. Graph Engine vs. Infobright vs. Microsoft Azure Synapse Analytics vs. SiriDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonInfobright  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSiriDB  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 in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen Source Time Series DBMS
Primary database modelDocument store
Key-value store
Graph DBMS
Key-value store
Relational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.graphengine.ioignitetech.com/­softwarelibrary/­infobrightdbazure.microsoft.com/­services/­synapse-analyticssiridb.com
Technical documentationwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticsdocs.siridb.com
DeveloperAtos Convergence CreatorsMicrosoftIgnite Technologies Inc.; formerly InfoBright Inc.MicrosoftCesbit
Initial release20162010200520162017
Current release1703
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialOpen Source infoMIT License
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.
Implementation languageJava.NET and CCC++C
Server operating systemsLinux.NETLinux
Windows
hostedLinux
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes infoNumeric data
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.yesnononono
Secondary indexesyesno infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLnonoyesyesno
APIs and other access methodsLDAPRESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languagesAll languages with LDAP bindingsC#
C++
F#
Visual Basic
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyesnoTransact SQLno
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioningnoneSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesyessimple rights management via user accounts

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More resources
Atos Standard Common RepositoryGraph Engine infoformer name: TrinityInfobrightMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSiriDB
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