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DBMS > Atos Standard Common Repository vs. Google Cloud Datastore vs. SAP IQ vs. TigerGraph vs. Trafodion

System Properties Comparison Atos Standard Common Repository vs. Google Cloud Datastore vs. SAP IQ vs. TigerGraph vs. Trafodion

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonTigerGraph  Xexclude from comparisonTrafodion  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformColumnar RDBMS optimized for Big Data analyticsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Key-value store
Document storeRelational DBMS infocolumn-orientedGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score2.75
Rank#104  Overall
#53  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­datastorewww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlwww.tigergraph.comtrafodion.apache.org
Technical documentationcloud.google.com/­datastore/­docshelp.sap.com/­docs/­SAP_IQdocs.tigergraph.comtrafodion.apache.org/­documentation.html
DeveloperAtos Convergence CreatorsGoogleSAP, formerly SybaseApache Software Foundation, originally developed by HP
Initial release20162008199420172014
Current release170316.1 SPS04, April 20192.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++, Java
Server operating systemsLinuxhostedAIX
HP-UX
Linux
Solaris
Windows
LinuxLinux
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesyes
Typing infopredefined data types such as float or dateoptionalyes, details hereyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yesSQL-like query language (GSQL)yes
APIs and other access methodsLDAPgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Ruby
C++
Java
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnousing Google App EngineyesyesJava Stored Procedures
TriggersyesCallbacks using the Google Apps Engineyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingshared disk or shared nothing architectures with SAP IQ MultiplexerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using PaxosSAP/Sybase Replication Serveryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud DataflowHadoop integrationyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID
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.yesnononono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryGoogle Cloud DatastoreSAP IQ infoformer name: Sybase IQTigerGraphTrafodion
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